Self-management activities in diabetes care: a systematic review

2013 ◽  
Vol 37 (4) ◽  
pp. 513 ◽  
Author(s):  
Meaghan E. Coyle ◽  
Karen Francis ◽  
Ysanne Chapman

Objective To identify the range of self-management activities people diagnosed with diabetes engage in to manage their disease, the frequency of use, and whether self-management practices change over time. Methods A systematic review of the literature was undertaken. Thirty-two studies identified through electronic databases met the inclusion criteria and were included in the review. Results The study found that people living with diabetes undertake regular self-management activities and that compliance with medication regimes is high. Adherence, however, varied with respect to blood glucose testing, diet, physical activity and foot care. Levels of physical activity were not found to change over time. Evidence suggests that some people with diabetes modify their self-management practices in response to factors such as holidays. Conclusions The review suggests that the majority of people with diabetes self-manage, although there is variation in adherence to key self-management activities. How self-management practices change over time and whether this impacts on health outcomes is an area for future research. What is known about the topic? Self-management is key to diabetes control; however, many papers have described adherence as variable. Although there is a growing body of knowledge on adherence to self-management strategies, the question of whether self-management practices change over time has not been explored. What does this paper add? This review found that adherence to medication regimes was highest of all self-management strategies, whereas considerable variation exists for self-monitoring of blood glucose, dietary changes, physical activity and foot care. The findings suggest that adherence varies under special circumstances; however, the question of whether self-management practices change over time remains unanswered. What are the implications for practitioners? Continued efforts are necessary to promote awareness of the importance of diabetes self-management and adherence to regular self-care.

1995 ◽  
Vol 21 (4) ◽  
pp. 300-307 ◽  
Author(s):  
Sarah E. Hampson ◽  
Russell E. Glasgow ◽  
Lyn S. Foster

The purpose of this study was to test whether older patients' personal models of diabetes predict their levels of self-management activities (dietary intake, physical activity, and blood glucose testing) and glycemic control. The Personal Models of Diabetes Interview (PMDI) was administered on two occasions to 78 patients (≥60 years) with non- insulin-dependent diabetes mellitus. Self-management behaviors, quality of life, and affect were assessed on the second occasion and at 4 months. Glycemic control was assessed at 4 months. Three constructs of the PMDI (cause, treatment effectiveness, and seriousness) were correlated significantly with several aspects of quality of life and with negative affect. Personal models, especially beliefs regarding treatment effectiveness, were predictive of dietary intake and physical activity but not blood glucose testing. Assessing patients' personal models is valuable for individualizing education and counseling for nutrition and physical activity, and selecting strategies consistent with patients' perspectives.


2020 ◽  
Author(s):  
Anthony Pease ◽  
Clement Lo ◽  
Arul Earnest ◽  
Velislava Kiriakova ◽  
Danny Liew ◽  
...  

<b>Background: </b>Time-in-range is a key glycaemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. <p><b> </b></p> <p><b>Purpose: </b>We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycaemic ranges.</p> <p> </p> <p><b>Data sources: </b>We searched All Evidenced Based Medicine Reviews, CINAHL, EMBASE, MEDLINE, MEDLINE In-Process and other non-indexed citations, PROSPERO, PsycINFO, PubMed, and Web of Science until 24 April, 2019.</p> <p> </p> <p><b>Study selection: </b>We included randomised controlled trials <u>></u>2 weeks duration comparing technologies for management of type 1 diabetes in adults (<u>></u>18 years of age), excluding pregnant women. </p> <p> </p> <p><b>Data extraction: </b>Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9–10.0mmol/l (70–180mg/dL), >10.0mmol/L (180mg/dL), and <3.9mmol/L (70mg/dL). </p> <p><b> </b></p> <p><b>Data synthesis: </b>We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed loop systems lead to greater percent time-in-range than any other management strategy and was 17.85 (95% predictive interval [PrI] 7.56–28.14) higher than usual care of multiple daily injections with capillary glucose testing. Closed loop systems ranked best for percent time-in-range or above range utilising surface under the cumulative ranking curve (SUCRA–98.5 and 93.5 respectively). Closed loop systems also ranked highly for time below range (SUCRA–62.2). </p> <p><b> </b></p> <p><b>Limitations: </b>Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low.</p> <p><b> </b></p> <p><b>Conclusions: </b>In the first integrated comparison of multiple management strategies considering time-in-range, we found that the efficacy of closed loop systems appeared better than all other approaches. </p>


