Evidence map›Paper›PMID 37563581›Full record

ArticleBMC health services research2023

Development of a conceptual model of the capacity for patients to engage in their health care: a group concept mapping study.

Gennaro Di Tosto, Jennifer L Hefner, Daniel M Walker, Megan E Gregory, Ann Scheck McAlearney, Cynthia J Sieck

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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.

Gennaro Di TostoCATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, 700 Ackerman Rd, Suite 4100, Columbus, OH, USA. Gennaro.DiTosto@osumc.edu.
Jennifer L HefnerDepartment of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
Daniel M WalkerCATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, 700 Ackerman Rd, Suite 4100, Columbus, OH, USA.
Megan E GregoryDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Ann Scheck McAlearneyCATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, 700 Ackerman Rd, Suite 4100, Columbus, OH, USA.
Cynthia J SieckCenter for Health Equity, Dayton Children's Hospital, Dayton, OH, USA.

Funding

Total Engagement and Activation Measure (TEAM): Developing a measure of the capacity for patients to engage in their health careR01AG056469 · NIA · OHIO STATE UNIVERSITY · PI HEFNER, JENNIFER L, SIECK, CYNTHIA J. · 2018 to 2022
$2.4M
NIA NIH HHS R01 AG056469
6 · The paper itself

Abstract

backgroundPatient engagement is seen as a necessary component in achieving the triple aim of improved population health, improved experience of care, and lower per capita health care costs. While there has been a substantial increase in the number of tools and patient-centered initiatives designed to help patients participate in health decisions, there remains a limited understanding of engagement from the perspective of patients and a lack of measures designed to capture the multi-faceted nature of the concept.

methodsDevelopment of a concept map of patient engagement followed a five-step modified Group Concept Mapping (GCM) methodology of preparation, generation, structuring, analysis and interpretation. We engaged a Project Advisory Committee at each step, along with three rounds of survey collection from clinicians and patients for element generation (272 clinicians, 61 patients), statement sorting (30 clinicians, 15 patients), and ranking and rating of statements (159 clinicians, 67 patients). The survey of three separate samples, as opposed to focus groups of 'experts,' was an intentional decision to gain a broad perspective about the concept of patient engagement. We conducted the structure and analysis steps within the groupwisdom concept mapping software.

resultsThe final concept map comprised 47 elements organized into 5 clusters: Relationship with Provider, Patient Attitudes and Behaviors, Access, Internal Resources and External Resources. There was considerable agreement in the way elements in each cluster were rated by patients and clinicians. An analysis of the importance of the constitutive elements of patient engagement relative to their addressability highlighted actionable items in the domain of Relationship with Provider, aimed at building trust and enabling patients to ask questions. At the same time, the analysis also identified elements traditionally considered barriers to engagement, like personal access to the internet and the patient's level of digital literacy, as difficult to address by the healthcare system, but also relatively less important for patients.

conclusionsThrough our GCM approach, incorporating perspectives of both patients and clinicians, we identified items that can be used to assess patient engagement efforts by healthcare systems. As a result, our study offers specific insight into areas that can be targeted for intervention by healthcare systems to improve patient engagement.

Indexed as

Health FacilitiesPatientsFocus GroupsHumansPatient ParticipationSoftwareGroup concept mapping.Patient-centered carePatient engagement

Identifiers

PMID37563581
PMCPMC10413602

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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.