Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D000086382', 'term': 'COVID-19'}], 'ancestors': [{'id': 'D011024', 'term': 'Pneumonia, Viral'}, {'id': 'D011014', 'term': 'Pneumonia'}, {'id': 'D012141', 'term': 'Respiratory Tract Infections'}, {'id': 'D007239', 'term': 'Infections'}, {'id': 'D014777', 'term': 'Virus Diseases'}, {'id': 'D018352', 'term': 'Coronavirus Infections'}, {'id': 'D003333', 'term': 'Coronaviridae Infections'}, {'id': 'D030341', 'term': 'Nidovirales Infections'}, {'id': 'D012327', 'term': 'RNA Virus Infections'}, {'id': 'D008171', 'term': 'Lung Diseases'}, {'id': 'D012140', 'term': 'Respiratory Tract Diseases'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 0}, 'patientRegistry': False}, 'statusModule': {'whyStopped': 'Decline in Covid Cases (not feasible to recruit)', 'overallStatus': 'WITHDRAWN', 'startDateStruct': {'date': '2021-11-30', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2024-04', 'completionDateStruct': {'date': '2024-04-08', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2024-04-24', 'studyFirstSubmitDate': '2022-03-29', 'studyFirstSubmitQcDate': '2022-03-29', 'lastUpdatePostDateStruct': {'date': '2024-04-25', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2022-03-31', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2024-04-08', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Step count', 'timeFrame': 'up to 1 year', 'description': 'step count recorded from Fitbit devices'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['monitoring, ambulatory', 'vital signs', 'remote monitoring'], 'conditions': ['SARS CoV 2 Infection']}, 'descriptionModule': {'briefSummary': 'Following the success of pilot data trialling a virtual community-based remote monitoring model, using Bluetooth enabled pulse oximeters, which demonstrated a saving of 300 bed spaces over a three week period,9 a nationwide expansion is set to be implemented through NHS Digital. Participants who were on the virtual wards approximately 12 weeks after their admission and those referred to long-COVID outpatient clinics will be approached.\n\nThere is a particular lack of understanding as to whether post-COVID syndrome constitutes a singular disease process. It has been suggested that the post-COVID syndrome may be characterised into either an acute or chronic subtype, depending on whether symptoms extend beyond 12 weeks following initial diagnosis.7,10 However, it is not currently understood as to whether chronic post-COVID is either an extension of acute post-COVID or is a separate disease subtype that carries a distinct risk profile.\n\nHowever, there remains a paucity in the literature depicting the recovery experience, risk factors for the development of post-COVID syndrome, management strategies, and qualitative experiences. This study aims to address these gaps'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': '•Discharged from hospital with a RT-PCR SAR-CoV-2 positive swab result.', 'eligibilityCriteria': 'INCLUSION CRITERIA\n\n* Aged 18 years or over.\n* Able to provide written consent.\n\nEXCLUSION CRITERIA\n\n* Any participants that withdraw their consent.\n* Any form of psychiatric disorder or a condition that, in the opinion of the investigator, may hinder communication with the research team.\n* Inability to cooperate or communicate with the research team.'}, 'identificationModule': {'nctId': 'NCT05302960', 'acronym': 'OVER-COVID', 'briefTitle': 'Recovering From COVID-19', 'organization': {'class': 'OTHER', 'fullName': 'Imperial College London'}, 'officialTitle': 'Recovering From COVID-19: Community-based Remote Monitoring in COVID-19 (SARS-CoV 2) Cases: The OVER-COVID Study', 'orgStudyIdInfo': {'id': '21IC6755'}}, 'armsInterventionsModule': {'interventions': [{'name': 'Fitbit', 'type': 'DEVICE', 'description': 'The use of Fitbit sensors to see if activity levels can be improved to track recovery from COVID'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Imperial College London', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}