Evidence map›Paper›PMID 37028913›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2023

Outcomes of A Virtual Practice-Tailored Medicare Annual Wellness Visit Intervention.

Derjung M Tarn, Wilson D Pace, Chi-Hong Tseng, Elisabeth Callen, Natalia Y Loskutova, Kurt C Stange, Neil S Wenger

Open access · diamondAbstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Derjung M TarnFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH dtarn@mednet.ucla.edu.
Wilson D PaceFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Chi-Hong TsengFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Elisabeth CallenFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Natalia Y LoskutovaFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Kurt C StangeFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Neil S WengerFrom the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH.
Case Western Reserve University · USAmerican Academy of Family Physicians · USUniversity of California, Los Angeles · US

Funding

Medicare Annual Wellness Visit Practice Redesign Toolkit: A Tailored Intervention to Improve Preventive Health Service UseR33AG068946 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TARN, DERJUNG M · 2022 to 2024
$1.4M
Medicare Annual Wellness Visit Practice Redesign Toolkit: A Tailored Intervention to Improve Preventive Health Service UseR61AG068946 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TARN, DERJUNG M · 2020 to 2021
$505k
NIA NIH HHS R33 AG068946NIA NIH HHS R61 AG068946
6 · The paper itself

Abstract

introductionInterventions are needed to promote utilization of the Medicare Annual Wellness Visit (AWV), an underused opportunity to perform screenings and plan individualized preventive health services.

methodUsing remote practice redesign and electronic health record (EHR) support, we implemented the Practice-Tailored AWV intervention in 2021 (during the COVID-19 pandemic) in 3 small community-based practices. The intervention combines EHR-based tools with practice redesign approaches and resources. Outcomes included completion of AWV and fulfillment of recommended preventive services.

resultsAt baseline the 3 practices had 1,513 Medicare patients with at least 1 visit in the past 12 months. AWV utilization went from 7% at baseline to 54% 8 months postintervention implementation; advance care planning increased 10.7% (from 7.9% to 18.6%); depression screening increased 16.3% (from 51.7% to 68.0%); and alcohol misuse screening increased 17.3% (from 42.6% to 59.9%). Every individual preventive health service was received more often by patients with an AWV than those without. At the patient level, fulfillment of all eligible preventive services (of a maximum of 12 evaluated) went from 47.5% to 53.8% (

conclusionVirtual implementation of an intervention that combined EHR-based tools with practice redesign approaches increased AWV and preventive services utilization in Medicare patients. Given the success of this intervention during the COVID-19 pandemic (when practices had many competing demands), greater consideration should be given to delivering future interventions virtually.

Indexed as

COVID-19PandemicsAgedElectronic Health RecordsHumansMedicarePreventive Health ServicesUnited StatesEarly Medical InterventionGeriatricsMedicarePreventive Health ServicesVirtual Systems

Identifiers

PMID37028913
PMCPMC10352446
OpenAlexW4362716802

What OpenQuestion holds

Textmetadata
LicenceTDM
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.