ArticleImplementation science : IS2009
Improving the delivery of care for patients with diabetes through understanding optimised team work and organisation in primary care.
Article in Implementation science : IS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Identification, summary and comparison of tools used to measure organizational attributes associated with chronic disease management within primary care settings.Journal of evaluation in clinical practice · 2014Pooled it
- Improving Diabetes care through Examining, Advising, and prescribing (IDEA): protocol for a theory-based cluster randomised controlled trial of a multiple behaviour change intervention aimed at primary healthcare professionals.Implementation science : IS · 2014Trial
- Staff perceptions of community health centre team function in Ontario.Canadian family physician Medecin de famille canadien · 2017Article
- Planning to be routine: habit as a mediator of the planning-behaviour relationship in healthcare professionals.Implementation science : IS · 2017Observational
- Theory-based predictors of multiple clinician behaviors in the management of diabetes.Journal of behavioral medicine · 2014Article
- Conditions for production of interdisciplinary teamwork outcomes in oncology teams: protocol for a realist evaluation.Implementation science : IS · 2014Article
- Explaining clinical behaviors using multiple theoretical models.Implementation science : IS · 2012Article
- Diabetes care provision in UK primary care practices.PloS one · 2012Article
- Instrument development, data collection, and characteristics of practices, staff, and measures in the Improving Quality of Care in Diabetes (iQuaD) Study.Implementation science : IS · 2011Article
- Engagement of groups in family medicine board maintenance of certification.Journal of the American Board of Family Medicine : JABFMArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundType 2 diabetes is an increasingly prevalent chronic illness and is an important cause of avoidable mortality. Patients are managed by the integrated activities of clinical and non-clinical members of the primary care team. Studies of the quality of care for patients with diabetes suggest less than optimum care in a number of areas.
aimThe aim of this study is to improve the quality of care for patients with diabetes cared for in primary care in the UK by identifying individual, team, and organisational factors that predict the implementation of best practice.
designParticipants will be clinical and non-clinical staff within 100 general practices sampled from practices who are members of the MRC General Practice Research Framework. Self-completion questionnaires will be developed to measure the attributes of individual health care professionals, primary care teams (including both clinical and non-clinical staff), and their organisation in primary care. Questionnaires will be administered using postal survey methods. A range of validated theories will be used as a framework for the questionnaire instruments. Data relating to a range of dimensions of the organisational structure of primary care will be collected via a telephone interview at each practice using a structured interview schedule. We will also collect data relating to the processes of care, markers of biochemical control, and relevant indicator scores from the quality and outcomes framework (QOF). Process data (as a proxy indicator of clinical behaviours) will be collected from practice databases and via a postal questionnaire survey of a random selection of patients from each practice. Levels of biochemical control will be extracted from practice databases. A series of analyses will be conducted to relate the individual, team, and organisational data to the process, control, and QOF data to identify configurations associated with high quality care. STUDY REGISTRATION: UKCRN ref:DRN120 (ICPD).
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.