The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: A randomized pilot study

The Effect of Telenursing on Disease Outcomes in People with Type 2 Diabetes Mellitus: A Narrative Review

Method

A comprehensive search of online databases, including PubMed, Scopus, Cochrane Library, and Google Scholar, was performed using the following MeSH keywords: telenursing, telephone follow-up, diabetes mellitus, disease management, glycemic, self-care, treatment adherence, and quality of life, up to September 2023. Two reviewers independently screened pertinent studies based on the prespecified outcomes (treatment adherence, self-care, glycemic control, and quality of life) and extracted data from all eligible studies.

Results

Of all retrieved records, 23 studies including 5 quasiexperimental (21%) and 18 randomized controlled trials (RCTs) (79%) from five continents met the inclusion criteria. Both male and female patients were considered in the included studies, with mean age of 56.2 years old and a follow-up range of 12 weeks to 18 months. Findings showed that telenursing or nurse telephone follow-up significantly increased mean self-care efficacy score, improved adherence to the treatment regimen, decreased glycosylated hemoglobin and plasma glucose levels (but not lipid profile and body mass index), and improved quality of life compared to the routine care in people with T2DM.

Conclusion

Telenursing can effectively supplement healthcare professionals to manage PWT2D. Increasing patients' knowledge about their drugs, insulin administration, and diabetes complications improves self-care behaviors and medical adherence. Consistently, improved self-care and regular use of treatment result in improved metabolic indicators and decreased rate of complications, which is associated with a better quality of life.

Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study

BACKGROUND

Effective self-management of diabetes is crucial for improving clinical outcomes by maintaining glucose levels and preventing the exacerbation of the condition. Mobile health (mHealth) has demonstrated its significance in enhancing self-management practices. However, only 20% of Malaysians are familiar with mHealth technologies and use them for health management.

OBJECTIVE

This study aims to explore the perceived benefits and challenges, needs and preferences, and willingness of patients with diabetes to use mHealth apps for self-management of diabetes.

METHODS

The study involved one-on-one semistructured online interviews with a total of 15 participants, all of whom were aged 18 years or older and had been diagnosed with diabetes for more than 6 months. An interview guide was developed based on the constructs of the Technology Acceptance Model (TAM), the Health Information Technology Acceptance Model (HITAM), and the aesthetics factor derived from the Mobile Application Rating Scale. All interviews were recorded in audio format and transcribed verbatim. The interview content was then organized and coded using ATLAS.ti version 8. Thematic analysis was conducted in accordance with the recommended guidelines for analyzing the data.

RESULTS

From the interviews with participants, 3 key themes emerged regarding the perceived benefits of using mHealth app support in diabetes self-management. These themes were the ability to track and monitor diabetes control, assistance in making lifestyle modifications, and the facilitation of more informed treatment decision-making for health care professionals. The interviews with participants revealed 4 prominent themes regarding the perceived barriers to using mHealth app support for diabetes self-management. These themes were a lack of awareness about the availability of mHealth support, insufficient support in using mHealth apps, the perception that current mHealth apps do not align with users' specific needs, and limited digital literacy among users. The interviews with participants unveiled 4 key themes related to their needs and preferences concerning mHealth app support for diabetes self-management. These themes were the desire for educational information, user-friendly design features, carbohydrate-counting functionality, and the ability to engage socially with both peers and health care professionals. The majority of participants expressed their willingness to use mHealth apps if they received recommendations and guidance from health care professionals.

CONCLUSIONS

Patients generally perceive mHealth app support as beneficial for diabetes self-management and are willing to use these apps, particularly if recommended by health care professionals. However, several barriers may hinder the utilization of mHealth apps, including a lack of awareness and recommendations regarding these apps from health care professionals. To ensure the effective development of mHealth app support systems for diabetes self-management, it is crucial to implement user-centered design processes that consider the specific needs and preferences of patients. This approach will help create apps that are tailored to the requirements of individuals managing diabetes.

The Use of eHealth for Pharmacotherapy Management With Patients With Respiratory Disease, Cardiovascular Disease, or Diabetes: Scoping Review

BACKGROUND

eHealth is increasingly considered an important tool for supporting pharmacotherapy management.

OBJECTIVE

We aimed to assess the (1) use of eHealth in pharmacotherapy management with patients with asthma or chronic obstructive pulmonary disease (COPD), diabetes, or cardiovascular disease (CVD); (2) effectiveness of these interventions on pharmacotherapy management and clinical outcomes; and (3) key factors contributing to the success of eHealth interventions for pharmacotherapy management.

