Evidence map›Paper›PMID 33460075›Full record

ArticleHealth services research2020

Development and psychometric assessment of a survey to measure specialty care coordination as experienced by primary care providers.

Varsha G Vimalananda, Mark Meterko, Shirley Qian, Jolie B Wormwood, Amanda Solch Msw, Benjamin Graeme Fincke

Abstract read
In one paragraph

Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
    Pooled it
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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.

Varsha G VimalanandaCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.ORCID 0000-0003-0738-672X
Mark MeterkoVHA Office of Reporting, Analytics, Performance, Improvement and Deployment (RAPID - 10EA), Field-Based at the Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.
Shirley QianCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.
Jolie B WormwoodCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.
Amanda Solch MswCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.
Benjamin Graeme FinckeCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts, USA.

Funding

HSRD VA IK2 HX002137
6 · The paper itself

Abstract

objectiveTo assess the psychometric properties and construct validity of a survey of primary care providers' (PCPs') experience of specialty care coordination, which is a counterpart to our existing survey ("CSC-Specialist") that measures specialists' experience of specialty care coordination. DATA SOURCES: We surveyed PCPs from Veterans Health Administration medical centers and community-based outpatient clinics nationwide (N = 1576) in April 2018. STUDY

designWe developed candidate items through literature review, existing surveys, PCP interviews, and expert opinion. We used exploratory and confirmatory factor analysis to develop scales and multivariable linear regression to determine their association with PCPs' overall experience of coordination. DATA COLLECTION: The online survey included 23 candidate scale items about specialty care coordination and a single item asking respondents to rate their overall experience of specialty care coordination on a 0-10 scale. All VA PCPs were eligible. We sent survey invitations to PCPs following local Section Chiefs' email introduction (N = 926) and by directly emailing two random samples (N = 400 and N = 6653), overall response rate across the three nonoverlapping samples = 24 percent. PRINCIPAL

findingsAnalyses identified 20 items forming 6 scales with strong psychometric properties and predictive power for overall coordination. Two scales are identical to CSC-Specialist scales: "Communication" (k = 3, α = 0.87) and "Data Transfer" (k = 2, α = 0.92); one is similar: "Relationships and Collaboration" (k = 6, α = 0.90). The three remaining scales address the PCP's unique perspective: "Role Clarity" (k = 3, α = 0.85), "Role Agreement" (k = 3, α = 0.75), and "Making Referrals" (k = 3, α = 0.75). The six scales together explained 67 percent of the variance in PCPs' overall coordination experience with specialists.

conclusionsThe Coordination of Specialty Care-Primary Care Provider Survey (CSC-PCP) is a novel 20-item survey that can be used in quality improvement or health services research, alone or in combination with the CSC-Specialist, to evaluate coordination of care as experienced by either or both participants.

Indexed as

Attitude of Health PersonnelSpecializationAdultCommunicationContinuity of Patient CareFactor Analysis, StatisticalFemaleHealth Services ResearchHumansMaleMiddle AgedPrimary Health CarePsychometricsReferral and ConsultationSurveys and QuestionnairesUnited Statesconsultationcoordinated careprimary carepsychometricsspecialty caresurvey research

Identifiers

PMID33460075
PMCPMC7518815

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Registered trials

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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.