Evidence map›Paper›PMID 31411713›Full record

ArticleJAMA network open2019

Association Between Clinical Practice Group Adherence to Quality Measures and Adverse Outcomes Among Adult Patients With Diabetes.

Lauren G Gilstrap, Michael E Chernew, Christina A Nguyen, Sartaj Alam, Barbara Bai, J Michael McWilliams, Bruce E Landon, Mary Beth Landrum

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In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  3. Diallyl trisulfide attenuates metabolic syndromeFrontiers in pharmacology · 2026
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  8. Diabetes Basic Training Program: Empowering Veterans for Wellness.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors.

Lauren G GilstrapThe Dartmouth Institute, Dartmouth Medical School, Lebanon, New Hampshire.
Michael E ChernewDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Christina A NguyenDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Sartaj AlamDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Barbara BaiDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
J Michael McWilliamsDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Bruce E LandonDivision of General Medicine, Beth Israel Deaconess Hospital, Boston, Massachusetts.
Mary Beth LandrumDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

Funding

The Impact of Quality Metrics on Outcomes Among Elderly Heart Failure PatientsK23HL142835 · NHLBI · DARTMOUTH-HITCHCOCK CLINIC · PI GILSTRAP, LAUREN GRAY · 2018 to 2022
$831k
NHLBI NIH HHS K23 HL142835
6 · The paper itself

Abstract

Importance: Clinical practice group performance on quality measures associated with chronic disease management has become central to reimbursement. Therefore, it is important to determine whether commonly used process and disease control measures for chronic conditions correlate with utilization-based outcomes, as they do in acute disease. Objective: To examine the associations among clinical practice group performance on diabetes quality measures, including process measures, disease control measures, and utilization-based outcomes. Design, Setting, and Participants: This retrospective, cross-sectional analysis examined commercial claims data from a national health insurance plan. A cohort of eligible beneficiaries with diabetes aged 18 to 65 years who were enrolled for at least 12 months from January 1, 2010, through December 31, 2014, was defined. Eligible beneficiaries were attributed to a clinical practice group based on the plurality of their primary care or endocrinology office visits. Data were analyzed from October 1, 2018, through April 30, 2019. Main Outcomes and Measures: For each clinical practice group, performance on current diabetes quality measures included 3 process measures (2 testing measures [hemoglobin A1c {HbA1c} and low-density lipoprotein {LDL} testing] and 1 drug use measure [statin use]) and 2 disease control measures (HbA1c <8% and LDL level <100 mg/dL). The rates of utilization-based outcomes, including hospitalization for diabetes and major adverse cardiovascular events (MACEs), were also measured. Results: In this cohort of 652 258 beneficiaries with diabetes from 886 clinical practice groups, 42.9% were aged 51 to 60 years, and 52.6% were men. Beneficiaries lived in areas that were predominantly white (68.1%). At the clinical practice group level, except for high correlation between the 2 testing measures, correlations among different quality measures were weak (r range, 0.010-0.244). Rate of HbA1c of less than 8% had the strongest correlation with hospitalization for MACE (r = -0.046; P = .03) and diabetes (r = -0.109; P < .001). Rates of HbA1c control at the clinical practice group level were not significantly associated with likelihood of hospitalization at the individual level. Performance on the process and disease control measures together explained 3.9% of the variation in the likelihood of hospitalization for a MACE or diabetes at the individual level. Conclusions and Relevance: In this study, performance on utilization-based measures-intended to reflect the quality of chronic disease management-was only weakly associated with direct measures of chronic disease management, namely, disease control measures. This correlation should be considered when determining the degree of financial emphasis to place on hospitalization rates as a measure of quality in treatment of chronic diseases.

Indexed as

AdolescentAdultAgedCholesterol, LDLComorbidityCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycated HemoglobinGroup PracticeHospitalizationHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedCholesterol, LDLGlycated HemoglobinHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID31411713
PMCPMC6694385

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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.