Ignite Creation Date:
2025-12-24 @ 9:43 PM
Ignite Modification Date:
2026-01-04 @ 7:00 PM
Study NCT ID:
NCT03211832
Status:
COMPLETED
Last Update Posted:
2023-02-10
First Post:
2017-07-06
Is NOT Gene Therapy:
True
Has Adverse Events:
True
Brief Title:
Disseminating Public Health Evidence to Support Prevention and Control of Diabetes Among Local Health Departments
Sponsor:
Organization:
Raw JSON
{'hasResults': True, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}}, 'resultsSection': {'moreInfoModule': {'pointOfContact': {'email': 'rbrownson@wustl.edu', 'phone': '3149350121', 'title': 'Ross Brownson', 'organization': 'Prevention Research Center, Brown School, Washington University in St. Louis'}, 'certainAgreement': {'piSponsorEmployee': False, 'restrictiveAgreement': False}, 'limitationsAndCaveats': {'description': 'The stepped-wedge design allowed all 12 health departments to participate in intervention but completing surveys at 4 time points was a burden to employees. Due to staff turnover, we added new employees at each time point, and lost others due to no longer working at the health department. Responses to the quantitative survey were self-reported, which introduces the possibility of response bias. Response rates dropped at the last data collection in spring 2020 during LHD pandemic efforts.'}}, 'adverseEventsModule': {'description': 'Clinical adverse event data were not collected because there were no study outcomes involving a health behavior, a disease or health condition, a symptom, or health status. Outcomes were perceived capacity for and organizational supports for use of evidence-based decision making among public health department employees.\n\nThe main risk to participants was loss of confidentiality of survey response, which was monitored. No losses of confidentiality were found by or reported to the study team.', 'eventGroups': [{'id': 'EG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.', 'otherNumAtRisk': 0, 'deathsNumAtRisk': 0, 'otherNumAffected': 0, 'seriousNumAtRisk': 0, 'deathsNumAffected': 0, 'seriousNumAffected': 0}, {'id': 'EG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.', 'otherNumAtRisk': 0, 'deathsNumAtRisk': 0, 'otherNumAffected': 0, 'seriousNumAtRisk': 0, 'deathsNumAffected': 0, 'seriousNumAffected': 0}], 'frequencyThreshold': '0'}, 'outcomeMeasuresModule': {'outcomeMeasures': [{'type': 'PRIMARY', 'title': 'Evidence-based Decision Making (EBDM) Competencies', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '2.05', 'groupId': 'OG000', 'lowerLimit': '1.87', 'upperLimit': '2.23'}, {'value': '1.98', 'groupId': 'OG001', 'lowerLimit': '1.82', 'upperLimit': '2.13'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'Survey participants were asked to rate the perceived importance of each of 10 skills pertinent to evidence-based decision making on an 11-point ordered scale (possible values 0 not at all important to 10 very important for each skill), and to rate the perceived availability in the agency of each of the same skills from 0-10 (0 not at all available to 10 very available). A skill gap was calculated for each skill as perceived importance minus perceived availability (possible values -10 to +10 for each skill). An overall EBDM skill gap was created by taking the average across all 10 skill gaps (possible values -10 to +10). Higher scores indicate a worse outcome.\n\nSkill items: community assessment; quantifying the issue; prioritization; action planning; adapting interventions; evaluation designs; quantitative evaluation; qualitative evaluation; economic evaluation; and communicating evidence to decision-makers. A definition for each was provided that started with the word "understand".', 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Evidence-based Intervention Score', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '4.84', 'groupId': 'OG000', 'lowerLimit': '4.61', 'upperLimit': '5.07'}, {'value': '4.58', 'groupId': 'OG001', 'lowerLimit': '4.36', 'upperLimit': '4.80'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'Self-reported number of evidence-based chronic disease prevention interventions implemented by the local health department from a pre-populated list of 8 evidence-based interventions to prevent diabetes and other chronic diseases (possible score 0 to 8). Higher score indicates a better outcome.', 'unitOfMeasure': 'units on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Awareness of Culture Supportive of EBDM', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '5.34', 'groupId': 'OG000', 'lowerLimit': '5.22', 'upperLimit': '5.47'}, {'value': '5.43', 'groupId': 'OG001', 'lowerLimit': '5.31', 'upperLimit': '5.54'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale items measure personal awareness of opportunities to learn about and apply EBDM among local level chronic disease control public health practitioners. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nThe items were: a) I am provided the time to identify evidence-based programs and practices; b) My direct supervisor recognizes the value of management practices that facilitate evidence-based decision-making; c) My work group/division offers employees opportunities to attend evidence-based-decision making trainings; and d) Top leadership in my agency (e.g., director, assistant directors) recognizes the value of evidence-based decision-making.', 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Capacity and Expectations for Evidence-based Decision Making (EBDM)', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '5.22', 'groupId': 'OG000', 'lowerLimit': '5.11', 'upperLimit': '5.33'}, {'value': '5.24', 'groupId': 'OG001', 'lowerLimit': '5.14', 'upperLimit': '5.35'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale items assess perceived supervisory expectations for EBDM use and perceived work unit/division capacity to carry out EBDM. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items (possible scores 1 to 7). Higher scores mean a better outcome.\n\nItems: a) I use EBDMin my work; b) My direct supervisor expects me to use evidence-based decision making; c) My performance is partially evaluated on how well I use evidence-based decision making in my work; d) My work group/division currently has the resources (e.g. staff, facilities, partners) to support application of evidence-based decision making; e) The staff in my work group/division has the necessary skills to carry out evidence-based decision making; f) The majority of my work group/division's external partners support use of EBDM; and g) Top leadership in my agency encourages use of EBDM.", 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Resource Availability', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '4.46', 'groupId': 'OG000', 'lowerLimit': '4.32', 'upperLimit': '4.60'}, {'value': '4.47', 'groupId': 'OG001', 'lowerLimit': '4.35', 'upperLimit': '4.60'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale items measured perceived work unit's resource availability for evidence-based decision making. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nThe items in the scale were: a) Informational resources (e.g. academic journals, guidelines, and toolkits) are available to my work group/division to promote the use of evidence-based decision making; b) My work group/division engages a diverse external network of partners that share resources to facilitate evidence-based decision making; and c) Stable funding is available for evidence-based decision making.", 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Evaluation Capacity of Work Unit', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '5.23', 'groupId': 'OG000', 'lowerLimit': '5.10', 'upperLimit': '5.33'}, {'value': '5.19', 'groupId': 'OG001', 'lowerLimit': '5.07', 'upperLimit': '5.31'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale of work unit's support of community needs assessment, utilization of evaluation for pre and post program implementation as well as for dissemination purposes. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) My work group/division supports community needs assessments to ensure that evidence-based decision-making approaches continue to meet community needs; b) My work group/division plans for evaluation of interventions prior to implementation; c) My work group/division uses evaluation data to monitor and improve interventions; and d) My work group/division distributes intervention evaluation findings to other organizations that can use our findings.", 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'EBDM Climate Cultivation', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '5.21', 'groupId': 'OG000', 'lowerLimit': '5.08', 'upperLimit': '5.34'}, {'value': '5.26', 'groupId': 'OG001', 'lowerLimit': '5.14', 'upperLimit': '5.37'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale assessing perceived health department culture supportive of EBDM, information sharing and participatory decision making. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) My work group/division has access to evidence-based decision making information that is relevant to community needs; b) When decisions are made within my work group/division, program staff members are asked for input; c) Information is widely shared in my work group/division so that everyone who makes decisions has access to all available knowledge; d) My agency is committed to hiring people with relevant training or experience in public health core disciplines (e.g., epidemiology, health education, environmental health); and e) My agency has a culture that supports the processes necessary for EBDM.', 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'PRIMARY', 'title': 'Partnerships to Support EBDM', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'OG000'}, {'value': '489', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '5.94', 'groupId': 'OG000', 'lowerLimit': '5.86', 'upperLimit': '6.03'}, {'value': '5.91', 'groupId': 'OG001', 'lowerLimit': '5.83', 'upperLimit': '6.00'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale items assess perceived importance of partnering across sectors to share resources and address population health issues. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) Our collaborative partnerships have missions that align with my agency; b) It is important to my agency to have partners who share resources (money, staff time, space, materials); c) It is important to my agency to have partners in health care to address population health issues; and d) It is important to my agency to have partners in other sectors (outside of health) to address population health issues', 'unitOfMeasure': 'score on a scale', 'dispersionType': '95% Confidence Interval', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'The unit of analysis is completed surveys due to the stepped-wedge design and having a different set of survey participants at each of the 4 survey time points. All baseline surveys were analyzed as control; at T4 all surveys were analyzed as intervention. Survey participants were health department employees. Due to staff turnover, some had left the agency between each data collection period and others hired, so additional health department staff were invited at Survey T2, T3, and T4.'}, {'type': 'SECONDARY', 'title': 'Inter-agency Connectedness', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'OG000'}, {'value': 'NA', 'groupId': 'OG001'}]}, {'units': 'Agencies', 'counts': [{'value': '224', 'groupId': 'OG000'}, {'value': '261', 'groupId': 'OG001'}]}], 'groups': [{'id': 'OG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'OG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}], 'classes': [{'categories': [{'measurements': [{'value': '6.8', 'spread': '1.7', 'groupId': 'OG000'}, {'value': '8.5', 'spread': '2.7', 'groupId': 'OG001'}]}]}], 'paramType': 'MEAN', 'timeFrame': '24 months post baseline', 'description': 'The average number of links per agency is the measure of connectedness with other agencies that is reported here. The measure is from a separate self-report social network survey.', 'unitOfMeasure': 'Agencies', 'dispersionType': 'Standard Deviation', 'reportingStatus': 'POSTED', 'typeUnitsAnalyzed': 'Agencies', 'denomUnitsSelected': 'Agencies', 'populationDescription': 'Agencies with completed social network surveys at baseline when all health departments were in control status and at the end of the study when all health departments were in the intervention.'}]}, 'participantFlowModule': {'groups': [{'id': 'FG000', 'title': 'Group 1 - Control (2 Months), Then Intervention (24 Months)', 'description': 'While in control status, the health departments will conduct usual public health practice.\n\nDuring Intervention, each health department will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}, {'id': 'FG001', 'title': 'Group 2 - Control (10 Months), Then Intervention (16 Months)', 'description': 'While in control status, the health department conducted usual public health practice.\n\nIntervention began with a multi-day training in evidence-based decision making. Then each health department selected and helped develop intra-organizational procedures, policies, and additional activities to embed evidence-based decision making into day-to-day public health practice.'}, {'id': 'FG002', 'title': 'Group 3 - Control (18 Months), Then Intervention (8 Months)', 'description': 'While in control status, the health department conducted usual public health practice.\n\nIntervention began with a multi-day training in evidence-based decision making. Then each health department selected and helped develop intra-organizational procedures, policies, and additional activities to embed evidence-based decision making into day-to-day public health practice.'}], 'periods': [{'title': 'Overall Study', 'milestones': [{'type': 'STARTED', 'comment': 'Baseline Survey. All participants were employees at participating local health departments.', 'achievements': [{'comment': 'In Group 1, 78 health department employees agreed to participate and completed the baseline survey.', 'groupId': 'FG000', 'numUnits': '4', 'numSubjects': '78'}, {'comment': 'In Group 2, 85 health department employees agreed to participate and completed the baseline survey.', 'groupId': 'FG001', 'numUnits': '4', 'numSubjects': '85'}, {'comment': 'In Group 3, 66 health department employees agreed to participate and completed the baseline survey.', 'groupId': 'FG002', 'numUnits': '4', 'numSubjects': '66'}]}, {'type': 'Survey Time 2', 'comment': 'At Survey Time 2, 37 health department employees were added to replace those no longer working at the agency.', 'achievements': [{'comment': 'Group 1 was in intervention status at Survey Time 2 and so