Evidence map›Paper›PMID 17116118›Full record

ArticleHealth services research2006

Can the quality of care in family practice be measured using administrative data?

Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, Dan Chateau

Abstract read
In one paragraph

Article in Health services research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  11. Variation in medication use in cancer patients at the end of life: a cross-sectional analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2013
    Article
  12. Medical guidelines, physician density, and quality of care: evidence from German SHARE data.The European journal of health economics : HEPAC : health economics in prevention and care · 2012
    Article
  13. Article
  14. Article
  15. Article
  16. Comprehensiveness of care by family physicians in Edmonton.Advances in medical education and practice · 2011
    Article
  17. Article
  18. Quality indicators for cardiovascular primary care.The Canadian journal of cardiology · 2007
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alan KatzManitoba Centre for Health Policy, Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, R3E 3P5, Canada.
Ruth-Ann Soodeen
Bogdan Bogdanovic
Carolyn De Coster
Dan Chateau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the feasibility of using administrative data to develop process indicators for measuring quality in primary care. DATA SOURCES/STUDY

settingThe Population Health Research Data Repository (Repository) housed at the Manitoba Centre for Health Policy which includes physician claims, hospital discharge abstracts, pharmaceutical use (Drug Program Information Network (DPIN)), and the Manitoba Immunization Monitoring Program (MIMS) for all residents of Manitoba, Canada who used the health care system during the 2001/02 fiscal year. Family physicians were identified from the Physician Resource Database. Indicators were developed based on a literature review and focus group validation. DATA COLLECTION/EXTRACTION

methodsData files were extracted from administrative data available in the Repository. We extracted data based on the ICD-9-CM codes and ATC-class drugs prescribed and then linked them to the Physician Resource Database. Physician practices were defined by allocating patients to their most responsible physician. Every family physician in Manitoba that met the inclusion criteria (having either 5 or 10 eligible patients depending on the indicator) was 'scored' on each indicator. Physicians were then grouped according to the proportion of the patients allocated to their practice who received the recommended care for the specific indicator. PRINCIPAL

findingsUsing administrative health data we were able to develop and measure eight indicators of quality of care covering both preventive care services and chronic disease management. The number of eligible physicians and patients varied for each indicator as did the percent of patients with recommended care, per physician. For example, the childhood immunization indicator included 544 physicians who, on average, provided immunization for 65 percent of their patients.

conclusionsQuality of care provided by family physicians can be measured using administrative data. Despite the limitations addressed in this paper, this work establishes a practical methodology to measure quality of care provided by family physicians that can be used for quality improvement initiatives.

Indexed as

Quality Indicators, Health CareData CollectionFamily PracticeFeasibility StudiesFemaleFocus GroupsHealth PolicyHealth Services ResearchHumansMaleManitobaPractice Patterns, Physicians'

Identifiers

PMID17116118
PMCPMC1955305

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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.