Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis

BACKGROUND

Telemonitoring for the remote patient self-management of chronic conditions can be a cost-effective method for delivering care in chronic disease; nonetheless, its implementation in clinical practice remains low. The aim of this meta-synthesis is to explore barriers and facilitators associated with the use of remote patient monitoring of chronic disease, drawing on qualitative research, and assessing participant interactions with this technology.

METHOD

A meta-synthesis of qualitative studies was performed. MEDLINE, SCOPUS and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched from database date of inception to 5 February 2021. The Critical Appraisal Skills Programme (CASP) was used to critically appraise each study. Thematic synthesis was performed to identify user (patients, carers and healthcare professionals) perspectives and experiences of patient remote monitoring of chronic disease (Type 2 diabetes mellitus, chronic obstructive pulmonary disease, and cardiovascular disease).

RESULTS

Searches returned 10,401 studies and following independent screening by two reviewers, nine studies were included in this meta-synthesis. Data were synthesised and categorised into four key themes: (1) Improved care; (2) Communication; (3) Technology feasibility & acceptability; and (4) Intervention concerns. Most patients using patient remote devices felt motivated in managing their own lifestyles and felt reassured by the close monitoring and increased communication. Barriers identified involved generational differences and difficulties with the technology used.

CONCLUSION

Most studies showed a positive attitude to telemonitoring, with patients preferring the convenience of telemonitoring in comparison to attending regular clinics. Further research is required to assess the most effective technology for chronic disease management, how to maintain long-term patient adherence, and identify effective approaches to address generational variation in telemonitoring up-take.

Effectiveness of telemonitoring intervention on glycaemic control in patients with type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a rising global health concern that requires long-term treatment and close monitoring. Telemonitoring has been shown to be a promising tool to facilitate patient-physician interaction and improve glycaemic control.

METHOD

Randomised controlled trials (RCT) of telemonitoring in T2DM published between 1990 and 2021 were searched through multiple electronic databases. The primary outcome variables included HbA1c and fasting blood glucose (FBG), and BMI was a secondary outcome variable.

RESULTS

Thirty RCT with a total of 4,678 participants were included in this study. Twenty-six studies reported on HbA1c, which was shown to be significantly lower in participants on telemonitoring when compared to conventional care. Ten studies investigated FBG which collectively showed no statistically significant difference. Subgroup analysis demonstrated the effect of telemonitoring on glycaemic control is influenced by a range of factors concerning system practicality, user engagement, patient characteristics and disease education.

CONCLUSION

Telemonitoring exhibited a great potential to improve T2DM management. Several technical features and patient factors may influence the effectiveness of telemonitoring. Further studies are needed to verify the findings and address limitations before its implementation into routine practice.

SMS texting for uncontrolled diabetes among persons experiencing homelessness: Study protocol for a randomized trial

BACKGROUND

Diabetes mellitus (DM) is common among persons experiencing homelessness (PEH), often inadequately managed, and carries significant costs. mHealth strategies including short messaging service (SMS) texting have been feasible and acceptable, and improved control of chronic diseases including DM. SMS strategies for DM have not been tested among PEH despite the accessibility of mobile phones. We propose an SMS strategy could offer better communication, education, and information management; improve outreach; facilitate care coordination; explore barriers to care; and support behavior changes.

METHODS AND ANALYSIS

This mixed-methods (RCT and qualitative) study will be implemented in shelter-clinics in New York City in collaboration with community organizations, allowing for sustainability and scalability. Aim 1 will evaluate the efficacy of a 6-month SMS program for DM management versus an attention control on changes in HbA1c and adherence to DM self-care activities, medications, and appointments at 9 months in adult PEH with uncontrolled DM (n = 100). Outcomes will be measured at 0, 3, 6, &9 months. AIM 2 will assess patients' and providers' attitudes, acceptability, and experience of the program through semi-structured interviews with PEH (n = 20) and providers (n = 10).

DISCUSSION

DM is not well-addressed among PEH. SMS strategies for DM have never been tested in PEH despite evidence of their effectiveness and access to mobile phones among PEH. Results from this study will provide important empirical data to inform evidence-based strategies to avert personal suffering and significant costs. It will have broader policy implications in control of DM and other chronic diseases.

