Evidence map›Paper›PMID 34457811›Full record

ArticleMedical science educator2020

Patient Narratives: a Tool for People-Centered Health Systems Education.

Mariana P Socal

Open access · greenAbstract read
In one paragraph

Article in Medical science educator, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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.

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, 3 citations in OpenAlex.

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

1 author at 1 institution in 1 country.

Mariana P SocalDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, Hampton House Suite 301, Baltimore, MD 21205 USA.ORCID 0000-0001-9459-4898
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent global initiatives have called for responsive and people-centered health systems. There has also been demand for increased transformational and applied learning in medicine and public health.

methodsPatient Narratives, a tool for people-centered health systems education, was implemented among undergraduate students preparing for a career in public health or medicine. This activity trained students to interview a patient living with a chronic condition and to analyze health system performance based on the patient's narrative.

resultsStudents interviewed patients of various ages, diagnoses, and socioeconomic backgrounds. Patients had obtained care in diverse health care settings, for example, through private health insurance and through governmental programs such as Medicare and Medicaid. All students were able to successfully complete the activity and successfully demonstrated ability to collect relevant information and make inferences on health systems performance using the information that they collected. Therefore, all students achieved the learning objectives. In addition, 92% of students reported increased confidence in engaging with patients as a result of this activity.

conclusionPatient Narratives can help students develop analytical skills to evaluate health systems performance and understand the realities of the individuals that they aim to serve. Patient Narratives can be a useful addition to the teaching methodology on health systems in the undergraduate setting and beyond.

Indexed as

Active learningChronic noncommunicable diseasesHealth systems educationPeople-centered classroomPeople-centered health systemsTeaching methods

Identifiers

PMID34457811
PMCPMC8368681
OpenAlexW3046084258

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.