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      The impact of a self-management educational program coordinated through WhatsApp on diabetes control

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          Abstract

          Background:

          Social media can effectively mediate digital health interventions and thus, overcome barriers associated with face-to-face interaction.

          Objective:

          To assess the impact of patient-centered diabetes education program administered through WhatsApp on glycosylated hemoglobin (HbA1c) values, assess the correlation, if any, between health literacy and numeracy on intervention outcomes

          Methods:

          During an ‘intervention phase’ spread over six months, target diabetic patients (N=109) received structured education through WhatsApp as per the American Association of Diabetes Educators Self-Care Behaviors recommendations. The control group with an equal number of participants received ‘usual care’ provided by health professionals void of the social media intervention. Changes in HbA1c levels were recorded thrice (at baseline, 3 and 6 months) for the test group and twice (baseline and 6 months) for the control group. Change in HbA1c values were compared and statistical significance was defined at p<0.05. Baseline health literacy and diabetes numeracy were assessed for both groups (N=218) using the Literacy Assessment for Diabetes (LAD), and the Diabetes Numeracy Test (DNT), respectively, and values were correlated with HbA1c change p<0.05. Participants’ satisfaction with the intervention was also assessed.

          Results:

          The average age of respondents was 41.98 (SD 15.05) years, with a diabetes history of 10.2 (SD 8.5) years. At baseline, the average HbA1c in the control and test groups were 8.4 (SD 1.06) and 8.5 (SD 1.29), respectively. After six months, a significant drop in HbA1c value was noticed in intervention group (7.7; SD 1.35; p= 0.001); with no significance in the control group (8.4; SD 1.32; p=0.032, paired t-test). Moreover, the reduction in HbA1c was more in the test group (0.7%) than the control group (0.1%) with a difference of 0.6% which is considered clinically significant. There was no significant correlation between LAD score and HbA1c at baseline (r=-0.203, p=0.064), 3 months (r=-0.123, p=0.266) and 6 months (r=-0.106, p= 0.337) Pearson correlation. A similar result was observed with DNT, where DNT score and HbA1c at baseline, 3 months and 6 months showed no correlation (r=0.112, 0.959 and 0.886; respectively) with HbA1c levels. Eighty percent of the respondents found the social media intervention ‘beneficial’ and suggested it be used long term.

          Conclusions:

          Diabetes education via WhatsApp showed promising outcomes regardless of the level of patients’ health literacy or numeracy.

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          Most cited references38

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          Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews

          Background Diabetes is a common chronic disease that places an unprecedented strain on health care systems worldwide. Mobile health technologies such as smartphones, mobile applications, and wearable devices, known as mHealth, offer significant and innovative opportunities for improving patient to provider communication and self-management of diabetes. Objective The purpose of this overview is to critically appraise and consolidate evidence from multiple systematic reviews on the effectiveness of mHealth interventions for patients with diabetes to inform policy makers, practitioners, and researchers. Methods A comprehensive search on multiple databases was performed to identify relevant systematic reviews published between January 1996 and December 2015. Two authors independently selected reviews, extracted data, and assessed the methodological quality of included reviews using AMSTAR. Results Fifteen systematic reviews published between 2008 and 2014 were eligible for inclusion. The quality of the reviews varied considerably and most of them had important methodological limitations. Focusing on systematic reviews that offered the most direct evidence, this overview demonstrates that on average, mHealth interventions improve glycemic control (HbA1c) compared to standard care or other non-mHealth approaches by as much as 0.8% for patients with type 2 diabetes and 0.3% for patients with type 1 diabetes, at least in the short-term (≤12 months). However, limitations in the overall quality of evidence suggest that further research will likely have an important impact in these estimates of effect. Conclusions Findings are consistent with clinically relevant improvements, particularly with respect to patients with type 2 diabetes. Similar to home telemonitoring, mHealth interventions represent a promising approach for self-management of diabetes.
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            Health literacy measurement: an inventory and descriptive summary of 51 instruments.

