ArticleThe Milbank quarterly2013
Medical home implementation: a sensemaking taxonomy of hard and soft best practices.
Article in The Milbank quarterly, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 24 citations in OpenAlex.
- Powering-Up Primary Care Teams: Advanced Team Care With In-Room Support.Annals of family medicine · 2019Article
- Navigating the evidentiary turn in public health: Sensemaking strategies to integrate genomics into state-level chronic disease prevention programs.Social science & medicine (1982) · 2018Article
- Pathways to Medical Home Recognition: A Qualitative Comparative Analysis of the PCMH Transformation Process.Health services research · 2018Article
- Analytical typology of multiprofessional primary care models.BMC family practice · 2018Article
- What matters in patient-centered medical home transformation: Whole system evaluation outcomes of the Brown Primary Care Transformation Initiative.SAGE open medicine · 2018Article
- The most used and most helpful facilitators for patient-centered medical home implementation.Implementation science : IS · 2015Article
- Implementing the patient-centered medical home in complex adaptive systems: Becoming a relationship-centered patient-centered medical home.Health care management reviewArticle
Corrections and comments
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Authors and funding
1 author at 1 institution in 2 countries.
Funding
Abstract
contextThe patient-centered medical home (PCMH) model of care is currently a central focus of U.S. health system reform, but less is known about the model's implementation in the practice of everyday primary care. Understanding its implementation is key to ensuring the approach's continued support and success nationally. This article addresses this gap through a qualitative examination of the best practices associated with PCMH implementation for older adult patients in primary care.
methodsI used a multicase, comparative study design that relied on a sensemaking approach and fifty-one in-depth interviews with physicians, nurses, and clinic support staff working in six accredited medical homes located in various geographic areas. My emphasis was on gaining descriptive insights into the staff's experiences delivering medical home care to older adult patients in particular and then analyzing how these experiences shaped the staff's thinking, learning, and future actions in implementing medical home care.
findingsI found two distinct taxonomies of implementation best practices, which I labeled "hard" and "soft" because of their differing emphasis and content. Hard implementation practices are normative activities and structural interventions that align well with existing national standards for medical home care. Soft best practices are more relational in nature and derive from the existing practice social structure and everyday interactions between staff and patients. Currently, external stakeholders are less apt to recognize, encourage, or incentivize soft best practices.
conclusionsThe results suggest that there may be no standardized, one-size-fits-all approach to making medical home implementation work, particularly for special patient populations such as the elderly. My study also raises the issue of broadening current PCMH assessments and reward systems to include implementation practices that contain heavy social and relational components of care, in addition to the emphasis now placed on building structural supports for medical home work. Further study of these softer implementation practices and a continued call for qualitative methodological approaches that gain insight into everyday practice behavior are warranted.
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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.