Group 1 participant surveys were analyzed as intervention. At Survey Time 2, 8 health department employees were added to replace those no longer working at the health department. In Group 1, 83 unique individuals completed the Time 2 survey.', 'groupId': 'FG000', 'numUnits': '4', 'numSubjects': '83'}, {'comment': 'At Survey Time 2, Group 2 was still in control status. At Survey Time 2, 19 health department employees were added to replace those no longer working at the health department. A total of 87 unique individual health department employees in Group 2 completed the Time 2 survey.', 'groupId': 'FG001', 'numUnits': '4', 'numSubjects': '87'}, {'comment': 'At Survey Time 2, Group 3 was still in control status. Ten health department employees were added to replace those no longer at the agency. In Group 3, 63 unique individuals completed the survey at Time 2.', 'groupId': 'FG002', 'numUnits': '4', 'numSubjects': '63'}]}, {'type': 'Survey Time 3', 'comment': 'More unique health department employee participants were again added (27 due to employee turnover and 15 to better reflect Group 2 health department units involved in the intervention).', 'achievements': [{'comment': 'In Group 1, 6 health department employees were added to replace employees no longer at the health department. At Survey Time 3, 70 unique individuals completed the survey.', 'groupId': 'FG000', 'numUnits': '4', 'numSubjects': '70'}, {'comment': 'Groups 1 and 2 were in intervention status at Survey Time 3 and so their employee participant surveys were analyzed as intervention. Ten health department employees were added at Survey Time 3 to replace those no longer with the agency and 15 more were added to better reflect participating units within the health departments. At Survey Time 3, 112 unique individuals completed the survey in Group 2.', 'groupId': 'FG001', 'numUnits': '4', 'numSubjects': '112'}, {'comment': 'Group 3 was still in control status at Survey Time 3. Eleven health department employees were added at Survey Time 3 to replace those no longer working at the agency.', 'groupId': 'FG002', 'numUnits': '4', 'numSubjects': '55'}]}, {'type': 'Survey Time 4', 'comment': 'At Survey Time 4, all groups were in Intervention status. At Survey Time 4, 23 health department employees were added to replace those no longer working at the health departments.', 'achievements': [{'comment': 'At Survey Time 4, 7 health department employees were added to replace those no longer with the health departments.70 unique individuals completed the Time 4 survey.', 'groupId': 'FG000', 'numUnits': '4', 'numSubjects': '70'}, {'comment': 'At Survey Time 4, 10 health department employees were added to replace some of those no longer with the health departments.', 'groupId': 'FG001', 'numUnits': '4', 'numSubjects': '97'}, {'comment': 'At Survey Time 4, 6 health department employees were added to replace those no longer with the agency.', 'groupId': 'FG002', 'numUnits': '4', 'numSubjects': '60'}]}, {'type': 'COMPLETED', 'achievements': [{'comment': 'In the stepped wedge design, all groups were in intervention at the last data collection. 227 unique individuals completed self-report surveys at the end of the study, but only a portion of these had completed the baseline survey. A total of 331 unique individuals completed the survey at one or more time points.', 'groupId': 'FG000', 'numUnits': '4', 'numSubjects': '42'}, {'groupId': 'FG001', 'numUnits': '4', 'numSubjects': '33'}, {'groupId': 'FG002', 'numUnits': '4', 'numSubjects': '32'}]}, {'type': 'NOT COMPLETED', 'achievements': [{'groupId': 'FG000', 'numUnits': '0', 'numSubjects': '36'}, {'groupId': 'FG001', 'numUnits': '0', 'numSubjects': '52'}, {'groupId': 'FG002', 'numUnits': '0', 'numSubjects': '34'}]}], 'dropWithdraws': [{'type': 'No longer with agency', 'reasons': [{'groupId': 'FG000', 'numSubjects': '32'}, {'groupId': 'FG001', 'numSubjects': '49'}, {'groupId': 'FG002', 'numSubjects': '30'}]}, {'type': 'Declined survey', 'reasons': [{'groupId': 'FG000', 'numSubjects': '3'}, {'groupId': 'FG001', 'numSubjects': '3'}, {'groupId': 'FG002', 'numSubjects': '2'}]}, {'type': 'Not available during data collection', 'reasons': [{'groupId': 'FG000', 'numSubjects': '1'}, {'groupId': 'FG001', 'numSubjects': '0'}, {'groupId': 'FG002', 'numSubjects': '2'}]}]}], 'typeUnitsAnalyzed': 'Health departments/agencies', 'recruitmentDetails': '12 local public health departments were recruited into the study in 3 groups. Once a health department agreed to participate, health department managers provided employee lists for self-report survey invitations.', 'preAssignmentDetails': "Each group of 4 health departments crossed over into intervention at different times.\n\nIn the stepped-wedge design, at baseline, surveys from all 12 health departments were analyzed as control surveys. Once a health department had crossed over into intervention, all remaining surveys of that health department's employees were analyzed as intervention surveys. At the last survey data collection, all surveys were analyzed as intervention surveys."