Evidence map›Paper›PMID 36292453›Full record

ArticleHealthcare (Basel, Switzerland)2022

Assessing Alignment of Patient and Clinician Perspectives on Community Health Resources for Chronic Disease Management.

Kameswari A Potharaju, Jessica D Fields, Anupama G Cemballi, Matthew S Pantell, Riya Desai, Antwi Akom, Aekta Shah, Tessa Cruz, Kim H Nguyen, Courtney R Lyles

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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 at 3 institutions in 1 country.

Kameswari A PotharajuSchool of Public Health, University of California, Berkeley, CA 94704, USA.ORCID 0000-0003-2466-0233
Jessica D FieldsDepartment of Medicine, Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA 94143, USA.ORCID 0000-0003-1131-6329
Anupama G CemballiDepartment of Medicine, Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA 94143, USA.
Matthew S PantellDepartment of Pediatrics, University of California, San Francisco, CA 94143, USA.
Riya DesaiDepartment of Medicine, Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA 94143, USA.
Antwi AkomDepartment of Medicine, Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA 94143, USA.
Aekta ShahSocial Innovation and Universal Opportunity Lab (SOUL), University of California, San Francisco and San Francisco State University, San Francisco, CA 94132, USA.
Tessa CruzSocial Innovation and Universal Opportunity Lab (SOUL), University of California, San Francisco and San Francisco State University, San Francisco, CA 94132, USA.
Kim H NguyenDepartment of Medicine, Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA 94143, USA.
Courtney R LylesSchool of Public Health, University of California, Berkeley, CA 94704, USA.ORCID 0000-0002-1111-8595
San Francisco General Hospital · USUniversity of California, San Francisco · USUniversity of California, Berkeley · US

Funding

Creating Community Driven, Personalized Health Maps for Patients with DiabetesR01LM013045 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2018 to 2021
$1.5M
NLM NIH HHS R01 LM013045United States National Library of Medicine R01LM013045
6 · The paper itself

Abstract

Addressing social determinants of health (SDoH) is associated with improved clinical outcomes for patients with chronic diseases in safety-net settings. This qualitative study supplemented by descriptive quantitative analysis investigates the degree of alignment between patient and clinicians’ perceptions of SDoH resources and referrals in clinics within the public healthcare delivery system in San Francisco. We conducted a qualitative analysis of in-depth interviews, patient-led neighborhood tours, and in-person clinic visit observations with 10 patients and 7 primary care clinicians. Using a convergent parallel mixed methodology, we also completed a descriptive quantitative analysis comparing the categories of neighborhood health resources mentioned by patients or community leaders to the resources integrated into the electronic health record. We found that patients held a wealth of knowledge about neighborhood resources relevant to SDoH that were highly localized and specific to their communities. In addition, multiple stakeholders were involved in conducting SDoH screenings and referrals, including clinicians, system navigators such as case workers, and community-based organizations. Yet, the information flow between these stakeholders and patients lacked systematization, and the prioritization of social needs by patients and clinicians was misaligned, as represented by qualitative themes as well as quantitative differences in resource category distribution analysis (p < 0.001). Our results shed light upon opportunities for strengthening social care delivery in safety-net healthcare settings by improving patient engagement, clinic workflow, EHR engagement, and resource dissemination.

Indexed as

chronic diseasecommunity health networkscommunity health resourceselectronic health recordimplementation sciencemixed-methods researchqualitative researchsocial determinants of health

Identifiers

PMID36292453
PMCPMC9602069
OpenAlexW4304689342

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.