METHODS

We conducted a scoping review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review) statement. Databases searched included Embase, MEDLINE (PubMed), and Cochrane Library. Screening was conducted by 2 independent researchers. Eligible articles were randomized controlled trials and cohort studies assessing the effect of an eHealth intervention for pharmacotherapy management compared with usual care on pharmacotherapy management or clinical outcomes in patients with asthma or COPD, CVD, or diabetes. The interventions were categorized by the type of device, pharmacotherapy management, mode of delivery, features, and domains described in the conceptual model for eHealth by Shaw at al (Health in our Hands, Interacting for Health, Data Enabling Health). The effectiveness on pharmacotherapy management outcomes and patient- and clinician-reported clinical outcomes was analyzed per type of intervention categorized by number of domains and features to identify trends.

RESULTS

Of 63 studies, 16 (25%), 31 (49%), 13 (21%), and 3 (5%) included patients with asthma or COPD, CVD, diabetes, or CVD and diabetes, respectively. Most (38/63, 60%) interventions targeted improving medication adherence, often combined for treatment plan optimization. Of the 16 asthma or COPD interventions, 6 aimed to improve inhaled medication use. The majority (48/63, 76%) of the studies provided an option for patient feedback. Most (20/63, 32%) eHealth interventions combined all 3 domains by Shaw et al, while 25% (16/63) combined Interacting for Health with Data Enabling Health. Two-thirds (42/63, 67%) of the studies showed a positive overall effect. Respectively, 48% (23/48), 57% (28/49), and 39% (12/31) reported a positive effect on pharmacotherapy management and clinician- and patient-reported clinical outcomes. Pharmacotherapy management and patient-reported clinical outcomes, but not clinician-reported clinical outcomes, were more often positive in interventions with ≥3 features. There was a trend toward more studies reporting a positive effect on all 3 outcomes with more domains by Shaw et al. Of the studies with interventions providing patient feedback, more showed a positive clinical outcome, compared with studies with interventions without feedback. This effect was not seen for pharmacotherapy management outcomes.

CONCLUSIONS

There is a wide variety of eHealth interventions combining various domains and features to target pharmacotherapy management in asthma or COPD, CVD, and diabetes. Results suggest feedback is key for a positive effect on clinician-reported clinical outcomes. eHealth interventions become more impactful when combining domains.

Medication nonadherence: health impact, prevalence, correlates and interventions

Nonadherence to medicines is a global problem compromising health and economic outcomes for individuals and society. This article outlines how adherence is defined and measured, and examines the impact, prevalence and determinants of nonadherence. It also discusses how a psychosocial perspective can inform the development of interventions to optimise adherence and presents a series of recommendations for future research to overcome common limitations associated with the medication nonadherence literature. Nonadherence is best understood in terms of the interactions between an individual and a specific disease/treatment, within a social and environmental context. Adherence is a product of motivation and ability. Motivation comprises conscious decision-making processes but also from more 'instinctive', intuitive and habitual processes. Ability comprises the physical and psychological skills needed to adhere. Both motivation and ability are influenced by environmental and social factors which influence the opportunity to adhere as well as triggers or cues to actions which may be internal (e.g. experiencing symptoms) or external (e.g. receiving a reminder). Systematic reviews of adherence interventions show that effective solutions are elusive, partly because few have a strong theoretical basis. Adherence support targeted at the level of individuals will be more effective if it is tailored to address the specific perceptions (e.g. beliefs about illness and treatment) and practicalities (e.g. capability and resources) influencing individuals' motivation and ability to adhere.

Message frame and health literacy: Strategies to improve adherence to antihypertensive medications

BACKGROUND

Hypertension and prehypertension is prevalent in about half of the total world population. Experts recommend comprehensive medical treatment for people with underlying diseases or at risk for metabolic syndrome. However, previous studies have found that approximately half of all patients with hypertension stopped taking antihypertensive medication within a year, and this phenomenon was closely related to the low perceived benefit and outcome expectation of taking behavior.

OBJECTIVES

As the initial perception of medication is greatly influenced by the medication message, this study explored the effect of the gain-loss framing of the message of adherence to antihypertensives. Furthermore, the study analyzed the interaction between health literacy and involvement, which is a characteristic of the message recipient, and the message frame and examined how the message strategy should differ according to individual factors.

METHODS

The quasi-experiment via an online survey was conducted from August 9 to 11, 2021. Participants who had the potential for hypertension but had not yet been diagnosed were selected through screening questions. A total of 1200 participants were randomly assigned to each frame group. Data analysis was conducted using descriptive statistics, analysis of covariance for analysis of main effects and interaction effects between variables, and Bonferroni post-hoc for multiple analyses.

RESULTS

Regarding medical adherence intention, the frame did not show a main effect, whereas individual factors showed a main effect. An interaction effect of frame and individual factors were found. Specifically, in the group with low health literacy or low involvement, a significant gain frame advantage effect was observed.

CONCLUSIONS

This study verified the relationship between medication messages and behavior and provides insight into tailoring messages to antihypertensive adherence; it found that individuals' health literacy and involvement must be considered in health communication message strategies.