}, 'baselineCharacteristicsModule': {'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'BG000'}, {'value': 'NA', 'groupId': 'BG001'}, {'value': 'NA', 'groupId': 'BG002'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'BG000'}, {'value': '489', 'groupId': 'BG001'}, {'value': '922', 'groupId': 'BG002'}]}], 'groups': [{'id': 'BG000', 'title': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'id': 'BG001', 'title': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.\n\nDissemination of public health knowledge: Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.'}, {'id': 'BG002', 'title': 'Total', 'description': 'Total of all reporting groups'}], 'measures': [{'title': 'Age, Customized', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'BG000'}, {'value': 'NA', 'groupId': 'BG001'}, {'value': 'NA', 'groupId': 'BG002'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'BG000'}, {'value': '489', 'groupId': 'BG001'}, {'value': '922', 'groupId': 'BG002'}]}], 'classes': [{'title': '18-29 years', 'categories': [{'measurements': [{'value': '103', 'groupId': 'BG000'}, {'value': '92', 'groupId': 'BG001'}, {'value': '195', 'groupId': 'BG002'}]}]}, {'title': '30-39 years', 'categories': [{'measurements': [{'value': '111', 'groupId': 'BG000'}, {'value': '127', 'groupId': 'BG001'}, {'value': '238', 'groupId': 'BG002'}]}]}, {'title': '40-49 years', 'categories': [{'measurements': [{'value': '88', 'groupId': 'BG000'}, {'value': '100', 'groupId': 'BG001'}, {'value': '188', 'groupId': 'BG002'}]}]}, {'title': '50-59 years', 'categories': [{'measurements': [{'value': '88', 'groupId': 'BG000'}, {'value': '116', 'groupId': 'BG001'}, {'value': '204', 'groupId': 'BG002'}]}]}, {'title': '>=60 years', 'categories': [{'measurements': [{'value': '42', 'groupId': 'BG000'}, {'value': '52', 'groupId': 'BG001'}, {'value': '94', 'groupId': 'BG002'}]}]}, {'title': 'Not reported', 'categories': [{'measurements': [{'value': '1', 'groupId': 'BG000'}, {'value': '2', 'groupId': 'BG001'}, {'value': '3', 'groupId': 'BG002'}]}]}], 'paramType': 'NUMBER', 'unitOfMeasure': 'completed surveys', 'denomUnitsSelected': 'completed surveys'}, {'title': 'Sex: Female, Male', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'BG000'}, {'value': 'NA', 'groupId': 'BG001'}, {'value': 'NA', 'groupId': 'BG002'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'BG000'}, {'value': '489', 'groupId': 'BG001'}, {'value': '922', 'groupId': 'BG002'}]}], 'classes': [{'categories': [{'title': 'Female', 'measurements': [{'value': '356', 'groupId': 'BG000'}, {'value': '411', 'groupId': 'BG001'}, {'value': '767', 'groupId': 'BG002'}]}, {'title': 'Male', 'measurements': [{'value': '77', 'groupId': 'BG000'}, {'value': '78', 'groupId': 'BG001'}, {'value': '155', 'groupId': 'BG002'}]}]}], 'paramType': 'COUNT_OF_UNITS', 'unitOfMeasure': 'completed surveys', 'denomUnitsSelected': 'completed surveys'}, {'title': 'Race/Ethnicity, Customized', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'BG000'}, {'value': 'NA', 'groupId': 'BG001'}, {'value': 'NA', 'groupId': 'BG002'}]}, {'units': 'completed surveys', 'counts': [{'value': '0', 'groupId': 'BG000'}, {'value': '0', 'groupId': 'BG001'}, {'value': '0', 'groupId': 'BG002'}]}], 'classes': [{'categories': [{'measurements': [{'value': '0', 'groupId': 'BG002'}]}]}], 'paramType': 'COUNT_OF_UNITS', 'description': 'Race/Ethnicity Not Collected.', 'unitOfMeasure': 'completed surveys', 'denomUnitsSelected': 'completed surveys', 'populationDescription': 'Race/Ethnicity was not collected, therefore the number analyzed of zero is different from the overall number of surveys analyzed for the other measures.'}, {'title': 'Region of Enrollment', 'denoms': [{'units': 'Participants', 'counts': [{'value': 'NA', 'groupId': 'BG000'}, {'value': 'NA', 'groupId': 'BG001'}, {'value': 'NA', 'groupId': 'BG002'}]}, {'units': 'completed surveys', 'counts': [{'value': '433', 'groupId': 'BG000'}, {'value': '489', 'groupId': 'BG001'}, {'value': '922', 'groupId': 'BG002'}]}], 'classes': [{'title': 'United States', 'categories': [{'measurements': [{'value': '433', 'groupId': 'BG000'}, {'value': '489', 'groupId': 'BG001'}, {'value': '922', 'groupId': 'BG002'}]}]}], 'paramType': 'NUMBER', 'unitOfMeasure': 'completed surveys', 'denomUnitsSelected': 'completed surveys'}], 'typeUnitsAnalyzed': 'completed surveys', 'populationDescription': 'The unit of analysis is surveys. In the stepped-wedge design, analyses were conducted on the completed surveys, not unique individuals, since all individual health department employee survey participants were controls at the beginning and crossed over to intervention before the last survey data collection.'