2021 ◽  
pp. bjsports-2020-103140
Author(s):  
Rodney K Dishman ◽  
Cillian P McDowell ◽  
Matthew Payton Herring

ObjectiveTo explore whether physical activity is inversely associated with the onset of depression, we quantified the cumulative association of customary physical activity with incident depression and with an increase in subclinical depressive symptoms over time as reported from prospective observational studies.DesignSystematic review and meta-analysis.Data sourcesMEDLINE, PsycINFO, PsycARTICLES and CINAHL Complete databases, supplemented by Google Scholar.Eligibility criteriaProspective cohort studies in adults, published prior to January 2020, reporting associations between physical activity and depression.Study appraisal and synthesisMultilevel random-effects meta-analysis was performed adjusting for study and cohort or region. Mixed-model meta-regression of putative modifiers.ResultsSearches yielded 111 reports including over 3 million adults sampled from 11 nations in five continents. Odds of incident cases of depression or an increase in subclinical depressive symptoms were reduced after exposure to physical activity (OR, 95% CI) in crude (0.69, 0.63 to 0.75; I2=93.7) and adjusted (0.79, 0.75 to 0.82; I2=87.6) analyses. Results were materially the same for incident depression and subclinical symptoms. Odds were lower after moderate or vigorous physical activity that met public health guidelines than after light physical activity. These odds were also lower when exposure to physical activity increased over time during a study period compared with the odds when physical activity was captured as a single baseline measure of exposure.ConclusionCustomary and increasing levels of moderate-to-vigorous physical activity in observational studies are inversely associated with incident depression and the onset of subclinical depressive symptoms among adults regardless of global region, gender, age or follow-up period.


2020 ◽  
Vol 11 (05) ◽  
pp. 769-784
Author(s):  
Ipek Ensari ◽  
Adrienne Pichon ◽  
Sharon Lipsky-Gorman ◽  
Suzanne Bakken ◽  
Noémie Elhadad

Abstract Background Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases and further promote patient engagement. Objectives This study aimed to investigate the additional information that can be gained through direct patient input on poorly understood diseases, beyond what is already documented in the EHR. Methods This was an observational study including two samples with a clinically confirmed endometriosis diagnosis. We analyzed data from 6,925 women with endometriosis using a research app for tracking endometriosis to assess prevalence of self-reported pain problems, between- and within-person variability in pain over time, endometriosis-affected tasks of daily function, and self-management strategies. We analyzed data from 4,389 patients identified through a large metropolitan hospital EHR to compare pain problems with the self-tracking app and to identify unique data elements that can be contributed via patient self-tracking. Results Pelvic pain was the most prevalent problem in the self-tracking sample (57.3%), followed by gastrointestinal-related (55.9%) and lower back (49.2%) pain. Unique problems that were captured by self-tracking included pain in ovaries (43.7%) and uterus (37.2%). Pain experience was highly variable both across and within participants over time. Within-person variation accounted for 58% of the total variance in pain scores, and was large in magnitude, based on the ratio of within- to between-person variability (0.92) and the intraclass correlation (0.42). Work was the most affected daily function task (49%), and there was significant within- and between-person variability in self-management effectiveness. Prevalence rates in the EHR were significantly lower, with abdominal pain being the most prevalent (36.5%). Conclusion For enigmatic diseases, patient self-tracking as an additional data source complementary to EHR can enable learning from the patient to more accurately and comprehensively evaluate patient health history and status.


