Evidence map›Paper›PMID 28191546›Full record

ArticleContemporary clinical trials communications2016

Customized Care: An intervention to Improve Communication and health outcomes in multimorbidity.

Marsha N Wittink, Sule Yilmaz, Patrick Walsh, Ben Chapman, Paul Duberstein

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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.

NCT02100982 nacompletednot on this map

Developing a Customized Care Intervention to Improve Mental Health Outcomes in Multimorbidity

TypeinterventionalSponsorUniversity of RochesterRan2015 to 2018Enrolled60ConditionsChronic DiseaseArmsCustomized Care, Care As Usual
NCT05477706 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Use of a Peer Intervention to Improve Access Among Rural Women Veterans With Psychological Distress and Unmet Social Needs

TypeinterventionalSponsorSyracuse VA Medical CenterRan2021 to 2024Enrolled72ConditionsPsychological Distress, Depression, PTSD, AnxietyArmsPersonalized Support for Progress (PSP), Tailored Referral (TR)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
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  4. Multimorbidity Management: A Scoping Review of Interventions and Health Outcomes.International journal of environmental research and public health · 2025
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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

5 authors at 2 institutions in 1 country.

Marsha N WittinkDepartment of Psychiatry, University of Rochester Medical Center, United States; Department of Family Medicine, University of Rochester Medical Center, United States.
Sule YilmazWarner School for Education, University of Rochester, United States.
Patrick WalshDepartment of Psychiatry, University of Rochester Medical Center, United States; Department of Public Health Sciences, University of Rochester Medical Center, United States.
Ben ChapmanDepartment of Psychiatry, University of Rochester Medical Center, United States; Department of Public Health Sciences, University of Rochester Medical Center, United States.
Paul DubersteinDepartment of Psychiatry, University of Rochester Medical Center, United States; Department of Family Medicine, University of Rochester Medical Center, United States; Department of Medicine, University of Rochester Medical Center, United States.
University of Rochester Medical Center · USUniversity of Rochester · US

Funding

Developing Customized Primary Care to Improve Mental Health in MultimorbidityR34MH101236 · NIMH · UNIVERSITY OF ROCHESTER · PI WITTINK, MARSHA NICOLE · 2014 to 2016
$689k
NIMH NIH HHS R34 MH101236
6 · The paper itself

Abstract

introductionMany primary care patients with multimorbidity (two or more chronic conditions) and depression or anxiety have day-to-day challenges that affect health outcomes, such as having financial or housing concerns, or dealing with social or emotional stressors. Yet, primary care providers (PCPs) are often unaware of patients' daily challenges coping with chronic disease. We developed Customized Care, an intervention, to address the barriers to effective communication about patient's day-to-day challenges.

methodsIn this report we describe the rationale and design of a randomized clinical pilot study to examine the effect of Customized Care on patient-PCP communication and patient health outcomes, including depression, anxiety and functional outcomes. Customized Care comprises two components: (1) a computer-based discussion prioritization tool (DPT) designed to empower patients to communicate their health related priorities; and (2) a customized question prompt list (QPL) tailored to these priorities. Primary care clinic patients and PCPs participated in the study, which consisted of in-person patient assessments, audio recording and transcription of the patient-PCP office visit, and follow-up patient assessments by phone.

resultsWe describe study participant demographics and development of a coding manual to assess communication within the office visit. Participants were recruited from an urban primary care clinic. Sixty patients and 12 PCPs were enrolled over six months.

conclusionsWith better communication about everyday challenges, patients and PCPs can have more informed discussions about health care options that positively influence patient outcomes. We expect that Customized Care will improve patient-PCP communication about day-to-day challenges, which can lead to better health outcomes.

Indexed as

Doctor-patient communicationMultimorbidityPrimary careRandomized clinical trial

Identifiers

PMID28191546
PMCPMC5298860
OpenAlexW2531439280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.