| Title |
A set of four simple performance measures reflecting adherence to guidelines predicts hospitalization: a claims-based cohort study of patients with diabetes
|
|---|---|
| Published in |
Patient preference and adherence, March 2016
|
| DOI | 10.2147/ppa.s99895 |
| Pubmed ID | |
| Authors |
Carola A Huber, Michael Brändle, Roland Rapold, Oliver Reich, Thomas Rosemann |
| Abstract |
The link between guideline adherence and outcomes is a highly demanded issue in diabetes care. We aimed to assess the adherence to guidelines and its impact on hospitalization using a simple set of performance measures among patients with diabetes. We performed a retrospective cohort study, using health care claims data for adult patients with treated diabetes (2011-2013). Patients were categorized into three drug treatment groups (with oral antidiabetic agents [OAs] only, in combination with insulin, and insulin only). Performance measures were based on international established guidelines for diabetes care. Multivariate logistic regression models predicted the probability of hospitalization (2013) by adherence level (2011) among all treatment groups. A total of 40,285 patients with diabetes were enrolled in 2011. Guideline adherence was quite low: about 70% of all patients received a biannual hemoglobin A1c measurement and 19.8% had undergone an annual low-density lipoprotein cholesterol test. Only 4.8% were exposed to full adherence including all performance measures (OAs: 3.7%; insulin: 7.7%; and in combination: 7.2%). Increased guideline adherence was associated with decreased probability of hospitalization. This effect was strongest in patients using OAs and insulin in combination. Our study showed that measures to reflect physicians' guideline adherence in diabetes care can easily be calculated based on already available datasets. Furthermore, these measures are clearly linked with the probability of hospitalization suggesting that a better guideline adherence by physicians could help to prevent a large number of hospitalizations. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Other | 5 | 14% |
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Postgraduate | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 50% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 14% |
| Nursing and Health Professions | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2016.
All research outputs
#20,294,544
of 25,806,080 outputs
Outputs from Patient preference and adherence
#1,301
of 1,769 outputs
Outputs of similar age
#217,727
of 313,544 outputs
Outputs of similar age from Patient preference and adherence
#46
of 62 outputs
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