}}, 'documentSection': {'largeDocumentModule': {'largeDocs': [{'date': '2021-10-11', 'size': 189116, 'label': 'Study Protocol and Statistical Analysis Plan', 'hasIcf': False, 'hasSap': True, 'filename': 'Prot_SAP_000.pdf', 'typeAbbrev': 'Prot_SAP', 'uploadDate': '2022-12-02T16:09', 'hasProtocol': True}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'RANDOMIZED', 'maskingInfo': {'masking': 'NONE'}, 'primaryPurpose': 'OTHER', 'interventionModel': 'CROSSOVER'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 331}}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2017-07-05', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2023-01', 'completionDateStruct': {'date': '2021-01-21', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2023-01-27', 'studyFirstSubmitDate': '2017-07-06', 'resultsFirstSubmitDate': '2022-11-08', 'studyFirstSubmitQcDate': '2017-07-06', 'lastUpdatePostDateStruct': {'date': '2023-02-10', 'type': 'ACTUAL'}, 'resultsFirstSubmitQcDate': '2023-01-27', 'studyFirstPostDateStruct': {'date': '2017-07-07', 'type': 'ACTUAL'}, 'resultsFirstPostDateStruct': {'date': '2023-02-10', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2020-08-21', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Evidence-based Decision Making (EBDM) Competencies', 'timeFrame': '24 months post baseline', 'description': 'Survey participants were asked to rate the perceived importance of each of 10 skills pertinent to evidence-based decision making on an 11-point ordered scale (possible values 0 not at all important to 10 very important for each skill), and to rate the perceived availability in the agency of each of the same skills from 0-10 (0 not at all available to 10 very available). A skill gap was calculated for each skill as perceived importance minus perceived availability (possible values -10 to +10 for each skill). An overall EBDM skill gap was created by taking the average across all 10 skill gaps (possible values -10 to +10). Higher scores indicate a worse outcome.\n\nSkill items: community assessment; quantifying the issue; prioritization; action planning; adapting interventions; evaluation designs; quantitative evaluation; qualitative evaluation; economic evaluation; and communicating evidence to decision-makers. A definition for each was provided that started with the word "understand".'}, {'measure': 'Evidence-based Intervention Score', 'timeFrame': '24 months post baseline', 'description': 'Self-reported number of evidence-based chronic disease prevention interventions implemented by the local health department from a pre-populated list of 8 evidence-based interventions to prevent diabetes and other chronic diseases (possible score 0 to 8). Higher score indicates a better outcome.'}, {'measure': 'Awareness of Culture Supportive of EBDM', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale items measure personal awareness of opportunities to learn about and apply EBDM among local level chronic disease control public health practitioners. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nThe items were: a) I am provided the time to identify evidence-based programs and practices; b) My direct supervisor recognizes the value of management practices that facilitate evidence-based decision-making; c) My work group/division offers employees opportunities to attend evidence-based-decision making trainings; and d) Top leadership in my agency (e.g., director, assistant directors) recognizes the value of evidence-based decision-making.'}, {'measure': 'Capacity and Expectations for Evidence-based Decision Making (EBDM)', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale items assess perceived supervisory expectations for EBDM use and perceived work unit/division capacity to carry out EBDM. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items (possible scores 1 to 7). Higher scores mean a better outcome.\n\nItems: a) I use EBDMin my work; b) My direct supervisor expects me to use evidence-based decision making; c) My performance is partially evaluated on how well I use evidence-based decision making in my work; d) My work group/division currently has the resources (e.g. staff, facilities, partners) to support application of evidence-based decision making; e) The staff in my work group/division has the necessary skills to carry out evidence-based decision making; f) The majority of my work group/division's external partners support use of EBDM; and g) Top leadership in my agency encourages use of EBDM."}, {'measure': 'Resource Availability', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale items measured perceived work unit's resource availability for evidence-based decision making. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nThe items in the scale were: a) Informational resources (e.g. academic journals, guidelines, and toolkits) are available to my work group/division to promote the use of evidence-based decision making; b) My work group/division engages a diverse external network of partners that share resources to facilitate evidence-based decision making; and c) Stable funding is available for evidence-based decision making."