Evidence map›Paper›PMID 24678983›Full record

Trial reportBMC family practice2014

Alignment of patient and primary care practice member perspectives of chronic illness care: a cross-sectional analysis.

Polly H Noël, Michael L Parchman, Ray F Palmer, Raquel L Romero, Luci K Leykum, Holly J Lanham, John E Zeber, Krista W Bowers

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC family practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00482768 (Improving Risk Factors for Diabetes Complications in Primary Care), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT00482768 nacompletednot on this map

Improving Risk Factors for Diabetes Complications in Primary Care

TypeinterventionalSponsorThe University of Texas Health Science Center at San AntonioRan2007 to 2013Enrolled2,493ConditionsType 2 DiabetesArmsPractice Facilitation
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
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  8. Review
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  11. Development and psychometric evaluation of a measure to evaluate the quality of integrated care: the Patient Assessment of Integrated Elderly Care.Health expectations : an international journal of public participation in health care and health policy · 2016
    Article
  12. Article
  13. Patient Experience in an Era of Primary Care Transformation: Revisiting the PACIC.European journal for person centered healthcare · 2016
    Article
  14. Article
  15. 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.

Polly H NoëlSouth Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX 78229, USA. noelp@uthscsa.edu.
Michael L Parchman
Ray F Palmer
Raquel L Romero
Luci K Leykum
Holly J Lanham
John E Zeber
Krista W Bowers

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR001120 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2013 to 2017
$16.5M
Institute for Integration of Medicine & Science: A Partnership to Improve HealthKL2TR001118 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, DOUGHERTY, DONALD M · 2013 to 2017
$3.4M
Improving Risk Factors for Diabetes Complications in Primary CareR18DK075692 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI NOEL, POLLY H · 2007 to 2011
$2.5M
NCATS NIH HHS KL2 TR001118NCATS NIH HHS UL1 TR001120NIDDK NIH HHS R18 DK075692NIDDK NIH HHS R18DK075692
6 · The paper itself

Abstract

backgroundLittle is known as to whether primary care teams' perceptions of how well they have implemented the Chronic Care Model (CCM) corresponds with their patients' own experience of chronic illness care. We examined the extent to which practice members' perceptions of how well they organized to deliver care consistent with the CCM were associated with their patients' perceptions of the chronic illness care they have received.

methodsAnalysis of baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM in small, community-based primary care practices. All practice "members" (i.e., physician providers, non-physician providers, and staff) completed the Assessment of Chronic Illness Care (ACIC) survey and adult patients with 1 or more chronic illnesses completed the Patient Assessment of Chronic Illness Care (PACIC) questionnaire.

resultsTwo sets of hierarchical linear regression models accounting for nesting of practice members (N = 283) and patients (N = 1,769) within 39 practices assessed the association between practice member perspectives of CCM implementation (ACIC scores) and patients' perspectives of CCM (PACIC). ACIC summary score was not significantly associated with PACIC summary score or most of PACIC subscale scores, but four of the ACIC subscales [Self-management Support (p < 0.05); Community Linkages (p < 0.02), Delivery System Design (p < 0.02), and Organizational Support (p < 0.02)] were consistently associated with PACIC summary score and the majority of PACIC subscale scores after controlling for patient characteristics. The magnitude of the coefficients, however, indicates that the level of association is weak.

conclusionsThe ACIC and PACIC scales appear to provide complementary and relatively unique assessments of how well clinical services are aligned with the CCM. Our findings underscore the importance of assessing both patient and practice member perspectives when evaluating quality of chronic illness care.

trial registrationNCT00482768.

Indexed as

Outcome Assessment, Health CareAdolescentAdultAgedAged, 80 and overChronic DiseaseCluster AnalysisCross-Sectional StudiesFemaleHealth Care SurveysHealth Status IndicatorsHumansLinear ModelsMaleMedical StaffMiddle Aged

Identifiers

PMID24678983
PMCPMC3974922

What OpenQuestion holds

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LicenceCC BY
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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.