Evidence map›Paper›PMID 31806097›Full record

ArticleMayo Clinic proceedings2019

Association Between Patient Cost Sharing and Cardiac Rehabilitation Adherence.

Michel Farah, Maya Abdallah, Heidi Szalai, Robert Berry, Tara Lagu, Peter K Lindenauer, Quinn R Pack

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Million Hearts Cardiac Rehabilitation Think Tank: Accelerating New Care Models.Circulation. Cardiovascular quality and outcomes · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Cost Sharing for Acupuncture Therapy in Commercial Insurance Plans.Global advances in integrative medicine and health
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michel FarahDepartment of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield.
Maya AbdallahDepartment of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield.
Heidi SzalaiDivision of Cardiovascular Medicine, Baystate Medical Center, Springfield, MA.
Robert BerryDivision of Preventive Cardiology, Henry Ford Hospital, Detroit, MI.
Tara LaguDepartment of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield; Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield.
Peter K LindenauerDepartment of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield; Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield.
Quinn R PackDepartment of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield; Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield; Division of Cardiovascular Medicine, Baystate Medical Center, Springfield, MA. Electronic address: Quinn.PackMD@baystatehealth.org.

Funding

Defining Optimal Clinical Strategies for Critically Ill Heart Failure PatientsK01HL114745 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LAGU, TARA C · 2013 to 2017
$721k
Identifying Effective Strategies to Improve Participation in Cardiac Rehabilitation after an Acute Cardiac HospitalizationK23HL135440 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI PACK, QUINN RUSSELL · 2017 to 2020
$697k
Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
$574k
NHLBI NIH HHS K01 HL114745NHLBI NIH HHS K23 HL135440NHLBI NIH HHS K24 HL132008
6 · The paper itself

Abstract

objectiveTo determine the association between cost sharing and adherence to cardiac rehabilitation (CR). PATIENTS AND

methodsWe collected detailed cost-sharing information for patients enrolled in CR at Baystate Medical Center in Springfield, Massachusetts, including the presence (or absence) and amounts of co-pays and deductibles. We evaluated the association between cost sharing and the total number of CR sessions attended as well as the influence of household income on CR attendance.

resultsIn 2015, 603 patients enrolled in CR had complete cost-sharing information. In total, 235 (39%) had some form of cost sharing. Of these, 192 (82%) had co-pays (median co-pay, $20; interquartile range [IQR], $10-$32) and 79 (34%) had an unmet deductible (median, $500; IQR, $250-$1800). The presence of any amount or form of cost sharing was associated with 6 fewer sessions of CR (16; IQR, 4-36 vs 10; IQR, 4-27; P<.001). Patients hospitalized in November or December with deductibles that renewed in January attended 4.5 fewer sessions of CR (8.5; IQR, 3.25-12.50 vs 13; IQR, 5.25-36.00; P=.049). After adjustment for differences in baseline characteristics, every $10 increase in co-pay was associated with 1.5 (95% CI, -2.3 to -0.7) fewer sessions of CR (P<.001). Household income did not moderate these relationships.

conclusionCost sharing was associated with lower CR attendance and exhibited a dose-response relationship such that higher cost sharing was associated with lower CR attendance. Given that CR is cost-effective and underutilized, insurance companies and other payers should reevaluate their cost-sharing policies for CR.

Indexed as

AgedCardiac RehabilitationCardiovascular DiseasesCost SharingFacilities and Services UtilizationFemaleHumansIncomeMaleMiddle AgedPatient ComplianceRetrospective Studies

Identifiers

PMID31806097
PMCPMC6946372

What OpenQuestion holds

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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.