}, {'measure': 'Evaluation Capacity of Work Unit', 'timeFrame': '24 months post baseline', 'description': "Self-report Likert scale of work unit's support of community needs assessment, utilization of evaluation for pre and post program implementation as well as for dissemination purposes. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) My work group/division supports community needs assessments to ensure that evidence-based decision-making approaches continue to meet community needs; b) My work group/division plans for evaluation of interventions prior to implementation; c) My work group/division uses evaluation data to monitor and improve interventions; and d) My work group/division distributes intervention evaluation findings to other organizations that can use our findings."}, {'measure': 'EBDM Climate Cultivation', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale assessing perceived health department culture supportive of EBDM, information sharing and participatory decision making. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) My work group/division has access to evidence-based decision making information that is relevant to community needs; b) When decisions are made within my work group/division, program staff members are asked for input; c) Information is widely shared in my work group/division so that everyone who makes decisions has access to all available knowledge; d) My agency is committed to hiring people with relevant training or experience in public health core disciplines (e.g., epidemiology, health education, environmental health); and e) My agency has a culture that supports the processes necessary for EBDM.'}, {'measure': 'Partnerships to Support EBDM', 'timeFrame': '24 months post baseline', 'description': 'Self-report Likert scale items assess perceived importance of partnering across sectors to share resources and address population health issues. Each item is measured on a 7-point Likert scale from 1 strongly disagree to 7 strongly agree. A summary score was created as an average of the items within the domain. Possible scores 1 to 7. Higher scores mean a better outcome.\n\nItems: a) Our collaborative partnerships have missions that align with my agency; b) It is important to my agency to have partners who share resources (money, staff time, space, materials); c) It is important to my agency to have partners in health care to address population health issues; and d) It is important to my agency to have partners in other sectors (outside of health) to address population health issues'}], 'secondaryOutcomes': [{'measure': 'Inter-agency Connectedness', 'timeFrame': '24 months post baseline', 'description': 'The average number of links per agency is the measure of connectedness with other agencies that is reported here. The measure is from a separate self-report social network survey.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Dissemination research', 'Public health workforce', 'Evidence-based public health', 'Public health accreditation'], 'conditions': ['Organizational Support for Evidence-based Public Health']}, 'referencesModule': {'references': [{'pmid': '29047384', 'type': 'BACKGROUND', 'citation': 'Parks RG, Tabak RG, Allen P, Baker EA, Stamatakis KA, Poehler AR, Yan Y, Chin MH, Harris JK, Dobbins M, Brownson RC. Enhancing evidence-based diabetes and chronic disease control among local health departments: a multi-phase dissemination study with a stepped-wedge cluster randomized trial component. Implement Sci. 2017 Oct 18;12(1):122. doi: 10.1186/s13012-017-0650-4.'}, {'pmid': '35570955', 'type': 'RESULT', 'citation': 'Jacob RR, Parks RG, Allen P, Mazzucca S, Yan Y, Kang S, Dekker D, Brownson RC. How to "Start Small and Just Keep Moving Forward": Mixed Methods Results From a Stepped-Wedge Trial to Support Evidence-Based Processes in Local Health Departments. Front Public Health. 2022 Apr 28;10:853791. doi: 10.3389/fpubh.2022.853791. eCollection 2022.'}], 'seeAlsoLinks': [{'url': 'https://prcstl.wustl.edu/items/aim-local-health/', 'label': 'Click here for more information about this study: Adoption and Implementation of evidence to Mobilize Local Health'}, {'url': 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648488/', 'label': 'Protocol paper'}, {'url': 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096224/', 'label': 'Results paper'}]}, 'descriptionModule': {'briefSummary': 'The purpose of this study is to identify and evaluate dissemination strategies to support the uptake of evidence-based programs and policies (EBPPs) for diabetes prevention and control among local-level public health practitioners. Dissemination strategies such as multi-day in-person training workshops, electronic information exchange modalities, and remote technical assistance are hypothesized