Understanding tailoring to support the implementation of evidence-based interventions in healthcare: The CUSTOMISE research programme protocol

Although there are effective evidence-based interventions (EBIs) to prevent, treat and coordinate care for chronic conditions they may not be adopted widely and when adopted, implementation challenges can limit their impact.  Implementation strategies are "methods or techniques used to enhance the adoption, implementation, and sustainment of a clinical program or practice". There is some evidence to suggest that to be more effective,  strategies should be tailored; that is, selected and designed to address specific determinants which may influence implementation in a given context. Despite the growing popularity of tailoring the concept is ill-defined, and the way in which tailoring is applied can vary across studies or lack detail when reported. There has been less focus on the part of tailoring where stakeholders prioritise determinants and select strategies, and the way in which theory, evidence and stakeholders' perspectives should be combined to make decisions during the process. Typically, tailoring is evaluated based on the effectiveness of the tailored strategy, we do not have a clear sense of the mechanisms through which tailoring works, or how to measure the "success" of the tailoring process. We lack an understanding of how stakeholders can be involved effectively in tailoring and the influence of different approaches on the outcome of tailoring. Our research programme, CUSTOMISE (Comparing and Understanding Tailoring Methods for Implementation Strategies in healthcare) will address some of these outstanding questions and generate evidence on  the feasibility, acceptability, and efficiency of different tailoring approaches, and build capacity in implementation science in Ireland, developing and delivering training and supports for, and network of, researchers and implementation practitioners. The evidence generated across the studies conducted as part of CUSTOMISE will bring greater clarity, consistency, coherence, and transparency to tailoring, a key process in implementation science.

Impact of patient and provider nudges on addressing herpes zoster vaccine series completion

OBJECTIVES

To determine the combined impact of provider-facing and text message-based, patient nudges on herpes zoster vaccine series completion.

METHODS

Following a period during which Kroger Health implemented provider facing nudges, select US patients that initiated herpes zoster vaccination were randomized to receive timed text messages when the second dose was due and available as part of a quality improvement exercise. Main comparisons were between patients intervened by provider nudge only and those intervened by both provider and patient nudges. Data were assessed by GEE-basedlogistic and linear regression, controlling for available patient- and store-level characteristics, and geospatial analyses.

RESULTS

During the baseline period, 100,627 adults received at least one HZ vaccine dose and 83.9% completed the series within 6 months over 88.6 days (SD: 26.53) on average. In the intervention period, 120,339 adults were vaccinated at least once and series completion was 88.3% (both provider nudges and text messaging) and 85.3% (not texted) during this observation window (both p < 0.0001). Time between doses was shorter for those who received text messages compared to both the baseline period and those in the intervention period that were not texted (both p < 0.001). Controlling for multiple characteristics, the odds of completion improved in the intervention period compared to baseline (OR: 1.07; 95% CI: 1.033-1.111), but a noticeably higher completion odds was observed amongst patients who received a text message in the intervention period (OR: 1.35; 95% CI: 1.286-1.414). Adjusting for patient and pharmacy factors, those who were texted received their second herpes zoster vaccine dose 8.6 days sooner (95% CI: -9.08 - -8.17, p < 0.0001) compared to those intervened by the provider nudge only.

CONCLUSION

The combined use of clinical and patient-focused nudges is a simple mechanism by which pharmacies and other health care access points can address the multi-dose vaccine needs of diverse patient populations.

Conceptual tensions and practical trade-offs in tailoring implementation interventions

Tailored interventions have been shown to be effective and tailoring is a popular process with intuitive appeal for researchers and practitioners. However, the concept and process are ill-defined in implementation science. Descriptions of how tailoring has been applied in practice are often absent or insufficient in detail. This lack of transparency makes it difficult to synthesize and replicate efforts. It also hides the trade-offs for researchers and practitioners that are inherent in the process. In this article we juxtapose the growing prominence of tailoring with four key questions surrounding the process. Specifically, we ask: (1) what constitutes tailoring and when does it begin and end?; (2) how is it expected to work?; (3) who and what does the tailoring process involve?; and (4) how should tailoring be evaluated? We discuss these questions as a call to action for better reporting and further research to bring clarity, consistency, and coherence to tailoring, a key process in implementation science.

Characterising processes and outcomes of tailoring implementation strategies in healthcare: a protocol for a scoping review

Background: Tailoring strategies to target the salient barriers to and enablers of implementation is considered a critical step in supporting successful delivery of evidence based interventions in healthcare. Theory, evidence, and stakeholder engagement are considered key ingredients in the process however, these ingredients can be combined in different ways. There is no consensus on the definition of tailoring or single method for tailoring strategies to optimize impact, ensure transparency, and facilitate replication. Aim: The purpose of this scoping review is to describe how tailoring has been undertaken within healthcare to answer questions about how it has been conceptualised, described, and conducted in practice, and to identify research gaps. Methods: The review will be conducted in accordance with best practice guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for scoping reviews (PRISMA-ScR) will be used to guide the reporting. Searches will be conducted of MEDLINE, Embase, Web of Science, Scopus, from 2005 to present. Reference lists of included articles will be searched. Grey literature will be searched on Google Scholar. Screening and data extraction will be conducted by two or more members of the research team, with any discrepancies resolved by consensus discussion with a third reviewer. Initial analysis will be quantitative involving a descriptive numerical summary of the characteristics of the studies and the tailoring process. Qualitative content analysis aligned to the research questions will also be conducted, and data managed  using NVivo where applicable. This scoping review is pre-registered with the Open Science Framework. Conclusions: The findings will serve a resource for implementation researchers and practitioners to guide future research in this field and facilitate systematic, transparent, and replicable development of tailored implementation strategies.

