Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “Quality of health care”
Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary, and secondary care and through an online forum
<p>The purpose of the study was to evaluate the feasibility of recruiting participants diagnosed with atrial fibrillation (AF) taking oral anticoagulation therapies (OACs) and recently experiencing a bleed to collect health-related quality of life (HRQoL) information.</p> <p><strong>Design</strong></p> <p>Observational feasibility study. The study aimed to determine the feasibility of recruiting participants with minor and major bleeds, the most appropriate route for recruitment and the appropriateness of the Patient Reported Outcome Measures (PROMs) selected for collecting HRQoL information in AF patients, and the preferred format of the surveys.</p> <p><strong>Setting</strong></p> <p>Primary care, secondary care, and via an online patient forum.</p> <p><strong>Participants</strong></p> <p>The study population was adult patients (≥ 18) with Atrial Fibrillation (AF) taking oral anticoagulation therapies (OATs) who had experienced a recent major or minor bleed within the last four weeks.</p> <p><strong>Primary and Secondary outcome measures</strong></p> <p>Primary outcome:</p> <p>Patient reported outcome measures (PROMs): EuroQol 5 dimensions-5 levels (EQ-5D-5L); Perception of anticoagulant treatment questionnaire, part 2 only (PACT-Q, part 2); Atrial fibrillation effect on quality of life (AFEQT)</p> <p>Secondary outcomes:</p> <p>Location of bleed; bleed severity; current treatment; patient perceptions of HRQoLin relation to bleeding events.</p> <p><strong>Results</strong></p> <p>We received initial expressions of interest from 103 participants. We subsequently recruited 32 participants to the study- 14 from primary care and 18 through the AF forum. No participants were recruited through secondary care. Despite 32 participants consenting, only 26 initial surveys were completed. We received follow-up surveys from 11 participants (8 primary care and 3 AF forum). COVID-19 had a major impact on the study. </p> <p><strong>Conclusions</strong></p> <p>Primary care was the most successful route for recruitment. Most participants recruited to the study experienced a minor bleed. Further ways to recruit in secondary care should be explored, especially to capture more serious bleeds. </p> <p><strong>Registration</strong></p> <p>The study was adopted onto the NIHR Portfolio (I.D. #47771) and registered with www.ClinicalTrials.gov (#NCT04921176) in February 2021.</p> <p>Dataset contains all anonymised data for the participants who completed the survey including demographics, details of bleeds, co-morbidities and completed patient reported outcomes</p>
Assessing the Impact of an Intervention to Improve the Quality of Emergency Obstetric Care on Maternal Health in Nigeria
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p> </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites. The package consists of training in use of evidence-based clinical protocols on postpartum haemorrhage (PPH), preeclampsia/eclampsia and obstructed labour, audit and feedback, reminders, commodity supply monitoring and replenishments and patients’ education. </p> <p> </p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from the formative audit phase of the project.</p> <p> </p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria.</p>
Quality of care and performance indicators of mental health supported accommodation services in England
<p class="MsoNormal"><span>This dataset includes data from Mental Health supporting accommodation services in England. It includes information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript published in Plos One: "Almeda, N., García-Alonso, C. R., Killaspy, H., Gutiérrez-Colosía, M. R., & Salvador-Carulla, L. (2022). The critical factor: The role of quality in the performance of supported accommodation services for complex mental illness in England. Plos One, 17(3), e0265319. https://doi.org/10.1371/journal.pone.0265319"</span></p> <p class="MsoNormal"><span>The research associated with the present data focused on developing an analytical process for assessing the performance of the Mental health (MH) supporting accommodation services from 14 different regions of England considering the effect of the quality-of-care indicators in the performance. For doing so every service was classified in Residential Care (move on and non-move on oriented), Supported Housing or Floating Outreach. Then, information about the quality-of-care was collected from each domain of the instrument QuIRC-SA. Finally, a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence was used.</span></p> <p class="MsoNormal"><span>The main results of the analyses pointed out that the incorporation of quality domains as variables (outputs) in DEA had a neutral-positive or positive global impact on the performance of MH-supported accommodation services.</span></p>
Evaluating Evidence-Based Quality Improvement of Comprehensive Women's Health Care Implementation in Low-Performing VAs
ClinicalTrials.gov study NCT03238417. IPD Sharing: NO. Countries: 1. Publications: 1.
An Observational Study to Evaluate Physical Activity, Bleeding Incidence and Health Related Quality of Life, in Participants With Haemophilia A Without Inhibitors Receiving Standard of Care Treatment
ClinicalTrials.gov study NCT04165135. IPD Sharing: NO. Countries: 1. Publications: 1.
Digital Care Chains in Health Care - a Study of Care Consumption, Care Quality, Work Environment and Well-being
ClinicalTrials.gov study NCT05211466. IPD Sharing: NO. Countries: 1. Publications: 8.
A Quality Improvement Process to Support Delivery of Cardiovascular Care in Community Mental Health Organizations
ClinicalTrials.gov study NCT04696653. IPD Sharing: NO. Countries: 1. Publications: 2.
Quality of care and performance indicators of mental health supported accommodation services in England
Open the record for dataset details and reuse information.
