Evidence map›Paper›PMID 28567711›Full record

ReviewCurrent diabetes reports2017

The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes.

Sherita Hill Golden, Nisa Maruthur, Nestoras Mathioudakis, Elias Spanakis, Daniel Rubin, Mihail Zilbermint, Felicia Hill-Briggs

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 63 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 4 institutions in 1 country.

Sherita Hill GoldenDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite no. 333, Baltimore, MD, 21287, USA. sahill@jhmi.edu.
Nisa MaruthurDepartments of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Nestoras MathioudakisDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite no. 333, Baltimore, MD, 21287, USA.
Elias SpanakisDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland Medical System, Baltimore, MD, USA.
Daniel RubinDivision of Endocrinology and Metabolism, Department of Medicine, Temple University School of Medicine, Philadelphia, PA, USA.
Mihail ZilbermintDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite no. 333, Baltimore, MD, 21287, USA.
Felicia Hill-BriggsDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite no. 333, Baltimore, MD, 21287, USA.
Johns Hopkins Medicine · USJohns Hopkins University · USTemple University · USUniversity of Maryland Medical System · US

Funding

Implementation and Evaluation of a Real-Time Informatics Alert to Prevent Insulin-Associated Hypoglycemia in the HospitalK23DK111986 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MATHIOUDAKIS, NESTORAS N · 2016 to 2019
$796k
Predicting and Preventing Hospital Readmission in Patients with Diabetes and CVDK23DK102963 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI RUBIN, DANIEL J · 2015 to 2018
$713k
NIDDK NIH HHS K23 DK102963NIDDK NIH HHS K23 DK111986
6 · The paper itself

Abstract

purpose of reviewThe goal of this review is to describe diabetes within a population health improvement framework and to review the evidence for a diabetes population health continuum of intervention approaches, including diabetes prevention and chronic and acute diabetes management, to improve clinical and economic outcomes. RECENT

findingsRecent studies have shown that compared to usual care, lifestyle interventions in prediabetes lower diabetes risk at the population-level and that group-based programs have low incremental medial cost effectiveness ratio for health systems. Effective outpatient interventions that improve diabetes control and process outcomes are multi-level, targeting the patient, provider, and healthcare system simultaneously and integrate community health workers as a liaison between the patient and community-based healthcare resources. A multi-faceted approach to diabetes management is also effective in the inpatient setting. Interventions shown to promote safe and effective glycemic control and use of evidence-based glucose management practices include provider reminder and clinical decision support systems, automated computer order entry, provider education, and organizational change. Future studies should examine the cost-effectiveness of multi-faceted outpatient and inpatient diabetes management programs to determine the best financial models for incorporating them into diabetes population health strategies.

Indexed as

Evidence-Based MedicineHealth PromotionPublic HealthCost-Benefit AnalysisDiabetes MellitusHumansPatient ReadmissionCost-effectivenessDiabetes mellitusDiabetes preventionInpatient diabetesMulti-level diabetes interventionsPopulation health

Identifiers

PMID28567711
PMCPMC5553206
OpenAlexW2617994833

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.