Evaluation of the Effectiveness of Telehealth Chronic Disease Management System: A Systematic Review and Meta-Analysis (Preprint)

BACKGROUND

Long-term daily health monitoring and management play a more significant role in telehealth management systems nowadays, which require evaluation indicators to present patients' general health conditions and become applicable to multiple chronic diseases.

OBJECTIVE

This study aims to evaluate the effectiveness of subjective indicators of telehealth chronic disease management system (TCDMS).

METHODS

We selected Web of Science, ScienceDirect, Scopus, Cochrane library, IEEE, and Chinese National Knowledge Infrastructure and Wanfang, a Chinese medical database, and searched papers published from January 1, 2015, to July 1, 2022, regarding randomized controlled trials on the effectiveness of the telehealth system on patients with chronic diseases. The narrative review summarized the questionnaire indicators presented in the selected studies. In the meta-analysis, Mean Difference (MD) and Standardized Mean Difference (SMD) with a 95% CI were pooled depending on whether the measurements were the same. Subgroup analysis was conducted if the heterogeneity was significant, and the number of studies was sufficient.

RESULTS

Twenty RCTs with 4153 patients were included in the qualitative review. Seventeen different questionnaire-based outcomes were found, within which quality of life, psychological well-being (including depression, anxiety, and fatigue), self-management, self-efficacy, and medical adherence were most frequently used. Ten RCTs with 2095 patients remained in meta-analysis. Compared to usual care, telehealth system can significantly improve the quality of life (SMD 0.44; 95% CI 0.16-0.73; P=.002), whereas no significant effects were found on depression (SMD -0.25; 95% CI -0.72 to 0.23; P=.30), anxiety (SMD -0.10; 95% CI -0.27 to 0.07; P=.71), fatigue (SMD -0.36; 95% CI -1.06 to 0.34; P<.001), and self-care (SMD 0.77; 95% CI -0.28-1.81; P<.001). In the subdomains of quality of life, telehealth statistically significantly improved physical functioning (SMD 0.15; 95% CI 0.02 to 0.29; P=.03), mental functioning (SMD 0.37; 95% CI 0.13-0.60; P=.002), and social functioning (SMD 0.64; 95% CI 0.00-1.29; P=.05), while there was no difference on cognitive functioning (MD 8.31; 95% CI -7.33 to 23.95; P=.30) and role functioning (MD 5.30; 95% CI -7.80 to 18.39; P=.43).

CONCLUSIONS

TCDMS positively affected patients' physical, mental, and social quality of life across multiple chronic diseases. However, no significant difference was found in depression, anxiety, fatigue, and self-care. Subjective questionnaires had the potential ability to evaluate the effectiveness of long-term telehealth monitoring and management. However, further well-designed experiments are warranted to validate TCDMS's effects on subjective outcomes, especially when tested among different chronically ill groups.

Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice

BACKGROUND

Patient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

OBJECTIVES

To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care.

SEARCH METHODS

We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field.

SELECTION CRITERIA

Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information.

DATA COLLECTION AND ANALYSIS

Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible.

MAIN RESULTS

We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion.

AUTHORS' CONCLUSIONS

PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials

COVID-19 pandemic challenges have accelerated the reliance on digital health fuelling the expanded incorporation of mobile apps into healthcare services, particularly for the management of long-term conditions such as chronic diseases (CDs). However, the impact of health apps on outcomes for CD remains unclear, potentially owing to both the poor adoption of formal development standards in the design process and the methodological quality of studies. A systematic search of randomised trials was performed on Medline, ScienceDirect, the Cochrane Library and Scopus to provide a comprehensive outlook and review the impact of health apps on CD. We identified 69 studies on diabetes (n = 29), cardiovascular diseases (n = 13), chronic respiratory diseases (n = 13), cancer (n = 10) or their combinations (n = 4). The apps rarely adopted developmental factors in the design stage, with only around one-third of studies reporting user or healthcare professional engagement. Apps differed significantly in content, with a median of eight behaviour change techniques adopted, most frequently pertaining to the ‘Feedback and monitoring’ (91%) and ‘Shaping knowledge’ (72%) categories. As for the study methodologies, all studies adopted a traditional randomised control trial (RCT) design, with relatively short follow-ups and limited sample sizes. Findings were not significant for the majority of studies across all CD, with most RCTs revealing a high risk of bias. To support the adoption of apps for CD management, this review reinforces the need for more robust development and appropriate study characteristics to sustain evidence generation and elucidate whether study results reflect the true benefits of apps or a biased estimate due to unsuitable designs.

