Evidence map›Paper›PMID 40355886›Full record

ArticleBMC health services research2025

Enhancing patient-provider relationships with a whole person oriented healing pathway model.

Jolie N Haun, Justin T McDaniel, Rachel C Benzinger, Christine Melillo

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jolie N HaunResearch and Development Service, James A. Haley Veterans' Hospital, Tampa, FL, USA.
Justin T McDanielSchool of Human Sciences, Southern Illinois University, 475 Clocktower Drive, Carbondale, IL, 62901, USA. jtmcd@siu.edu.
Rachel C BenzingerResearch and Development Service, James A. Haley Veterans' Hospital, Tampa, FL, USA.
Christine MelilloSeattle-Denver Center of Innovation, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA.

Funding

Arizona Complementary and Alternative Medicine Research Training ProgramT32AT001287 · NCCIH · UNIVERSITY OF ARIZONA · PI BELL, IRIS ROBERTA · 2002 to 2011
$3.2M
NCCIH NIH HHS T32 AT001287NIH HHS AT001287U.S. Department of Veterans Affairs 1 I50 HX003619-01A1
6 · The paper itself

Abstract

objectiveThis paper identifies provider characteristics, across medical specialties, that facilitate a healing pathway model for patients.

designWith a phenomenological approach, a prospective descriptive study design was used to conduct in-depth semi-structured focus groups and individual interviews, which elicited experiences facilitating healing. Thematic content analysis methods were used to organize and analyze data findings within the context of a healing pathway model.

settingData were collected in three geographically diverse areas representing various fields of practice in conventional and complementary and integrative health (CIH). PATIENTS OR OTHER

participantsSnowball sampling was used to collect data from 52 providers from diverse healthcare settings.

resultsAs a group, participants described three healing domains, including (1) Provider Approach for Facilitating Healing; (2) Foundations of a Healing Pathway; and (3) Observation of Healing Outcomes.

conclusionsAs the dynamics of healthcare continue to become more complex, and consumeristic in nature, constructs emerge across disciplines reflecting an interpersonal approach to facilitate healing. These emergent constructs informed the development of a conceptually driven healing pathway model to identify points of intervening and informing how to leverage patient-provider relationships to facilitate healing.

Indexed as

Patient-Centered CarePhysician-Patient RelationsProfessional-Patient RelationsAdultFemaleFocus GroupsHumansInterviews as TopicMaleMiddle AgedProspective StudiesQualitative ResearchCaring scienceHealingHumanisticIntegrative healthModelRelationships

Identifiers

PMID40355886
PMCPMC12070668

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.