Evidence map›Paper›PMID 29800396›Full record

ArticleTranslational behavioral medicine2018

A mixed-methods analysis of the capacity of the Patient-Centered Medical Home to implement care coordination services for cancer survivors.

Jennifer Tsui, Shawna V Hudson, Ellen B Rubinstein, Jenna Howard, Elisabeth Hicks, Autumn Kieber-Emmons, Alicja Bator, Heather S Lee, Jeanne Ferrante, Benjamin F Crabtree

Abstract readComparative Study
In one paragraph

Article in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  3. Identifying Patients with Breast Cancer History Using Epic Electronic Health Record.Journal of the American Board of Family Medicine : JABFM · 2026
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  18. Oncology and Primary Care Provider Views on Cancer Survivorship Care: Mind the Gap.Journal of the American Board of Family Medicine : JABFM
    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

10 authors.

Jennifer TsuiDivision of Population Science, Rutgers Cancer Institute of New Jersey, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Shawna V HudsonDivision of Population Science, Rutgers Cancer Institute of New Jersey, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Ellen B RubinsteinDepartment of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Jenna HowardDepartment of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Elisabeth HicksDepartment of Family Medicine, Oregon Health and Sciences University, Portland, OR, USA.
Autumn Kieber-EmmonsLehigh Valley Health Network/University of Southern Florida Morsani School of Medicine, Allentown, PA, USA.
Alicja BatorDepartment of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Heather S LeeDepartment of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Jeanne FerranteDepartment of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
Benjamin F CrabtreeDivision of Population Science, Rutgers Cancer Institute of New Jersey, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.

Funding

PCMH Implementation Strategies: Implications for Cancer Survivor CareR01CA176545 · NCI · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI CRABTREE, BENJAMIN F · 2014 to 2016
$2.3M
NCI NIH HHS R01 CA176545
6 · The paper itself

Abstract

There are currently 15.5 million cancer survivors in USA who are increasingly relying on primary care providers for their care. Patient-Centered Medical Homes (PCMHs) have the potential to meet the unique needs of cancer survivors; but, few studies have examined PCMH attributes as potential resources for delivering survivorship care. This study assesses the current care coordination infrastructure in advanced PCMHs, known to be innovative, and explores their capacity to provide cancer survivorship care. We conducted comparative case studies of a purposive sample (n = 9) of PCMHs to examine current care coordination infrastructure and capacity through a mixed- methods analysis. Data included qualitative interviews, quantitative surveys, and fieldnotes collected during 10- to 12-day onsite observations at each practice. Case studies included practices in five states with diverse business models and settings. Eight of the nine practices had National Committee for Quality Assurance Level 3 PCMH recognition. No practices had implemented a systematic approach to cancer survivorship care. We found all practices had a range of electronic population health management tools, care coordinator roles in place for chronic conditions, and strategies or protocols for tracking and managing complex disease groups. We identified potential capacity, as well as barriers, to provide cancer survivorship care using existing care coordination infrastructure developed for other chronic conditions. This existing infrastructure suggests the potential to translate care coordination elements within primary care settings to accelerate the implementation of systematic survivorship care.

Indexed as

Cancer SurvivorsPatient-Centered CarePrimary Health CareHealth PersonnelHealth PolicyHumansInterviews as Topic

Identifiers

PMID29800396
PMCPMC6454454

What OpenQuestion holds

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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.