Utilization of telehealth for outpatient diabetes management during COVID-19 pandemic: how did the patients fare?

Background

During the Coronavirus disease 2019 (COVID‐19) pandemic, many outpatient services at public hospitals, including diabetes services, had adopted telehealth appointments for their clinic patients. There was concern that patients' glycaemic control may worsen during the pandemic.

Aim

To assess glycaemic control of patients with diabetes attending telehealth consultations in 2020, compared to face‐to‐face reviews prior to pandemic.

Methods

We conducted a retrospective review of patients with diabetes managed by telehealth consultations over 5 months at two metropolitan hospitals in Sydney. Their attendance rate, glycaemic control and unplanned admissions to hospital were assessed, and these were compared with the same period 12 months prior when patients were reviewed via face‐to‐face appointments.

Results

Between April and September 2020, the attendance rate for telehealth consultation at the diabetes services at the two hospitals was 88.9% (884 out of 994), which was higher than in 2019 (85.2%; 818 out of 959; P = 0.016) when patients attended via face‐to‐face appointments. Of the 629 patients reviewed via telehealth in 2020 and who had been with our service for over 12 months, glycaemic control was better in 2020 (HbA1c 7.8 ± 1.4% (62 ± 15 mmol/mol)) compared with 12 months earlier (8.2 ± 1.7% (66 ± 19 mmol/mol); P < 0.001). There was no difference in the number of unplanned admissions for this cohort in 2020 (n = 58; 9.2%) compared with 2019 (n = 75; 11.9%; P = 0.100).

Conclusions

The present study showed that for patients with diabetes who received care via telehealth consultations during the COVID‐19 lockdown, their glycaemic control was slightly better, and unplanned admission rates were not higher compared with those in the pre‐COVID‐19 period. Telehealth consultation offers an important care delivery option in the management of patients with diabetes under these circumstances.

A Pharmacist and Health Coach-Delivered Mobile Health Intervention for Type 2 Diabetes: Protocol for a Randomized Controlled Crossover Study

Background

Aggressive management of blood glucose, blood pressure, and cholesterol through medication and lifestyle adherence is necessary to minimize the adverse health outcomes of type 2 diabetes. However, numerous psychosocial and environmental barriers to adherence prevent low-income, urban, and ethnic minority populations from achieving their management goals, resulting in diabetes complications. Health coaches working with clinical pharmacists represent a promising strategy for addressing common diabetes management barriers. Mobile health (mHealth) tools may further enhance their ability to support vulnerable minority populations in diabetes management.

Objective

The aim of this study is to evaluate the impact of an mHealth clinical pharmacist and health coach–delivered intervention on hemoglobin A_1c (HbA_1c, primary outcome), blood pressure, and low-density lipoprotein (secondary outcomes) in African-Americans and Latinos with poorly controlled type 2 diabetes.

Methods

A 2-year, randomized controlled crossover study will evaluate the effectiveness of an mHealth diabetes intervention delivered by a health coach and clinical pharmacist team compared with usual care. All patients will receive 1 year of team intervention, including lifestyle and medication support delivered in the home with videoconferencing and text messages. All patients will also receive 1 year of usual care without team intervention and no home visits. The order of the conditions received will be randomized. Our recruitment goal is 220 urban African-American or Latino adults with uncontrolled type 2 diabetes (HbA_1c ≥8%) receiving care from a largely minority-serving, urban academic medical center. The intervention includes the following: health coaches supporting patients through home visits, phone calls, and text messaging and clinical pharmacists supporting patients through videoconferences facilitated by health coaches. Data collection includes physiologic (HbA_1c, blood pressure, weight, and lipid profile) and survey measures (medication adherence, diabetes-related behaviors, and quality of life). Data collection during the second year of study will determine the maintenance of any physiological improvement among participants receiving the intervention during the first year.

Results

Participant enrollment began in March 2017. We have recruited 221 patients. Intervention delivery and data collection will continue until November 2021. The results are expected to be published by May 2022.

Conclusions

This is among the first trials to incorporate health coaches, clinical pharmacists, and mHealth technologies to increase access to diabetes support among urban African-Americans and Latinos to achieve therapeutic goals.