Characterising processes and outcomes of tailoring implementation strategies in healthcare: a protocol for a scoping review

Background: Tailoring strategies to target the salient barriers to and enablers of implementation is considered a critical step in supporting successful delivery of evidence based interventions in healthcare. Theory, evidence, and stakeholder engagement are considered key ingredients in the process however, these ingredients can be combined in different ways. There is no consensus on the definition of tailoring or single method for tailoring strategies to optimize impact, ensure transparency, and facilitate replication. Aim: The purpose of this scoping review is to describe how tailoring has been undertaken within healthcare to answer questions about how it has been conceptualised, described, and conducted in practice, and to identify research gaps. Methods: The review will be conducted in accordance with best practice guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for scoping reviews (PRISMA-ScR) will be used to guide the reporting. Searches will be conducted of MEDLINE, Embase, Web of Science, Scopus, from 2005 to present. Reference lists of included articles will be searched. Grey literature will be searched on Google Scholar. Screening and data extraction will be conducted by two or more members of the research team, with any discrepancies resolved by consensus discussion with a third reviewer. Initial analysis will be quantitative involving a descriptive numerical summary of the characteristics of the studies and the tailoring process. Qualitative content analysis aligned to the research questions will also be conducted, and data managed  using NVivo where applicable. This scoping review is pre-registered with the Open Science Framework. Conclusions: The findings will serve a resource for implementation researchers and practitioners to guide future research in this field and facilitate systematic, transparent, and replicable development of tailored implementation strategies.

Impact of personalized text messages from pharmacists on medication adherence in type 2 diabetes in France: A real-world, randomized, comparative study

OBJECTIVE

A real-world, randomized study assessing the impact of a new, personalized, pharmacist-led text messaging service for managing type 2 diabetes (T2D).

METHODS

Messages were tailored to patient's needs based on their disease management habits, propensity for reactance, and physical activity levels at baseline. Treatment adherence (assed using the Morisky Medication Adherence Scale, MMAS-8, questionnaire), clinical factors (body mass index and physical activity) and biological markers for T2D were compared between patients who received a text message daily for 3 months in addition to standard care (SMS group) and those who received standard care alone (control group).

RESULTS

114 pharmacies recruited 499 patients. Greater increases in global MMAS-8 scores were observed after 3 months for the SMS group than for the control group, however, this improvement was not sustained after the text messages stopped. Body mass index was found to improve with the text messaging service.

CONCLUSION

This study indicated that personalized text messages provided by community pharmacists can have an impact on adherence levels among T2D patients.

PRACTICE IMPLICATIONS

Pharmacy-led innovations, such as text messaging services, could be used to accompany patients in their treatment and to improve patient understanding of their illness between healthcare appointments.

Using Feedback to Improve Accountability in Global Environmental Health and Engineering

Engineered environmental health interventions and services in low-income and resource-limited settings-such as water supply and treatment, sanitation, and cleaner household energy services-have had a less than expected record of sustainability and have sometimes not delivered on their potential to improve health. These interventions require both effectively functioning technologies as well as supporting financial, political, and human resource systems, and may depend on user behaviors as well as professionalized service delivery to reduce harmful exposures. In this perspective, we propose that the application of smarter, more actionable monitoring and decision support systems and aligned financial incentives can enhance accountability between donors, implementers, service providers, governments, and the people who are the intended beneficiaries of development programming. Made possible in part by new measurement techniques, including emerging sensor technologies, rapid impact evaluation, citizen science, and performance-based contracting, such systems have the potential to propel the development of solutions that can work over the long-term, allowing the benefits of environmental health improvements to be sustained in settings where they are most critical by improving trust and mutual accountability among stakeholders.

Secondary Impact of Social Media via Text Message Screening for Type 2 Diabetes Risk in Kuwait: Survey Study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is an international problem of alarming epidemic proportions. T2DM can develop due to multiple factors, and it usually begins with prediabetes. Fortunately, this disease can be prevented by following a healthy lifestyle. However, many health care systems fail to properly educate the public on disease prevention and to offer support in embracing behavioral interventions to prevent diabetes. SMS messaging has been combined with cost-effective ways to reach out to the population at risk for medical comorbidities. To our knowledge, the use of nationwide SMS messaging in the Middle East as a screening tool to identify individuals who might be at risk of developing T2DM has not been reported in the literature.

