SynthesisImplementation science : IS2012
Measuring organizational and individual factors thought to influence the success of quality improvement in primary care: a systematic review of instruments.
Synthesis in Implementation science : IS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of international performance indicators and metrics relevant to UK general practice.BMJ open quality · 2025Pooled it
- Psychometric properties of implementation measures for public health and community settings and mapping of constructs against the Consolidated Framework for Implementation Research: a systematic review.Implementation science : IS · 2016Pooled it
- Measuring team factors thought to influence the success of quality improvement in primary care: a systematic review of instruments.Implementation science : IS · 2013Pooled it
- Organizational contextual factors that predict success of a quality improvement collaborative approach to enhance integrated HIV-tuberculosis services: a sub-study of the Scaling up TB/HIV Integration trial.Implementation science : IS · 2021Trial
- Scoping review of instruments measuring organizational context in implementation studies within healthcare.Health research policy and systems · 2026Review
- Strategies for optimising health system managers' engagement in quality improvement projects: lessons learnt from the COMPAS+ project.BMJ open quality · 2025Article
- Organizational characteristics associated with sustained participation in internal quality improvement: Findings from two waves of a national sample of physician practices in the United States.Social science & medicine (1982) · 2025Article
- The Implementation Process Assessment Tool: translation, contextualization, and psychometric evaluation of a Swedish version in a municipal elderly care context.BMC health services research · 2024Article
- Strategies that facilitate the delivery of exceptionally good patient care in general practice: a qualitative study with patients and primary care professionals.BMC primary care · 2024Article
- Impact of externally facilitated continuous quality improvement cohorts on Advanced Access to support primary healthcare teams: protocol for a quasi-randomized cluster trial.BMC primary care · 2023Article
- Quality management systems in Aboriginal Community Controlled Health Services: a review of the literature.BMJ open quality · 2021Review
- Patient feedback for safety improvement in primary care: results from a feasibility study.BMJ open · 2020Article
- Evaluating implementation and impact of a provincial quality improvement collaborative for the management of chronic diseases in primary care: the COMPAS+ study protocol.BMC family practice · 2020Article
- Assessing improvement capability in healthcare organisations: a qualitative study of healthcare regulatory agencies in the UK.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2018Article
- Conceptualizing and assessing improvement capability: a review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2017Review
- Article
- Combining administrative data feedback, reflection and action planning to engage primary care professionals in quality improvement: qualitative assessment of short term program outcomes.BMC health services research · 2015Article
- One size does not fit all: a qualitative content analysis of the importance of existing quality improvement capacity in the implementation of Releasing Time to Care: the Productive Ward™ in Saskatchewan, Canada.BMC health services research · 2014Article
- A qualitative study of contextual factors' impact on measures to reduce surgery cancellations.BMC health services research · 2014Article
- How can we recognize continuous quality improvement?International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundContinuous quality improvement (CQI) methods are widely used in healthcare; however, the effectiveness of the methods is variable, and evidence about the extent to which contextual and other factors modify effects is limited. Investigating the relationship between these factors and CQI outcomes poses challenges for those evaluating CQI, among the most complex of which relate to the measurement of modifying factors. We aimed to provide guidance to support the selection of measurement instruments by systematically collating, categorising, and reviewing quantitative self-report instruments.
methodsDATA SOURCES: We searched MEDLINE, PsycINFO, and Health and Psychosocial Instruments, reference lists of systematic reviews, and citations and references of the main report of instruments. STUDY SELECTION: The scope of the review was determined by a conceptual framework developed to capture factors relevant to evaluating CQI in primary care (the InQuIRe framework). Papers reporting development or use of an instrument measuring a construct encompassed by the framework were included. Data extracted included instrument purpose; theoretical basis, constructs measured and definitions; development methods and assessment of measurement properties. Analysis and synthesis: We used qualitative analysis of instrument content and our initial framework to develop a taxonomy for summarising and comparing instruments. Instrument content was categorised using the taxonomy, illustrating coverage of the InQuIRe framework. Methods of development and evidence of measurement properties were reviewed for instruments with potential for use in primary care.
resultsWe identified 186 potentially relevant instruments, 152 of which were analysed to develop the taxonomy. Eighty-four instruments measured constructs relevant to primary care, with content measuring CQI implementation and use (19 instruments), organizational context (51 instruments), and individual factors (21 instruments). Forty-one instruments were included for full review. Development methods were often pragmatic, rather than systematic and theory-based, and evidence supporting measurement properties was limited.
conclusionsMany instruments are available for evaluating CQI, but most require further use and testing to establish their measurement properties. Further development and use of these measures in evaluations should increase the contribution made by individual studies to our understanding of CQI and enhance our ability to synthesise evidence for informing policy and practice.
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