            This article aimed to provide a descriptive review of the psychometric properties and conceptual dimensions of published health literacy measurement tools. PsycINFO and PubMed search from 1999 through 2013, review of the grey literature, and an environmental scan was conducted to identify health literacy measurement tools. For each tool, we evaluated the conceptual dimensions assessed, test parameters, and psychometric properties. Of the 51 tools identified, 26 measured general health literacy, and 15 were disease or content specific, and 10 aimed at specific populations. Most tools are performance based, require in-person administration, and are exclusively available in a pencil and paper testing mode. The tools assess 0 (proxy measure) to 9 of the 11 defined dimensions of health literacy. Reported administration times vary, from less than 1 to 60 minutes. Validation procedures for most of the tools are limited by inadequate power to ensure reliability across subgroups (i.e., race, age, ethnicity, and gender). The health literacy measurement tools currently available generally represent a narrow set of conceptual dimensions with limited modes of administration. Most of the tools lack information on key psychometric properties. Significant work is needed to establish important aspects of the construct, convergent, and predictive validity for many tools. As researchers develop new measures, inclusion of a full range of conceptual dimensions of health literacy, more representative sampling for testing, and additional modes of administration will allow a more refined and flexible approach to research in this field.
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              Interventions used in disease management programmes for patients with chronic illness-which ones work? Meta-analysis of published reports.

              To systematically evaluate the published evidence regarding the characteristics and effectiveness of disease management programmes. Meta-analysis. Computerised databases for English language articles during 1987-2001. 102 articles evaluating 118 disease management programmes. Pooled effect sizes calculated with a random effects model. Patient education was the most commonly used intervention (92/118 programmes), followed by education of healthcare providers (47/118) and provider feedback (32/118). Most programmes (70/118) used more than one intervention. Provider education, feedback, and reminders were associated with significant improvements in provider adherence to guidelines (effect sizes (95% confidence intervals) 0.44 (0.19 to 0.68), 0.61 (0.28 to 0.93), and 0.52 (0.35 to 0.69) respectively) and with significant improvements in patient disease control (effect sizes 0.35 (0.19 to 0.51), 0.17 (0.10 to 0.25), and 0.22 (0.1 to 0.37) respectively). Patient education, reminders, and financial incentives were all associated with improvements in patient disease control (effect sizes 0.24 (0.07 to 0.40), 0.27 (0.17 to 0.36), and 0.40 (0.26 to 0.54) respectively). All studied interventions were associated with improvements in provider adherence to practice guidelines and disease control. The type and number of interventions varied greatly, and future studies should directly compare different types of intervention to find the most effective.
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                Author and article information

                Contributors
                Journal
                Pharm Pract (Granada)
                Pharm Pract (Granada)
                Pharmacy Practice
                Centro de Investigaciones y Publicaciones Farmaceuticas
                1885-642X
                1886-3655
                Apr-Jun 2020
                03 May 2020
                : 18
                : 2
                : 1841
                Affiliations
                PhD. Associate Professor. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University . Ajman (United Arab Emirates). m.alomar@ 123456ajman.ac.ae
                PhD. Associate Professor. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University . Ajman (United Arab Emirates). s.hasan@ 123456ajman.ac.ae
                PhD. Associate Professor. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University . Ajman (United Arab Emirates). s.palaian@ 123456ajman.ac.ae
                MSc. Research Assistant. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University . Ajman (United Arab Emirates). s.mahameed@ 123456ajman.ac.ae
                Author information
                https://orcid.org/0000-0001-6526-2253
                https://orcid.org/0000-0002-3043-0322
                https://orcid.org/0000-0002-9323-3940
                https://orcid.org/0000-0001-5950-9344
                Article
                pharmpract-18-1841
                10.18549/PharmPract.2020.2.1841
                7243744
                32477434
                72aba0a8-a45a-47bc-85b2-c24d470931c6
                Copyright: © Pharmacy Practice

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 February 2020
                : 26 April 2020
                Funding
                Funded by: Ajman University
                Award ID: CRG-A-2018-PH-01
                Categories
                Original Research

                social media,patient education as topic,self care,health literacy,patient-centered care,personal satisfaction,diabetes mellitus,glycated hemoglobin a,non-randomized controlled trials as topic,united arab emirates

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