Evidence map›Paper›PMID 32716515›Full record

ArticleJAMA network open2020

Assessment of Physician Priorities in Delivery of Preventive Care.

Jessica J Zhang, Michael B Rothberg, Anita D Misra-Hebert, Niyati M Gupta, Glen B Taksler

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05463887 (Personalized Disease Prevention), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

NCT05463887 nacompletednot on this mapstarted 2022, after this paper: background citation

Personalized Disease Prevention (PDP): A Randomized Clinical Trial

TypeinterventionalSponsorGlen TakslerRan2022 to 2026Enrolled721ConditionsPrimary Prevention, Healthy Aging, Quality of Life, Decision Support TechniquesArmsIndividualized preventive care recommendations (decision tool)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 36 citations in OpenAlex.

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  13. Physician-Reported Barriers to Osteoporosis Screening: A Nationwide Survey.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2023
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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

5 authors at 3 institutions in 1 country.

Jessica J ZhangCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio.
Michael B RothbergCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio.
Anita D Misra-HebertCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio.
Niyati M GuptaMedicine Institute, Cleveland Clinic, Cleveland, Ohio.
Glen B TakslerCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio.
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · USCase Western Reserve University · US

Funding

Testing the Effectiveness of Individualized Disease Prevention for Middle-Aged AdultsR01AG059979 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI TAKSLER, GLEN · 2019 to 2023
$3.4M
Individualizing Disease Prevention for Middle-Aged AdultsR21AG052849 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI TAKSLER, GLEN · 2017 to 2018
$457k
NIA NIH HHS R01 AG059979NIA NIH HHS R21 AG052849
6 · The paper itself

Abstract

Importance: Primary care physicians have limited time to discuss preventive care, but it is unknown how they prioritize recommended services. Objective: To understand primary care physicians' prioritization of preventive services. Design, Setting, and Participants: This online survey was administered to primary care physicians in a large health care system from March 17 to May 12, 2017. Physicians were asked whether they prioritize preventive services and which factors contribute to their choice (5-point Likert scale). Results were analyzed from July 8, 2017, to September 19, 2019. Exposures: A 2 × 2 factorial design of 2 hypothetical patients: (1) a 50-year-old white woman with hypertension, type 2 diabetes, hyperlipidemia, obesity, a 30-pack-year history of smoking, and a family history of breast cancer; and (2) a 45-year-old black man with hypertension, hyperlipidemia, obesity, a 30-pack-year history of smoking, and a family history of colorectal cancer. Two visit lengths (40 minutes vs 20 minutes) were given. Each patient was eligible for at least 11 preventive services. Main Outcomes and Measures: Physicians rated their likelihood of discussing each service during the visit and reported their top 3 priorities for patients 1 and 2. Physician choices were compared with the preventive services most likely to improve life expectancy, using a previously published mathematical model. Results: Of 241 physicians, 137 responded (57%), of whom 74 (54%) were female and 85 (62%) were younger than 50 years. Physicians agreed they prioritized preventive services (mean score, 4.27 [95% CI, 4.12-4.42] of 5.00), mostly by ability to improve quality (4.56 [95% CI, 4.44-4.68] of 5.00) or length (4.53 [95% CI, 4.40-4.66] of 5.00) of life. Physicians reported more prioritization in the 20- vs 40-minute visit, indicating that they were likely to discuss fewer services during the shorter visit (median, 5 [interquartile range {IQR}, 3-8] vs 11 [IQR, 9-13] preventive services for patient 1, and 4 [IQR, 3-6] vs 9 [IQR, 8-11] for patient 2). Physicians reported similar top 3 priorities for both patients: smoking cessation, hypertension control, and glycemic control for patient 1 and smoking cessation, hypertension control, and colorectal cancer screening for patient 2. Physicians' top 3 priorities did not usually include diet and exercise or weight loss (ranked in their top 3 recommendations for either patient by only 48 physicians [35%]), although these were among the 3 preventive services most likely to improve life expectancy based on the mathematical model. Conclusions and Relevance: In this survey study, physicians prioritized preventive services under time constraints, but priorities did not vary across patients. Physicians did not prioritize lifestyle interventions despite large potential benefits. Future research should consider whether physicians and patients would benefit from guidance on preventive care priorities.

Indexed as

AdultClinical CompetenceComorbidityDelivery of Health CareFemaleHealth PrioritiesHumansMaleMiddle AgedPhysiciansPhysicians, Primary CarePreventive MedicineTime Factors

Identifiers

PMID32716515
PMCPMC8103855
OpenAlexW3044421096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.