OBJECTIVE

The primary aim of this study was to assess the feasibility of conducting a series of SMS messaging campaigns directed at random smartphone users in Kuwait for the detection and prevention of T2DM. It was predicted that 1% of those receiving the text message would find it relevant and participate in the study. The secondary aim of this study was to assess the incidence of participation of those who were forwarded the initial text message by family members and friends.

METHODS

In this study, 5 separate text message screening campaigns were launched inviting recipients to answer 6 questions to determine the risk of developing T2DM. If subjects agreed to participate, a link to the prediabetes screening test devised by the Centers for Disease Control and Prevention was automatically transmitted to their mobile devices. Those identified as high risk were invited to participate in a diabetes prevention program.

RESULTS

A total of 180,000 SMSs were sent to approximately 6% of the adult population in Kuwait. Of these, 0.14% (260/180,000) of the individuals who received the SMS agreed to participate, of whom 58.8% (153/260) completed the screening. Surprisingly, additional surveys were completed by 367 individuals who were invited via circulated SMS messages forwarded by family members and friends. Altogether, 23.3% (121/520) qualified and agreed to participate in a diabetes prevention program. The majority of those who chose to participate in the prevention program were overweight, aged 45-65 years, and reported being less physically active than those who chose not to participate (χ²₂=42.1, P<.001).

CONCLUSIONS

Although health care screening via text messaging was found to have limited effectiveness by itself, it exhibited increased reach through shared second-party social media messaging. Despite the fact a subpopulation at possible risk of developing T2DM could be reached via text messaging, most responders were informed about the screening campaign by family and friends. Future research should be designed to tap into the benefits of social media use in health risk campaigns.

Impact of Telehealth Interventions on Medication Adherence for Patients With Type 2 Diabetes, Hypertension, and/or Dyslipidemia: A Systematic Review

Objective:

To describe telehealth interventions and determine their effect on medication adherence for patients with type 2 diabetes, hypertension, and/or dyslipidemia.

Data Sources:

PubMed/MEDLINE, EMBASE, Cochrane, CINAHL Plus, PsycINFO, Academic Search Ultimate, International Pharmaceutical Abstracts, Scopus, Web of Science, WHO Global Index Medicus, association websites, and gray literature were searched from January 1, 1998, to December 31, 2019.

Study Selection and Data Extraction:

Eligible studies reported eHealth, mobile health, and telehealth interventions for adult patients prescribed medications for chronic condition management (eg, type 2 diabetes, hypertension, and/or dyslipidemia). Studies were required to evaluate medication adherence outcomes (eg, medication possession ratio [MPR], proportion of days covered (PDC)]. Randomized controlled trials, cohort studies, and controlled before-and-after studies were included. Multiple reviewers independently extracted data and evaluated risk of bias.

Data Synthesis:

Of 8693 studies identified, 13 reported either an MPR or PDC and were included in the systematic review. The systematic review demonstrated that electronic health (eHealth) and telehealth interventions were successful at improving medication adherence, whereas mobile health interventions did not improve medication adherence.

Relevance to Patient Care and Clinical Practice:

This systematic review highlighted the available research and findings of studies assessing interventions to improve medication nonadherence among patients with type 2 diabetes, hypertension, and/or dyslipidemia. The evaluated findings lend support to the need for targeted medication adherence interventions based on patient population and practice settings.

Conclusions:

Telehealth modalities include telephonic outreach and specialized tools designed to increase health literacy. eHealth and telehealth medication adherence interventions were associated with improved MPR and/or PDC rates.

The TTCYB Study Protocol: A Tailored Print Message Intervention to Improve Cardiovascular Patients' Lifestyles

This article describes the development of the "Time to Change Your Behavior" (TTCYB) study protocol, a theory-based, tailored print message intervention to improve compliance with the self-care regimen in patients with cardiovascular diseases. A design with a baseline measurement and two follow-ups at six and 12 months will be applied. At baseline and the six-month follow-up, patients will complete self-report questionnaires evaluating lifestyle habits and socio-demographic and psychological variables; at the 12-month follow-up, patients will answer a telephone interview assessing lifestyle habits. After the baseline measurement, patients will be randomized into one of three groups: (1) the tailored group, which will receive tailored health brochures; (2) the "non-tailored" group, which will receive non-tailored health brochures; or (3) the usual care group, which will receive no print information materials. The effectiveness of the intervention will be assessed through patients' judgments of the brochures and changes in lifestyle. The role of socio-demographic and psychological variables as potential moderators of the materials' effectiveness will be explored. If the TTCYB is efficacious, it will have implications for the design and implementation of tailored communication programs. Concepts from this study can be potentially extended to primary prevention among high-risk groups.

