Evidence map›Paper›PMID 24309664›Full record

ArticleMedical care2016

Measuring Care Continuity: A Comparison of Claims-based Methods.

Craig E Pollack, Peter S Hussey, Robert S Rudin, D Steven Fox, Julie Lai, Eric C Schneider

Abstract read
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Article
  2. Article
  3. Development of a novel GP continuity measurement for practices without personal lists: a two-practice pilot of the modified SLICC.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. The consequences of medicine shortages on healthcare utilization and care fragmentation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  5. Outpatient Care Fragmentation and Patient Satisfaction With Care.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Healthcare utilization and HIV burden among Black communities in Ontario: a matched cohort study.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Exploring the Intensity and Continuity of Hospital Care for Patients With Long Covid: Evidence From an English Urban Healthcare System.Health expectations : an international journal of public participation in health care and health policy · 2026
    Observational
  17. Continuity of Care and Risks of Hospitalization and Mortality in COPD: A Nationwide Cohort Study.International journal of chronic obstructive pulmonary disease · 2026
    Article
  18. Observational
  19. Article
  20. Article

53 more citing papers are in PubMed but not listed here.

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

6 authors.

Craig E Pollack*Johns Hopkins School of Medicine †Johns Hopkins Bloomberg School of Public Health, Baltimore, MD ‡RAND Corporation, Santa Monica, CA §Division of General Medicine and Primary Care, Brigham and Women's Hospital ∥Harvard Medical School ¶Harvard School of Public Health, Boston, MA.
Peter S Hussey
Robert S Rudin
D Steven Fox
Julie Lai
Eric C Schneider

Funding

A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
NCI NIH HHS K07 CA151910
6 · The paper itself

Abstract

backgroundAssessing care continuity is important in evaluating the impact of health care reform and changes to health care delivery. Multiple measures of care continuity have been developed for use with claims data.

objectiveThis study examined whether alternative continuity measures provide distinct assessments of coordination within predefined episodes of care. RESEARCH DESIGN AND SUBJECTS: This was a retrospective cohort study using 2008-2009 claims files for a national 5% sample of beneficiaries with congestive heart failure, chronic obstructive pulmonary disease, and diabetes mellitus. MEASURES: Correlations among 4 measures of care continuity-the Bice-Boxerman Continuity of Care Index, Herfindahl Index, usual provider of care, and Sequential Continuity of Care Index-were derived at the provider- and practice-levels.

resultsAcross the 3 conditions, results on 4 claims-based care coordination measures were highly correlated at the provider-level (Pearson correlation coefficient r=0.87-0.98) and practice-level (r=0.75-0.98). Correlation of the results was also high for the same measures between the provider- and practice-levels (r=0.65-0.92).

conclusionsClaims-based care continuity measures are all highly correlated with one another within episodes of care.

Indexed as

AgedAged, 80 and overDiabetes MellitusFemaleHeart FailureHumansInsurance Claim ReviewMalePatient Care ManagementPulmonary Disease, Chronic ObstructiveRetrospective Studies

Identifiers

PMID24309664
PMCPMC4101051

What OpenQuestion holds

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Registered trials

None linked

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.