International Registered Report Identifier (IRRID)

DERR1-10.2196/17170

Use of Virtual Care for Glycemic Management in People With Types 1 and 2 Diabetes and Diabetes in Pregnancy: A Rapid Review

Our objective in this study was to answer the main research question: In patients with diabetes, does virtual care vs face-to-face care provide different clinical, patient and practitioner experience or quality outcomes? Articles (2012 to 2020) describing interventions using virtual care with the capability for 2-way, individualized interactions compared with usual care were included. Studies involving any patients with diabetes and outcomes of glycated hemoglobin (A1C), quality of care and/or patient or health-care practitioner experience were included. Systematic reviews, randomized controlled studies, quasi-experimental trials, implementation trials, observational studies and qualitative analyses were reviewed. MEDLINE and McMaster Health Evidence databases searched in June 2020 identified 59 articles. Virtual care, in particular telemonitoring, combined with a means of 2-way communications provided improvement in A1C similar or superior to usual care, with the strongest evidence for type 2 diabetes. Virtual care was generally acceptable to patients, who expressed satisfaction with their care. Health-care providers recognized benefits but raised issues of technical support, workflow and compensation.

Smartphone distraction during nursing care: Systematic literature review

AIM

To investigate the impact of smartphone distraction on the quality and safety of care provided by the nursing population during work.

BACKGROUND

About 80% of nurses use the smartphone in the workplace both for personal purposes and as a useful support to improve the quality of care. Distraction from smartphones during care is a phenomenon that should be known and managed within each health service.

METHODS

A systematic review of the literature was conducted using the PRISMA methodology. The sources included in the review study were subjected to a qualitative assessment using the GRADE method.

RESULTS

Sixteen articles were included in the review. Studies included highlight the positive and negative consequences of using mobile devices during nursing practice. Findings identify the smartphone as a generator of stimuli capable of diverting the attention of the person from the priority activities and absorbing the cognitive resources useful for carrying out these activities. Some studies aimed to show the restriction policies and/or the strategies for reducing disruptions. This review highlights how the free and indiscriminate use of the smartphone can negatively affect patient safety and the nurse-patient relationship through the dehumanization and depersonalization of care.

CONCLUSIONS

Mobile technology can improve nurses' performance and the quality of care provided. However, the application of regulations and policies by healthcare facilities is desirable to avoid inappropriate use of these devices by nurses. The available data do not provide a precise estimate of the effect that distraction from smartphones has on the outcomes of nursing care.

Community health programs delivered through information and communications technology in high-income countries: a scoping review (Preprint)

Background

The COVID-19 pandemic has required widespread and rapid adoption of information and communications technology (ICT) platforms by health professionals. Transitioning health programs from face-to-face to remote delivery using ICT platforms has introduced new challenges.

Objective

The objective of this review is to scope for ICT-delivered health programs implemented within the community health setting in high-income countries and rapidly disseminate findings to health professionals.

Methods

The Joanna Briggs Institute’s scoping review methodology guided the review of the literature.

Results

The search retrieved 7110 unique citations. Each title and abstract was screened by at least two reviewers, resulting in 399 citations for full-text review. Of these 399 citations, 72 (18%) were included. An additional 27 citations were identified through reviewing the reference lists of the included studies, resulting in 99 citations. Citations examined 83 ICT-delivered programs from 19 high-income countries. Variations in program design, ICT platforms, research design, and outcomes were evident.

Conclusions

Included programs and research were heterogeneous, addressing prevalent chronic diseases. Evidence was retrieved for the effectiveness of nurse and allied health ICT-delivered programs. Findings indicated that outcomes for participants receiving ICT-delivered programs, when compared with participants receiving in-person programs, were either equivalent or better. Gaps included a paucity of co-designed programs, qualitative research around group programs, programs for patients and carers, and evaluation of cost-effectiveness. During COVID-19 and beyond, health professionals in the community health setting are encouraged to build on existing knowledge and address evidence gaps by developing and evaluating innovative ICT-delivered programs in collaboration with consumers and carers.