British South Asian Patients' Perspectives on the Relevance and Acceptability of Mobile Health Text Messaging to Support Medication Adherence for Type 2 Diabetes: Qualitative Study

BACKGROUND

The prevalence of type 2 diabetes (T2D) is greater in South Asian populations and health outcomes are poorer compared with other ethnic groups. British South Asians are up to six times more likely to have T2D than the general population, to develop the condition at a younger age, and to experience diabetes-related complications. Interventions to support people in managing their condition can potentially reduce debilitating complications. Evidence to support the use of digital devices in T2D management, including mobile phones, has shown positive impacts on glycemic control. There is increasing recognition that health interventions that are culturally adapted to the needs of specific groups are more likely to be relevant and acceptable, but evidence to support the effectiveness of adapted interventions is limited and inconclusive.

OBJECTIVE

This formative study aimed to explore the perceptions and views of British South Asian patients with T2D on mobile health SMS text messaging to support medication adherence, aimed at the general UK population.

METHODS

Eight exploratory focus groups were conducted in Leicester, the United Kingdom, between September 2017 and March 2018. A diverse sample of 67 adults took part.

RESULTS

British South Asian people with T2D who use digital devices, including mobile phones, felt that short messages to support medication adherence would be acceptable and relevant, but they also wanted messages that would support other aspects of self-management too. Participants were particularly interested in content that met their information needs, including information about South Asian foods, commonly used herbs and spices, natural and herbal approaches used in the United Kingdom and in South Asia, and religious fasting. Short messages delivered in English were perceived to be acceptable, often because family members could translate for those unable to read or understand the messages. Suggestions to support patients unable to understand short messages in English included having them available in different formats, and disseminated in face-to-face groups for those who did not use digital devices.

CONCLUSIONS

Exploring the views of British South Asian patients about SMS text messaging aimed at the general UK population is important in maximizing the potential of such an intervention. For such a digital system to meet the needs of UK South Asian populations, it may also have to include culturally relevant messages sent to those who opt to receive them. It is equally important to consider how to disseminate message content to patients who do not use digital devices to help reduce health inequalities.

Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature

Objectives

Limited data are available on the correlation of mHealth features and statistically significant outcomes. We sought to identify and analyze: types and categories of features; frequency and number of features; and relationship of statistically significant outcomes by type, frequency, and number of features.

Materials and Methods

This search included primary articles focused on app-based interventions in managing chronic respiratory diseases, diabetes, and hypertension. The initial search yielded 3622 studies with 70 studies meeting the inclusion criteria. We used thematic analysis to identify 9 features within the studies.

Results

Employing existing terminology, we classified the 9 features as passive or interactive. Passive features included: 1) one-way communication; 2) mobile diary; 3) Bluetooth technology; and 4) reminders. Interactive features included: 1) interactive prompts; 2) upload of biometric measurements; 3) action treatment plan/personalized health goals; 4) 2-way communication; and 5) clinical decision support system.

Discussion

Each feature was included in only one-third of the studies with a mean of 2.6 mHealth features per study. Studies with statistically significant outcomes used a higher combination of passive and interactive features (69%). In contrast, studies without statistically significant outcomes exclusively used a higher frequency of passive features (46%). Inclusion of behavior change features (ie, plan/goals and mobile diary) were correlated with a higher incident of statistically significant outcomes (100%, 77%).

Conclusion

This exploration is the first step in identifying how types and categories of features impact outcomes. While the findings are inconclusive due to lack of homogeneity, this provides a foundation for future feature analysis.

Digital health technology and mobile devices for the management of diabetes mellitus: state of the art

Diabetes mellitus is a disease that can be difficult to manage and requires high levels of health literacy and numeracy, self-monitoring and frequent contact with clinicians. If not optimally controlled, diabetes can lead to kidney failure, blindness and cardiovascular complications, which, in turn, contribute to increasing healthcare costs. Although not yet widely used, mobile health (mHealth) tools have enhanced diabetes management and prevention and are likely to play an increasing role with the growth of smartphone ownership and medical device innovations. Recent mHealth interventions targeting type 1 and type 2 diabetes are diverse in their goals and components, and include insulin management applications, wearable blood glucose meters, automated text messages, health diaries and virtual health coaching. In this paper, we review the modalities and components of various impactful interventions for insulin management, diabetes education, self-management and prevention. More work is needed to investigate how individual demographic, socioeconomic, behavioural and clinical characteristics contribute to patient engagement and the efficacy of mHealth tools for diabetes.

