Evidence map›Paper›PMID 33197047›Full record

ArticleHealth services research2021

Practice-site-level measures of primary care comprehensiveness and their associations with patient outcomes.

Ann S O'Malley, Eugene C Rich, Lisa Shang, Tyler Rose, Arkadipta Ghosh, Dmitriy Poznyak, Deborah Peikes, Matt Niedzwiecki

Abstract read
In one paragraph

Article in Health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Ann S O'MalleyMathematica Policy Research, Washington, District of Columbia, USA.ORCID 0000-0002-0454-9602
Eugene C RichMathematica Policy Research, Washington, District of Columbia, USA.
Lisa ShangMathematica Policy Research, Windsor Mill, Maryland, USA.
Tyler RoseMathematica Policy Research, Ann Arbor, Michigan, USA.
Arkadipta GhoshMathematica Policy Research, Princeton, New Jersey, USA.
Dmitriy PoznyakMathematica Policy Research, Princeton, New Jersey, USA.ORCID 0000-0002-9610-8424
Deborah PeikesMathematica Policy Research, Princeton, New Jersey, USA.
Matt NiedzwieckiMathematica Policy Research, Oakland, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop two practice-site-level measures of comprehensiveness and examine their associations with patient outcomes, and how their performance differs from physician-level measures. DATA SOURCES: Medicare fee-for-service claims. STUDY

designWe calculated practice-site-level comprehensiveness measures (new problem management and involvement in patient conditions) across 5286 primary care physicians (PCPs) at 1339 practices in the Comprehensive Primary Care initiative evaluation in 2013. We assessed their associations with practices' attributed beneficiaries' 2014 total Medicare expenditures, hospitalization rates, ED visit rates. We also examined variation in PCPs' comprehensiveness across PCPs within practices versus between primary care practices. Finally, we compared associations of practice-site and PCP-level measures with outcomes. PRINCIPAL

findingsThe measures had good variation across primary care practices, strong validity, and high reliability. Receiving primary care from a practice at the 75th versus 25th percentile on the involvement in patient conditions measure was associated with $21.93 (2.8%) lower total Medicare expenditures per beneficiary per month (P < .01). Receiving primary care from a practice at the 75th versus 25th percentile on the new problem management measure was associated with $14.77 (1.9%) lower total Medicare expenditures per beneficiary per month (P < .05); 8.84 (3.0%) fewer hospitalizations (P < .001), and 21.27 (3.1%) fewer ED visits per thousand beneficiaries per year (P < .01). PCP comprehensiveness varied more within than between practices.

conclusionsMore comprehensive primary care practices had lower Medicare FFS expenditures, hospitalization, and ED visit rates. Both PCP and practice-site level comprehensiveness measures had strong construct and predictive validity; PCP-level measures were more precise.

Indexed as

AdultAgedAged, 80 and overAge FactorsComprehensive Health CareFee-for-Service PlansFemaleHealth Care SurveysHumansMaleMedicareMiddle AgedPatient Reported Outcome MeasuresPhysiciansPrimary Health CareReproducibility of Resultscomprehensivenesshealth services utilization and costsMedicareprimary health carequality measures

Identifiers

PMID33197047
PMCPMC8143682

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.