Impact and efficacy of mobile health intervention in the management of diabetes and hypertension: a systematic review and meta-analysis

With the continuous development of science and technology, mobile health (mHealth) intervention has been proposed as a treatment strategy for managing chronic diseases. In some developed countries, mHealth intervention has been proven to remarkably improve both the quality of care for patients with chronic illnesses and the clinical outcomes of these patients. However, the effectiveness of mHealth in developing countries remains unclear. Based on this fact, we conducted this systematic review and meta-analysis to evaluate the impact of mHealth on countries with different levels of economic development. To this end, we searched Pubmed, ResearchGate, Embase and Cochrane databases for articles published from January 2008 to June 2019. All of the studies included were randomized controlled trials. A meta-analysis was performed using the Stata software. A total of 51 articles (including 13 054 participants) were eligible for our systematic review and meta-analysis. We discovered that mHealth intervention did not only play a major role in improving clinical outcomes compared with conventional care, but also had a positive impact on countries with different levels of economic development. More importantly, our study also found that clinical outcomes could be ameliorated even further by combining mHealth with human intelligence rather than using mHealth intervention exclusively. According to our analytical results, mHealth intervention could be used as a treatment strategy to optimize the management of diabetes and hypertension in countries with different levels of economic development.

Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study

Background

Patient-reported outcomes (PROs) are increasingly being used in the management of type 2 diabetes (T2D) to integrate data from patients’ perspective into clinical care. To date, the majority of PRO tools have lacked patient and provider involvement in their development, thus failing to meet the unique needs of end users, and lack the technical infrastructure to be integrated into the clinic workflow.

Objective

This study aims to apply a systematic, user-centered design approach to develop i-Matter (investigating a mobile health [mHealth] texting tool for embedding patient-reported data into diabetes management), a theory-driven, mobile PRO system for patients with T2D and their primary care providers.

Methods

i-Matter combines text messaging with dynamic data visualizations that can be integrated into electronic health records (EHRs) and personalized patient reports. To build i-Matter, we conducted semistructured group and individual interviews with patients with T2D and providers, a design thinking workshop to refine initial ideas and design the prototype, and user testing sessions of prototypes using a rapid-cycle design (ie, design-test-modify-retest).

Results

Using an iterative user-centered process resulted in the identification of 6 PRO messages that were relevant to patients and providers: medication adherence, dietary behaviors, physical activity, sleep quality, quality of life, and healthy living goals. In user testing, patients recommended improvements to the wording and timing of the PRO text messages to increase clarity and response rates. Patients also recommended including motivational text messages to help sustain engagement with the program. The personalized report was regarded as a key tool for diabetes self-management by patients and providers because it aided in the identification of longitudinal patterns in the PRO data, which increased patient awareness of their need to adopt healthier behaviors. Patients recommended adding individualized tips to the journal on how they can improve their behaviors. Providers preferred having a separate tab built into the EHR that included the personalized report and highlighted key trends in patients’ PRO data over the past 3 months.

Conclusions

PRO tools that capture patients’ well-being and the behavioral aspects of T2D management are important to patients and providers. A clinical trial will test the efficacy of i-Matter in 282 patients with uncontrolled T2D.

Trial Registration

ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389

Promoting self-efficacy in patients with chronic disease beyond traditional education: A literature review

Aim

To examine barriers to self-efficacy and strategies beyond traditional education that promote self-efficacy for patients living with chronic disease. The review questions were as follows: (a) What are barriers to self-efficacy in patients experiencing chronic disease? and (b) What non-traditional strategies and programmes can be implemented by healthcare leaders to promote self-efficacy in patients with chronic disease?

Design

Integrative review.

Method

Data sources searched were CINAHL, Google Scholar, Health Source, Academic Search Complete and PsycARTICLES published between January 2014-January 2018. Synthesis and thematic analyses were conducted on 24 articles.

Results

Three themes were identified as barriers to self-efficacy: health literacy, access and support. Four prominent strategies were found to promote self-efficacy: self-management programmes, telehealth, mobile applications, gaming and social media. The findings indicate self-efficacy for patients with chronic conditions can improve with new interventions. Enhancing traditional education and boosting self-efficacy could increase treatment adherence and decrease cost.

Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis

Background

Successful treatment of diabetes includes patient self-management behaviors to prevent or delay complications and comorbid diseases. On the basis of findings from large clinical trials and professional guidelines, diabetes education programs and health providers prescribe daily regimens of glucose monitoring, healthy eating, stress management, medication adherence, and physical activity. Consistent, long-term commitment to regimens is challenging. Mobile health is increasingly being used to assist patients with lifestyle changes and self-management behaviors between provider visits. The effectiveness of mobile health to improve diabetes outcomes depends on patient engagement with a technology, content, or interactions with providers.

