Evidence map›Paper›PMID 25434420›Full record

ArticleBMC endocrine disorders2014

The association between improved quality diabetes indicators, health outcomes and costs: towards constructing a "business case" for quality of diabetes care--a time series study.

Rachel Wilf-Miron, Arkadi Bolotin, Nesia Gordon, Avi Porath, Ronit Peled

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Article in BMC endocrine disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Rachel Wilf-Miron
Arkadi Bolotin
Nesia Gordon
Avi Porath
Ronit PeledDepartment of Health Systems Management, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel. ronitpeled@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn primary health care systems where member's turnover is relatively low, the question, whether investment in quality of care improvement can make a business case, or is cost effective, has not been fully answered.The objectives of this study were: (1) to investigate the relationship between improvement in selected measures of diabetes (type 2) care and patients' health outcomes; and (2) to estimate the association between improvement in performance and direct medical costs.

methodsA time series study with three quality indicators - Hemoglobin A1c (HbA1c) testing, HbA1C and LDL- cholesterol (LDL-C) control - which were analyzed in patients with diabetes, insured by a large health fund. Health outcomes measures used: hospitalization days, Emergency Department (ED) visits and mortality. Poisson, GEE and Cox regression models were employed. Covariates: age, gender and socio-economic rank.

results96,553 adult (age >18) patients with diabetes were analyzed. The performance of the study indicators, significantly and steadily improved during the study period (2003-2009). Poor HbA1C (>9%) and inappropriate LDL-C control (>100 mg/dl) were significantly associated with number of hospitalization days. ED visits did not achieve statistical significance. Improvement in HbA1C control was associated with an annual average of 2% reduction in hospitalization days, leading to substantial reduction in tertiary costs. The Hazard ratio for mortality, associated with poor HbA1C and LDL-C, control was 1.78 and 1.17, respectively.

conclusionOur study demonstrates the effect of continuous improvement in quality care indicators, on health outcomes and resource utilization, among patients with diabetes. These findings support the business case for quality, especially in healthcare systems with relatively low enrollee turnover, where providers, in the long term, could "harvest" their investments in improving quality.

Indexed as

AgedCholesterol, LDLCost-Benefit AnalysisDiabetes MellitusEmergency Medical ServicesFemaleFollow-Up StudiesGlycated HemoglobinHealth Services ResearchHospitalizationHumansIsraelMaleMiddle AgedOutcome and Process Assessment, Health CarePrimary Health CareCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID25434420
PMCPMC4265437

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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.