Evidence map›Paper›PMID 38532406›Full record

ArticleBMC health services research2024

Treatment approaches and costs associated with diabetes clinical metrics as measured by Healthcare Effectiveness Data and Information Set (HEDIS).

Jamil Alkhaddo, Jillian M Rung, Ameer Khowaja, Yue Yin, Shannon B Richards, Charlotte Drury-Gworek, Samina Afreen, Caitlan Rossi, Susan Manzi

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. 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
0.8field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

9 authors at 4 institutions in 1 country.

Jamil AlkhaddoAllegheny Health Network, Division of Endocrinology, Pittsburgh, PA, USA. alkhaddojb@gmail.com.
Jillian M RungHighmark Health Enterprise Data & Analytics, Pittsburgh, PA, USA.
Ameer KhowajaNortheast Endocrinology Associates, San Antonio, TX, USA.
Yue YinAllegheny-Singer Research Institute, Pittsburgh, PA, USA.
Shannon B RichardsHighmark Health Enterprise Data & Analytics, Pittsburgh, PA, USA.
Charlotte Drury-GworekHighmark Health Enterprise Data & Analytics, Pittsburgh, PA, USA.
Samina AfreenDivision of Endocrinology, University of Virginia, Charlottesville, VA, USA.
Caitlan RossiAllegheny Health Network Medicine Institute, Pittsburgh, PA, USA.
Susan ManziAllegheny Health Network Medicine Institute, Pittsburgh, PA, USA.
Allegheny Health Network · USHighmark Blue Cross Blue Shield · USAllegheny-Singer Research Institute · USUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical outcomes of diabetes can be influenced by primary care providers' (PCP) treatment approaches. This study explores the association between PCP approaches to management and performance measured by established diabetes metrics and related costs.

methodsIn phase one, Electronic Medical Records were used to extract diabetes related metrics using Healthcare Effectiveness Data and Information Set (HEDIS), for patients with diabetes who had office visits to 44 PCP practices from April 2019 to March 2020. Using those metrics and scoring system, PCP practices were ranked and then categorized into high- and low-performing groups (top and bottom 25%, n = 11 each), with a total of 19,059 clinic visits by patients with a diagnosis of diabetes. Then extensive analysis was performed to evaluate a correlation between treatment approaches and diabetes outcomes across the top and bottom performing practices. In phase 2, patients with diabetes who were attributed to the aforementioned PCP practices were identified in a local health plan claims data base (a total of 3,221 patients), and the allowed amounts from their claims were used to evaluate differences in total and diabetes-related healthcare costs by providers' performance.

resultsComparing 10,834 visits in high-performing practices to 8,235 visits in low-performing practices, referrals to certified diabetes care and education specialists and provider-to-provider electronic consults (e-consults) were higher in high-performing practices (Z = 6.06, p < .0001), while traditional referrals were higher in low-performing practices (Z = -6.94, p < .0001). The patient-to-provider ratio was higher in the low-performing group (M = 235.23) than in the high-performing group (M = 153.26) (Z = -2.82, p = .0048). Claims data analysis included 1,825 and 1,396 patients from high- and low-performing providers, respectively. The patient-to-provider ratio was again higher in the low-performing group (p = .009, V = 0.62). Patients receiving care from lower-performing practices were more likely to have had a diabetes-related hospital observation (5.7% vs. 3.9%, p = .02; V = 0.04) and higher diabetes-related care costs (p = .002; d = - 0.07); these differences by performance status persisted when controlling for differences in patient and physician characteristics. Patients seeing low-performing providers had higher Charlson Comorbidity Index scores (Mdn = 3) than those seeing high-performing providers (Mdn = 2).

conclusionsReferrals to the CDCES and e-Consult were associated with better measured diabetes outcomes, as were certain aspects of cost and types of hospital utilization. Higher patients to providers ratio and patients with more comorbidities were observed in low performing group.

Indexed as

Diabetes MellitusBenchmarkingDelivery of Health CareHealth Care CostsHumansCertified diabetes care and education specialist (CDCES)DiabetesElectronic consults (E-consults)Healthcare Effectiveness Data and Information Set (HEDIS)Patients-to-providers

Identifiers

PMID38532406
PMCPMC10967116
OpenAlexW4393188546

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.