| Title |
Online continuing medical education as a key link for successful noncommunicable disease self-management: the CASALUD™ Model
|
|---|---|
| Published in |
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, October 2017
|
| DOI | 10.2147/dmso.s137891 |
| Pubmed ID | |
| Authors |
Héctor Gallardo-Rincón, Rodrigo Saucedo-Martínez, Ricardo Mujica-Rosales, Evan M Lee, Amy Israel, Braulio Torres-Beltran, Úrsula Quijano-González, Elena Rose Atkinson, Pablo Kuri-Morales, Roberto Tapia-Conyer |
| Abstract |
The purpose of this study is to evaluate how the benefits of online continuing medical education (CME) provided to health care professionals traveled along a patient "educational chain". In this study, the educational chain begins with the influence that CME can have on the quality of health care, with subsequent influence on patient knowledge, disease self-management, and disease biomarkers. A total of 422 patients with at least one noncommunicable disease (NCD) treated in eight different Mexican public health clinics were followed over 3 years. All clinics were participants in the CASALUD Model, an NCD care model for primary care, where all clinic staff were offered CME. Data were collected through a questionnaire on health care, patient disease knowledge, and self-management behaviors; blood samples and anthropometric measurements were collected to measure patient disease biomarkers. Between 2013 and 2015, the indexes measuring quality of health care, patient health knowledge, and diabetes self-management activities rose moderately but significantly (from 0.54 to 0.64, 0.80 to 0.84, and 0.62 to 0.67, respectively). Performing self-care activities - including owning and using a glucometer and belonging to a disease support group - saw the highest increase (from 0.65 to 0.75). A1C levels increased between 2013 and 2015 from 7.95 to 8.41% (63-68 mmol/mol) (P<0.001), and blood pressure decreased between 2014 and 2015 from 143.7/76.8 to 137.5/74.4 (systolic/diastolic reported in mmHg) (P<0.001). The mean levels of other disease biomarkers remained statistically unchanged, despite the improvements seen in the previous "links" of the educational chain. Online CME can effect certain changes in the educational chain linking quality of health care, patient knowledge, and self-management behaviors. However, in order to assure adequate NCD control, the entire health care system must be improved in tandem. Online CME programs, such as CASALUD's, are feasible strategies for impacting changes in disease self-management at a clinic level throughout a country. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Peru | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Master | 9 | 12% |
| Other | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 16 | 21% |
| Unknown | 24 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Nursing and Health Professions | 10 | 13% |
| Social Sciences | 7 | 9% |
| Psychology | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 25 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 November 2017.
All research outputs
#15,315,638
of 25,604,262 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#444
of 1,193 outputs
Outputs of similar age
#172,910
of 331,843 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#7
of 9 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,193 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 59% of its peers.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.