Objectives

In the current analysis, we aimed to identify patient engagement themes in diabetes messaging with diabetes providers and determine if differences in engagement in the Mobile Diabetes Intervention Study (MDIS) influenced changes in glycated hemoglobin A_1c (HbA_1c) over a 1-year treatment period (1.9% absolute decrease in the parent study).

Methods

In the primary MDIS study, 163 patients were enrolled into 1 of 3 mobile intervention groups or a usual care control group based on their physician cluster randomization assignment. The control group received care from their physicians as usual. Participants in each intervention group had access to a patient portal where they could record monitoring values for blood glucose, blood pressure, medication changes, or other self-management information while also assigned to varying levels of physician access to patient data. Intervention participants could choose to send and receive messages to assigned certified diabetes educators with questions or updates through the secure Web portal. For this secondary analysis, patient engagement was measured using qualitative methods to identify self-care themes in 4109 patient messages. Mixed methods were used to determine the impact of patient engagement on change in HbA_1c over 1 year.

Results

Self-care behavior themes that received the highest engagement for participants were glucose monitoring (75/107, 70.1%), medication management (71/107, 66.4%), and reducing risks (71/107, 66.4%). The average number of messages sent per patient were highest for glucose monitoring (9.2, SD 14.0) and healthy eating (6.9, SD 13.2). Compared to sending no messages, sending any messages about glucose monitoring (P=.03) or medication (P=.01) led to a decrease in HbA_1c of 0.62 and 0.72 percentage points, respectively. Sending any messages about healthy eating, glucose monitoring, or medication combined led to a decrease in HbA_1c of 0.54 percentage points compared to not sending messages in these themes (P=.045).

Conclusions

The findings from this study help validate the efficacy of the mobile diabetes intervention. The next step is to determine differences between patients who engage in mobile interventions and those who do not engage and identify methods to enhance patient engagement.

Trial Registration

ClinicalTrials.gov: NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by WebCite at http://www.webcitation.org/6wh4ekP4R)

Mixed-Methods Research in Diabetes Management via Mobile Health Technologies: A Scoping Review

Background

Considering the increasing incidence and prevalence of diabetes worldwide and the high level of patient involvement it requires, diabetes self-management is a serious issue. The use of mobile health (mHealth) in diabetes self-management has increased, but so far research has not provided sufficient information about the uses and effectiveness of mHealth-based interventions. Alternative study designs and more rigorous methodologies are needed. Mixed-methods designs may be particularly useful because both diabetes self-management and mHealth studies require integrating theoretical and methodological approaches.

Objective

This scoping review aimed to examine the extent of the use of mixed-methods research in mHealth-based diabetes management studies. The methodological approaches used to conduct mixed-methods studies were analyzed, and implications for future research are provided.

Methods

Guided by Arksey and O’Malley’s framework, this scoping review implemented a comprehensive search strategy including reviewing electronic databases, key journal searches, Web-based research and knowledge centers, websites, and handsearching reference lists of the studies. The studies focusing on mHealth technologies and diabetes management were included in the review if they were primary research papers published in academic journals and reported using a combination of qualitative and quantitative methods. The key data extracted from the reviewed studies include purpose of mixing, design type, stage of integration, methods of legitimation, and data collection techniques.

Results

The final sample (N=14) included studies focused on the feasibility and usability of mHealth diabetes apps (n=7), behavioral measures related to the mHealth apps (n=6), and challenges of intervention delivery in the mHealth context (n=1). Reviewed studies used advanced forms of mixed-methods designs where integration occurred at multiple points and data were collected using multiple techniques. However, the majority of studies did not identify a specific mixed-methods design or use accepted terminology; nor did they justify using this approach.

Conclusions

This review provided important insights into the use of mixed methods in studies focused on diabetes management via mHealth technologies. The prominent role of qualitative methods and tailored measures in diabetes self-management studies was confirmed, and the importance of using multiple techniques and approaches in this field was emphasized. This review suggests defining specific mixed-methods questions, using specific legitimation methods, and developing research designs that overcome sampling and other methodological problems in future studies.