Short Message Service (SMS) e promoção do autocuidado em DM2: revisão integrativa

Resumo Objetivo: Sintetizar e analisar as evidências disponíveis na literatura científica sobre os efeitos do uso de Short Message Service (SMS) na promoção do autocuidado em diabetes mellitus tipo 2. Métodos: Foi desenvolvida uma revisão integrativa da literatura, no período de 2007 a 2017, utilizando para a busca dos estudos as seguintes bases de dados: Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Scopus, Web of Science, Base de dados de enfermagem, Campus Virtual de Saúde Pública, Coleção Nacional das Fontes de Informação do Sistema Único de Saúde, Coordenadoria Regional de Saúde Sul, Índice Bibliográfico Español en Ciencias de la Salud (iBECS), Literatura Latino-Americana e do Caribe em Ciências da Saúde e PubMed. Para isso, utilizou-se descritores como: mensagem de texto, autocuidado, educação em saúde, promoção em saúde e diabetes mellitus, bem como os respectivos descritores em inglês e espanhol, e os Medical Subject Headings associados. Foi identificada uma amostra inicial de 739 artigos, dos quais 23 foram classificados como elegíveis para compor a amostra final. Resultados: Em geral, os trabalhos reportaram resultados positivos. Dentre estes, destacam-se: melhora significativa dos níveis de hemoglobina glicada, maior adesão aos medicamentos, melhora das práticas de autocuidado, aumento do conhecimento acerca do diabetes e melhor cuidado com os pés. Conclusão: Evidências científicas na literatura mostram que o uso de SMS como estratégia metodológica pode favorecer a melhora das práticas de autocuidado em diabetes tipo 2.

Supporting Adherence to Medicines for Long-Term Conditions

Abstract. Pharmaceutical prescriptions are core to the treatment of most chronic illnesses, yet only half are taken as prescribed. Despite the high costs of nonadherence to individuals and society, effective adherence-promoting interventions are elusive. This is partly due to the sheer complicity of the issue. There are numerous determinants of adherence, both internal to the patient (intrinsic) and external (extrinsic, e.g., environmental or health system-related factors). Also, the relative importance of these determinants varies between individuals and even within the same individual over time and across treatments, presenting a challenge for intervention design. One complication is that interventions can target several levels: (1) patient (e.g., enhancing motivation and/or ability to adhere), (2) patient-provider interactions (e.g., improving communication and the prescribing process), and (3) the healthcare system (e.g., providing the opportunity to access medication through regulatory approval and co-payment schemes). Here, we focus on level 1: the patient. Although environmental factors are important, the effect of an intervention designed to change them will depend on how they impact on the individual. We describe the Perceptions and Practicalities Approach (PAPA), a pragmatic framework positing that adherence/nonadherence is essentially a produce of individual motivation and ability. Adherence interventions, targeted at any level, will therefore be more effective if tailored to address the perceptions and practicalities underpinning individual motivation and ability. We discuss how PAPA can be operationalized, including the application of theoretical models of illness and treatment representation (Necessity-Concerns Framework and Leventhal’s Common-Sense Model) to address salient adherence-related perceptions.

Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users

BACKGROUND

Mobile phone applications (apps) have been shown to successfully facilitate the self-management of chronic disease. This study aims to evaluate firstly the experiences, barriers and facilitators to app usage among people with Type 2 Diabetes Mellitus (T2DM) and secondly determine recommendations to improve usage of diabetes apps.

METHODS

Participants were aged ≥ 18 years with a diagnosis of T2DM for ≥ 6 months. Semi-structured phone-interviews were conducted with 16 app and 14 non-app users. Interviews were based on the Technology Acceptance Model, Health Information Technology Acceptance Model (HITAM) and the Mobile Application Rating Scale. Data were analysed using deductive content analysis.

RESULTS

Most app-users found apps improved their T2DM self-management and health. The recommendation of apps by health professionals, as well as positive interactions with them, improved satisfaction; however, only a minority of patients had practitioners involved in their app use. All non-app users had never had the concept discussed with them by a health professional. Facilitators to app use included the visual representation of trends, intuitive navigation and convenience (for example, discretion and portability). Barriers to app use were participant's lack of knowledge and awareness of apps as healthcare tools, perceptions of disease severity, technological and health literacy or practical limitations such as rural connectivity. Factors contributing to app use were classified into a framework based on the Health Belief Model and HITAM. Recommendations for future app design centred on educational features, which were currently lacking (e.g. diabetes complications, including organ damage and hypoglycaemic episodes), monitoring and tracking features (e.g. blood glucose level monitoring with trends and dynamic tips and comorbidities) and nutritional features (e.g. carbohydrate counters). Medication reminders were not used by participants. Lastly, participants felt that receiving weekly text-messaging relating to their self-management would be appropriate.

CONCLUSIONS

The incorporation of user-centred features, which engage T2DM consumers in self-management tasks, can improve health outcomes. The findings may guide app developers and entrepreneurs in improving app design and usability. Given self-management is a significant factor in glycaemic control, these findings are significant for GPs, nurse practitioners and allied health professionals who may integrate apps into a holistic management plan which considers strategies outside the clinical environment.

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

OBJECTIVES

This study aimed to identify, assess and summarize available scientific evidence on tailored text messaging interventions focused on type 2 diabetes self-management. The systematic review concentrated on message design and delivery features, and tailoring strategies. The meta-analysis assessed the moderators of the effectiveness of tailored text messaging interventions.

