Next Article in Journal
Contemporary Biomarkers for Renal Transplantation: A Narrative Overview
Previous Article in Journal
Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Rivera-Picón et al. Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus. J. Pers. Med. 2023, 13, 269

by
Cristina Rivera-Picón
1,
María Hinojal Benavente-Cuesta
1,
María Paz Quevedo-Aguado
1,
Juan Luis Sánchez-González
2,* and
Pedro Manuel Rodríguez-Muñoz
2,3
1
Faculty of Health Sciences, Nursing, Pontifical University of Salamanca, 37002 Salamanca, Spain
2
Faculty of Nursing and Physiotherapy, University of Salamanca, 37008 Salamanca, Spain
3
Department of Nursing, Instituto Maimónides de Investigación Biomédica de Córboda, 14005 Córdoba, Spain
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2023, 13(8), 1215; https://doi.org/10.3390/jpm13081215
Submission received: 5 July 2023 / Accepted: 24 July 2023 / Published: 31 July 2023

Text Correction

There was an error in the original publication [1] “Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus”.
The Morisky, Green, and Levine scale (MGL) was used in the study, not the MMAS-4 as initially indicated. The term “4-item Morisky medication adherence scale” on Abstract and Section 2.3.2 needs to be replaced with “Morisky, Green, and Levine Medication Adherence Scale”.
A correction has been made to the Abstract and Section 2.3.2.
Abstract: We aim to identify the factors that influence the therapeutic adherence of subjects with chronic disease. The design followed in this work was empirical, not experimental, and cross-sectional with a correlational objective. The sample consisted of a total of 400 subjects (199 patients with HIV and 201 patients with diabetes mellitus). The instruments applied for data collection were a sociodemographic data questionnaire; the Morisky, Green, and Levine Medication Adherence Scale (MGL); and the Coping Strategies Questionnaire. In the group of subjects with HIV, the use of emotional coping strategies was related to lower adherence to treatment. On the other hand, in the group of subjects with diabetes mellitus, the variable related to compliance with treatment was the duration of illness. Therefore, the predictive factors of adherence to treatment were different in each chronic pathology. In the group of subjects with diabetes mellitus, this variable was related to the duration of the disease. In the group of subjects with HIV, the type of coping strategy used predicted adherence to treatment. From these results, it is possible to develop health programs to promote issues ranging from nursing consultations to the adherence and treatment of patients with HIV and diabetes mellitus.
2.3.2. Morisky, Green, and Levine Medication Adherence Scale (MGL)
This questionnaire was originally developed by Morisky et al. (1986) under the name the “Morisky, Green, and Levine Medication Adherence Scale (MGL)”. The Spanish version of this questionnaire was validated by Val-Jiménez et al. (1992). The scale is made up of four questions with a dichotomous response format (Yes/No), reflecting the patient’s behavior regarding compliance. A patient shows good adherence to treatment when he/she correctly answers the four questions (No/Yes/No/No) and presents poor adherence if he/she answers three or fewer questions adequately. Therefore, through this questionnaire, patients are categorized as adherent to treatment or nonadherent to treatment [30].
Originally, the questionnaire had adequate psychometric properties with high discrimination (ρbp = 0.43), high sensitivity (sensitivity = 0.81), and low specificity (specificity = 0.44). In Spain, this test was validated by Val-Jiménez et al. (1992) using a sample of hypertensive patients. The sensitivity was somewhat lower, while the specificity value was practically the same (sensitivity = 0.52, specificity = 0.44).
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Rivera-Picón, C.; Benavente-Cuesta, M.H.; Quevedo-Aguado, M.P.; Sánchez-González, J.L.; Rodríguez-Muñoz, P.M. Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus. J. Pers. Med. 2023, 13, 269. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Rivera-Picón, C.; Benavente-Cuesta, M.H.; Quevedo-Aguado, M.P.; Sánchez-González, J.L.; Rodríguez-Muñoz, P.M. Correction: Rivera-Picón et al. Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus. J. Pers. Med. 2023, 13, 269. J. Pers. Med. 2023, 13, 1215. https://doi.org/10.3390/jpm13081215

AMA Style

Rivera-Picón C, Benavente-Cuesta MH, Quevedo-Aguado MP, Sánchez-González JL, Rodríguez-Muñoz PM. Correction: Rivera-Picón et al. Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus. J. Pers. Med. 2023, 13, 269. Journal of Personalized Medicine. 2023; 13(8):1215. https://doi.org/10.3390/jpm13081215

Chicago/Turabian Style

Rivera-Picón, Cristina, María Hinojal Benavente-Cuesta, María Paz Quevedo-Aguado, Juan Luis Sánchez-González, and Pedro Manuel Rodríguez-Muñoz. 2023. "Correction: Rivera-Picón et al. Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus. J. Pers. Med. 2023, 13, 269" Journal of Personalized Medicine 13, no. 8: 1215. https://doi.org/10.3390/jpm13081215

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop