Evidence map›Paper›PMID 36061958›Full record

ArticleInternational journal of general medicine2022

Health Priorities of Multi-Morbid Ambulatory Patients in New York City During the COVID-19 Pandemic: A Qualitative Analysis.

Peggy B Leung, Andrea C Cabassa Miskimen, Dianna L Mejia, Diksha Brahmbhatt, Melissa Rusli, Judy Tung, Madeline R Sterling

Abstract read
In one paragraph

Article in International journal of general medicine, 2022. 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
–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

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

7 authors.

Peggy B LeungDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Andrea C Cabassa MiskimenDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Dianna L MejiaDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Diksha BrahmbhattDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Melissa RusliDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Judy TungDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Madeline R SterlingDepartment of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, adults with chronic conditions delayed or avoided seeking preventative and general medical care, leading to adverse consequences for morbidity and mortality. In order to bring patients back into care, we, in this qualitative study, sought to understand the foremost health-related needs of our multi-morbid ambulatory patients to inform future outreach interventions. Via a telephone-based survey of our high-risk patients, defined using a validated EPIC risk model for hospitalization and ED visits, we surveyed 214 participants an open-ended question, "What is your top health concern that you would like to speak with a doctor or nurse about". We found 4 major themes: 1) primary care matters, 2) disruptions in health care, 3) COVID-19's impact on physical and mental health, and 4) amplified social vulnerabilities. Our results suggest that interventions that reduce barriers to preventative services and disruptions to healthcare delivery are needed.

Indexed as

ambulatory patientshealth prioritymulti-morbidityprimary care

Identifiers

PMID36061958
PMCPMC9438932

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.