to associate with improved access and use of public health evidence and organizational supports for program and policy decision making based on evidence-based public health.', 'detailedDescription': 'Evidence-based public health approaches to prevent and control diabetes and other chronic diseases have been identified in recent decades, and could have a profound effect on diabetes incidence and quality and length of life of those diagnosed. However, barriers to implement approaches continue because of lack of organizational support, limited resources, competing priorities, and limited skill among the public health workforce. The purpose of this study is to determine effective ways to promote the adoption of evidence based public health practice related to diabetes and chronic disease prevention and control among local health departments (LHDs). This stepped-wedge cluster randomized trial aims to evaluate active dissemination strategies on local-level public health practitioners to increase adoption and use of evidence-based programs and policies for diabetes and chronic disease prevention and control among LHDs in Missouri. Twelve LHDs will be recruited and randomly assigned to one of three groups that cross over from usual practice to receive the intervention (dissemination) strategies at 8-month intervals; the intervention duration for groups ranges from 8 to 24 months. LHD staff and the university-based study team are jointly identifying, refining and selecting dissemination strategies. Intervention strategies may include multi-day in-person training workshops, electronic information exchange modalities, and remote technical assistance. Evaluation methods include surveys at baseline and at each 8-month interval, abstraction of LHD chronic disease prevention program plans and progress reports, and social network analysis.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '21 Years', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Local Health Departments (LHDs, cluster) in the state of Missouri and corresponding public health workforce (individuals within cluster); screenings.\n\nExclusion Criteria:\n\n* LHDs that have less than 5 employees working in or supporting diabetes or chronic disease control, which includes program areas of diabetes prevention and management, obesity prevention, physical activity, nutrition, cardiovascular health, and cancer'}, 'identificationModule': {'nctId': 'NCT03211832', 'briefTitle': 'Disseminating Public Health Evidence to Support Prevention and Control of Diabetes Among Local Health Departments', 'organization': {'class': 'OTHER', 'fullName': 'Washington University School of Medicine'}, 'officialTitle': 'Enhancing Evidence-based Diabetes Control Among Local Health Departments', 'orgStudyIdInfo': {'id': '201705026'}, 'secondaryIdInfos': [{'id': '5R01DK109913', 'link': 'https://reporter.nih.gov/quickSearch/5R01DK109913', 'type': 'NIH'}]}, 'armsInterventionsModule': {'armGroups': [{'type': 'NO_INTERVENTION', 'label': 'Control', 'description': 'The control group will conduct usual public health practice.'}, {'type': 'ACTIVE_COMPARATOR', 'label': 'Intervention', 'description': 'Participating local health departments will help develop and choose several dissemination activities they prefer for their local health department to receive. Dissemination activities may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes and chronic disease prevention and control.', 'interventionNames': ['Other: Dissemination of public health knowledge']}], 'interventions': [{'name': 'Dissemination of public health knowledge', 'type': 'OTHER', 'description': 'Participating local health departments will help develop and choose dissemination strategies they prefer for their staff working in and supporting diabetes and chronic disease prevention and control to receive. Dissemination strategies may include multi-day in-person training workshops, electronic information exchange modalities, remote technical assistance, and information on ways to enhance organizational climates favorable to evidence-based diabetes prevention and control.', 'armGroupLabels': ['Intervention']}]}, 'contactsLocationsModule': {'locations': [{'zip': '63130', 'city': 'St Louis', 'state': 'Missouri', 'country': 'United States', 'facility': 'Prevention Research Center, Brown School, Washington University in St. Louis', 'geoPoint': {'lat': 38.62727, 'lon': -90.19789}}], 'overallOfficials': [{'name': 'Ross C Brownson, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, Division of Public Health Sciences, Department of Surgery and Alvin J. Siteman Cancer Center, Washington University School of Medicine'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Washington University School of Medicine', 'class': 'OTHER'}, 'collaborators': [{'name': 'National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)', 'class': 'NIH'}], 'responsibleParty': {'type': 'SPONSOR'}}}}