RMD Open ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e001647
Author(s):  
Andréa Marques ◽  
Eduardo Santos ◽  
Elena Nikiphorou ◽  
Ailsa Bosworth ◽  
Loreto Carmona

ObjectiveTo perform a systematic review (SR) on the effectiveness of self-management interventions, in order to inform the European League Against Rheumatism Recommendations for its implementation in patients with inflammatory arthritis (IA).MethodsThe SR was conducted according to the Cochrane Handbook and included adults (≥18 years) with IA. The search strategy was run in Medline through PubMed, Embase, Cochrane Library, CINAHL Plus with Full Text, and PEDro. The assessment of risk of bias, data extraction and synthesis were performed by two reviewers independently. A narrative Summary of Findings was provided according to the Grading of Recommendations, Assessment, Development and Evaluation.ResultsFrom a total 1577 references, 57 were selected for a full-text review, and 32 studies fulfilled the inclusion criteria (19 randomised controlled trials (RCTs) and 13 SRs). The most studied self-management components were specific interactive disease education in ten RCTs, problem solving in nine RCTs, cognitive–behavioural therapy in eight RCTs, goal setting in six RCTs, patient education in five RCTs and response training in two RCTs. The most studied interventions were multicomponent or single exercise/physical activity in six SRs, psychosocial interventions in five SRs and education in two SRs. Overall, all these specific components and interventions of self-management have beneficial effects on IAs-related outcomes.ConclusionsThe findings confirm the beneficial effect of the self-management interventions in IA and the importance of their implementation. Further research should focus on the understanding that self-management is a complex intervention to allow the isolation of the effectiveness of its different components.


Author(s):  
Kathryn E. Wilson ◽  
Andrew Corbett ◽  
Andrew Van Horn ◽  
Diego Guevara Beltran ◽  
Jessica D. Ayers ◽  
...  

Background: Physical activity (PA) mitigated psychological distress during the initial weeks of the COVID-19 pandemic, yet not much is known about whether PA had effects on stress in subsequent months. We examined the relationship between change over time in COVID-related stress and self-reported change in PA between March and July 2020. Methods: Latent growth modeling was used to examine trajectories of change in pandemic-related stress and test their association with self-reported changes in PA in an international sample (n = 679). Results: The participants reported a reduction in pandemic-related stress between April and July of 2020. Significant linear (factor mean = −0.22) and quadratic (factor mean = 0.02) changes (Ps < .001) were observed, indicating a deceleration in stress reduction over time. Linear change was related to change in PA such that individuals who became less active during the pandemic reported less stress reduction over time compared with those who maintained or increased their PA during the pandemic. Conclusions: Individuals who experienced the greatest reduction in stress over time during the pandemic were those who maintained their activity levels or became more active. Our study cannot establish a causal relationship between these variables, but the findings are consistent with other work showing that PA reduces stress.


2000 ◽  
Vol 31 (2) ◽  
pp. 365-379 ◽  
Author(s):  
Brian E. Saelens ◽  
Christine A. Gehrman ◽  
James F. Sallis ◽  
Karen J. Calfas ◽  
Julie A. Sarkin ◽  
...  

2021 ◽  
Vol 31 (4) ◽  
pp. 11
Author(s):  
Siska Puji Lestari ◽  
Titin Andri Wihastuti ◽  
Dina Dewi Sartika Lestari Ismail

<p>Diabetes mellitus is a health problem that will affect the health status of patients. Motivational interviewing a counseling technique focusing on clients and it is designed for helping individuals explore and accomplish ambivalence in behavior. This systematic review aimed at describing effectiveness motivationaI interviewing on self-management of diabetes mellitus type 2 patients. There are 1359 articles of 526 ScienceDirect articles, 422 ProQuest, 290 PubMed, and 121 Ebsco articles. The systematic review method began by identifying 20 articles from four electronic databases for previous studies that were published during 2011-2021. The results of the systematic review obtained that motivational interviewing can provide improved self-management and control blood glucose DM type 2 patients. The conclusion motivational interviewing can affect the patient's self-management especially on blood glucose profile, dietary compliance, quality of life, self-efficacy, HbA1c levels of DM type 2 patients.</p>


2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.


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