Long-term health-related quality of life, healthcare utilisation and back-to-work activities in Intensive Care Unit survivors: prospective confirmatory study from the Frisian Aftercare Cohort
<p>More substantial information on recovery after Intensive Care Unit (ICU) admission is urgently needed. In a previous retrospective study, the proportion of non-recovery patients was 44%. The aim of this prospective follow-up study was to evaluate changes Health-Related Quality of Life (HRQoL) in the first year after ICU-admission. Long-stay adult ICU-patients (≥ 48 hours) were included. HRQoL was evaluated with the Dutch translation of the RAND-36 item Health Survey (RAND-36) at baseline via proxy measurement, and at three, six, and twelve months after ICU admission. Subsequently, the relation between physical functioning, healthcare utilisation, and work activities was explored. </p>
Perceived quality of care among households ever enrolled in a community-based health insurance scheme in two districts of northeast Ethiopia: A community-based, cross-sectional study
<p class="MsoNormal"><strong><span>Objectives: </span></strong><span>The purpose of this study was to examine how clients perceived the quality of health care they received and to identify associated factors both at the individual and facility levels.</span></p> <p class="MsoNormal"><strong><span>Design: </span></strong><span>A community-based, cross-sectional study.<span> </span></span></p> <p class="MsoNormal"><strong><span>Setting:</span></strong><span> Two rural districts of northeast Ethiopia</span><span>, Tehulederie and Kallu.</span></p> <p class="MsoNormal"><strong><span>Participants:</span></strong><span> 1081 rural households who had ever been enrolled in community-based health insurance and visited a health center at least once in the previous 12 months.<span> </span>Furthermore, 194 health care providers participated in the study to provide cluster-level data. <a name="_Hlk84940584"></a></span></p> <p class="MsoNormal"><span><strong><span>Outcome measures</span></strong></span><span><span>: The outcome variable of interest was the perceived quality of care, which was measured using a 17-item scale. </span></span><span>Respondents were asked to rate the degree to which they agreed on 5-point response items relating to their experiences with health care in the outpatient departments of nearby health centers. A multilevel linear regression analysis was used to identify predictors of perceived quality of care. </span></p> <p class="MsoNormal"><strong><span>Results:</span></strong><span> The mean perceived quality of care was 70.28 (SD=8.39). <a name="_Hlk85270466"></a>Five dimensions of perceived quality of care were extracted from the factor analysis, with the patient-provider communication dimension having the highest <span>mean score (M=77.84, SD=10.12), and information provision having the lowest (M=64.67, SD=13.87). Wealth status, current insurance status, perceived health status, presence of chronic illness, and time to a recent health center visit </span></span><span><span>were individual level variables that showed a significant association with the perceived quality of care. At the cluster level, the work experience of health care providers, patient volume, and an interaction term between patient volume and staff job satisfaction also showed a significant association</span><span>.</span></span><span><span> <span> </span></span></span></p> <p class="MsoNormal"><strong><span>Conclusions:</span></strong><span> Much work remains to improve the quality of care, especially on information provision and access to care quality dimensions. A range of individual and cluster-level characteristics influence the perceived quality of care. For a better quality of care, it is vital to optimize the patient-provider ratio and enhance staff job satisfaction.</span></p>
Modeling Quality of Care in Home Health Nurse-to-Patient Assignment Problem
<p>This file is for the multi-period home health care nurse assignment problem.</p> <p>The parameters are explained in the comment line in the data file.</p> <p>The users can refer to the "readme.txt" to get to know how to use these files.</p>
Effects of Two Anti-HIV Drug Regimens on Quality of Life and Health Care Use Among SMART Study Participants
ClinicalTrials.gov study NCT00385632. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Study to Improve Quality of Care and Patient Health in the Field of Cardiovascular Risk Factors in General Practice
ClinicalTrials.gov study NCT00348855. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Improving Pediatric Safety and Quality With Health Care Information Technology
ClinicalTrials.gov study NCT00134823. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Prospective Study to Collect High-Quality Documentation of Bleeds, Health-Related Quality of Life (HRQoL), and Safety Outcomes in Patients With Hemophilia A Treated With Standard-of-Care Treatment
ClinicalTrials.gov study NCT02476942. IPD Sharing: Not stated. Countries: 12. Publications: 1.
Evaluation of Quality of Care - Nurse Allied Health Clinic Programme, HA
ClinicalTrials.gov study NCT02307929. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Practical Health Co-operation - The Impact of a Referral Template on Quality of Health Care
ClinicalTrials.gov study NCT01470963. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Implementation of a Health System Intervention to Improve Quality of Cancer Care for Rural Patients
ClinicalTrials.gov study NCT05645328. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of a Daily Oral Care Lozenge on Oral Health and Quality of Life in Older Adults
ClinicalTrials.gov study NCT03693027. IPD Sharing: UNDECIDED. Countries: 1. Publications: 27.
The Effect of Health Promotion Training on Life Qualities and Self-Care Powers in Stroke Patients
ClinicalTrials.gov study NCT05484843. IPD Sharing: NO. Countries: 1. Publications: 3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.