Evidence map›Paper›PMID 25060655›Full record

ArticleJournal of general internal medicine2014

Provider collaboration: cohesion, constellations, and shared patients.

Kenneth D Mandl, Karen L Olson, Daniel Mines, Chunfu Liu, Fang Tian

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
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  12. Data-driven modeling of diabetes care teams using social network analysis.Journal of the American Medical Informatics Association : JAMIA · 2019
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  14. Evaluating Breast Cancer Care Coordination at a Rural National Cancer Institute Comprehensive Cancer Center Using Network Analysis and Geospatial Methods.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
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  19. Continuity of Medication Management among Adults with Schizophrenia and Comorbid Cardiometabolic Conditions.Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kenneth D MandlBoston Children's Hospital Informatics Program, 300 Longwood Avenue, Boston, MA, 02115, USA, Kenneth_Mandl@Harvard.edu.
Karen L Olson
Daniel Mines
Chunfu Liu
Fang Tian

Funding

Epidemiology of Care Teams: Network Analysis of Providers and Shared PatientsR21GM107645 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2013 to 2014
$496k
Evolving Clinical Information Libraries: Contextualizing Evidence Based MedicineG08LM009778 · NLM · HARVARD MEDICAL SCHOOL · PI MANDL, KENNETH D. · 2008 to 2010
$356k
NIGMS NIH HHS R21 GM107645NIGMS NIH HHS R21GM107645NLM NIH HHS G08 LM009778NLM NIH HHS G08LM009778
6 · The paper itself

Abstract

backgroundThere is a natural assumption that quality and efficiency are optimized when providers consistently work together and share patients. Diversity in composition and recurrence of groups that provide face-to-face care to the same patients has not previously been studied.

objectiveClaims data enable identification of the constellation of providers caring for a single patient. To indirectly measure teamwork and provider collaboration, we measure recurrence of provider constellations and cohesion among providers.

designRetrospective analysis of commercial healthcare claims from a single insurer.

participantsPatients with claims for office visits and their outpatient providers. To maximize capture of provider panels, the cohort was drawn from the four regions with the highest plan coverage. Regional outpatient provider networks were constructed with providers as nodes and number of shared patients as links. MAIN MEASURES: Measures of cohesion and stability of provider constellations derived from the networks of providers to quantify patient sharing.

resultsFor 10,325 providers and their 521,145 patients, there were 2,641,933 collaborative provider pairs sharing at least one patient. Fifty-four percent only shared a single patient, and 19 % shared two. Of 15,449,835 unique collaborative triads, 92 % shared one patient, 5 % shared two, and 0.2 % shared ten or more. Patient constellations had a median of four providers. Any precise constellation recurred rarely-89 % with exactly two providers shared just one patient and only 4 % shared over two; 97 % of constellations with exactly three providers shared just one patient. Four percent of constellations with 2+ providers were not at all cohesive, sharing only the hub patient. In the remaining constellations, a median of 93 % of provider pairs shared at least one additional patient beyond the hub patient.

conclusionStunning variability in the constellations of providers caring for patients may challenge underlying assumptions about the current state of teamwork in healthcare.

Indexed as

Cooperative BehaviorAccountable Care OrganizationsAdultAgedDelivery of Health Care, IntegratedFemaleHumansMaleMiddle AgedOffice VisitsPatient Care TeamRetrospective StudiesUnited StatesYoung Adult

Identifiers

PMID25060655
PMCPMC4238195

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.