Evidence map›Paper›PMID 28836996›Full record

ArticleImplementation science : IS2017

Random or predictable?: Adoption patterns of chronic care management practices in physician organizations.

Isomi M Miake-Lye, Emmeline Chuang, Hector P Rodriguez, Gerald F Kominski, Elizabeth M Yano, Stephen M Shortell

Abstract read
In one paragraph

Article in Implementation science : IS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Isomi M Miake-LyeDepartment of Health Policy and Management, UCLA Jonathan and Karin Fielding School of Public Health, 640 Charles E. Young Drive South, Los Angeles, CA, 90024, USA. imiakelye@g.ucla.edu.
Emmeline ChuangDepartment of Health Policy and Management, UCLA Jonathan and Karin Fielding School of Public Health, 640 Charles E. Young Drive South, Los Angeles, CA, 90024, USA.
Hector P RodriguezDepartment of Health Policy and Management, UC-Berkeley School of Public Health, 50 University Hall, Berkeley, CA, 94720, USA.
Gerald F KominskiDepartment of Health Policy and Management, UCLA Jonathan and Karin Fielding School of Public Health, 640 Charles E. Young Drive South, Los Angeles, CA, 90024, USA.
Elizabeth M YanoDepartment of Health Policy and Management, UCLA Jonathan and Karin Fielding School of Public Health, 640 Charles E. Young Drive South, Los Angeles, CA, 90024, USA.
Stephen M ShortellDepartment of Health Policy and Management, UC-Berkeley School of Public Health, 50 University Hall, Berkeley, CA, 94720, USA.

Funding

PA-20-072: Accelerating the Use of Evidence-based Innovation in Healthcare SystemsU19HS024075 · AHRQ · DARTMOUTH COLLEGE · PI MEARA, ELLEN R. · 2015 to 2021
$19.8M
NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
UCLA Clinical and Translational Science InstituteTL1TR000121 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$2.7M
Adoption of Evidence-based Practices:Patterns and Positive Deviants in the National Survey of Physician OrganizationsR36HS024176 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MIAKE-LYE, ISOMI MURIEL · 2015 to 2015
$10k
AHRQ HHS R36 HS024176AHRQ HHS U19 HS024075NCATS NIH HHS TL1 TR000121NCATS NIH HHS TL1 TR001883
6 · The paper itself

Abstract

backgroundTheories, models, and frameworks used by implementation science, including Diffusion of Innovations, tend to focus on the adoption of one innovation, when often organizations may be facing multiple simultaneous adoption decisions. For instance, despite evidence that care management practices (CMPs) are helpful in managing chronic illness, there is still uneven adoption by physician organizations. This exploratory paper leverages this natural variation in uptake to describe inter-organizational patterns in adoption of CMPs and to better understand how adoption choices may be related to one another.

methodsWe assessed a cross section of national survey data from physician organizations reporting on the use of 20 CMPs (5 each for asthma, congestive heart failure, depression, and diabetes). Item response theory was used to explore patterns in adoption, first considering all 20 CMPs together and then by subsets according to disease focus or CMP type (e.g., registries, patient reminders). Mokken scale analysis explored whether adoption choices were linked by disease focus or CMP type and whether a consistent ordering of adoption choices was present.

resultsThe Mokken scale for all 20 CMPs demonstrated medium scalability (H = 0.43), but no consistent ordering. Scales for subsets of CMPs sharing a disease focus had medium scalability (0.4 < H < 0.5), while subsets sharing a CMP type had strong scalability (H > 0.5). Scales for CMP type consistently ranked diabetes CMPs as most adoptable and depression CMPs as least adoptable. Within disease focus scales, patient reminders were ranked as the most adoptable CMP, while clinician feedback and patient education were ranked the least adoptable.

conclusionsPatterns of adoption indicate that innovation characteristics may influence adoption. CMP dissemination efforts may be strengthened by encouraging traditionally non-adopting organizations to focus on more adoptable practices first and then describing a pathway for the adoption of subsequent CMPs. Clarifying why certain CMPs are "less adoptable" may also provide insights into how to overcome CMP adoption constraints.

Indexed as

Disease ManagementChronic DiseaseDiffusion of InnovationGroup PracticeHealth Care SurveysHealth Plan ImplementationHumansOrganizational InnovationPractice Guidelines as TopicPractice Patterns, Physicians'United StatesAdoptionCare management practicesChronic carePhysician organizations

Identifiers

PMID28836996
PMCPMC5571615

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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.