METHODS

A comprehensive search strategy included major electronic databases, key journal searches and reference list searching for related studies. PRISMA and Cochrane Collaboration's guidelines and recommended tools for data extraction, quality appraisal and data analysis were followed. Data were extracted on participant characteristics (age, gender, ethnicity), and interventional and methodological characteristics (study design, study setting, study length, choice of modality, comparison group, message type, format, content, use of interactivity, message frequency, message timing, message delivery, tailoring strategies and theory use). Outcome measures included diet, physical activity, medication adherence and glycated hemoglobin data (HbA1C). Where possible, a random effects meta-analysis was performed to pool data on the effectiveness of the tailored text messaging interventions and moderator variables.

RESULTS

The search returned 13 eligible trials for the systematic review and 11 eligible trials for the meta-analysis. The majority of the studies were randomized controlled trials, conducted in high-income settings, used multi-modalities, and mostly delivered informative, educational messages through an automated message delivery system. Tailored text messaging interventions produced a substantial effect (g = 0.54, 95% CI = 0.08-0.99, p < 0.001) on HbA1C values for a total of 949 patients. Subgroup analyses revealed the importance of some moderators such as message delivery (Q B = 18.72, df = 1, p = 0.001), message direction (Q B = 5.26, df = 1, p = 0.022), message frequency (Q B = 18.72, df = 1, p = 0.000) and using multi-modalities (Q B = 6.18, df = 1, p = 0.013).

CONCLUSIONS

Tailored mobile text messaging interventions can improve glycemic control in type 2 diabetes patients. However, more rigorous interventions with larger samples and longer follow-ups are required to confirm these findings and explore the effects of tailored text messaging on other self-management outcomes.

A Scoping Review of the Quality and the Design of Evaluations of Mobile Health, Telehealth, Smart Pump and Monitoring Technologies Performed in a Pharmacy-Related Setting

Background: There is currently a need for high quality evaluations of new mobile health, telehealth, smart pump and monitoring technologies undertaken in a pharmacy-related setting. We aim to evaluate the use of these monitoring technologies performed in this setting. Methods: A systematic searching of English articles that examined the quality and the design of technologies conducted in pharmacy-related facilities was performed using the following databases: MEDLINE and Cumulative index to Nursing and Allied Health Literature (CINAHL) to identify original studies examining the quality and the design of technologies and published in peer-reviewed journals. Extraction of articles and quality assessment of included articles were performed independently by two authors. Quality scores over 75% are classed as being acceptable using a "relatively conservative" quality benchmark. Scores over 55% are included using a "relatively liberal" cut-off point. Results: Screening resulted in the selection of 40 formal evaluations. A substantial number of studies (32, 80.00%) were performed in the United States, quantitative in approach (33, 82.50%) and retrospective cohort (24, 60.00%) in study design. The most common pharmacy-related settings were: 22 primary care (55.00%); 10 hospital pharmacy (25.00%); 7 community pharmacy (17.50%); one primary care and hospital pharmacy (2.50%). The majority of the evaluations (33, 82.50%) reported clinical outcomes, six (15.00%) measured clinical and economic outcomes, and one (2.50%) economic only. Twelve (30.00%) quantitative studies and no qualitative study met objective criteria for "relatively conservative" quality. Using a lower "relatively liberal" benchmark, 27 quantitative (81.82%) and four qualitative (57.41%) studies met the lower quality criterion. Conclusion: Worldwide, few evaluations of mobile health, telehealth, smart pump and monitoring technologies in pharmacy-related setting have been published.Their quality is often below the standard necessary for inclusion in a systematic review mainly due to inadequate study design.

Using text message reminders in health care services: A narrative literature review

INTRODUCTION

Despite the extensive use of mHealth behavior change interventions, questions remain about the use of technology-based reminders in delivering health care services. Text messaging, or short message service (SMS), is one reminder method that has been extensively researched. Most SMS-reminder research is distributed across a range of health care outcomes. The aim of this article is to systematically review the aggregate impact of these reminders on overall health care outcomes.

METHODS

A systematic literature review was conducted and yielded 2316 articles. Studies were included if they used SMS reminders to support patient health care outcomes. Study methodology was aligned with the PRISMA guidelines for systematic reviews.

RESULTS

Following screening, 162 articles met inclusion criteria. Of these studies, 93 investigated medical compliance reminders and 56 investigated appointment reminders. The review found that nearly all the SMS-reminder studies helped improve patient medical compliance and appointment reminders. Additionally, researchers reported numerous benefits from using SMS reminders, including ease of use, relative inexpensiveness, and rapid and automated message delivery. Minimal risks were reported and most participants found the reminders to be acceptable.

DISCUSSION

Text messages appear to be an effective reminder mechanism to promote improved patient appointment and medical compliance. Reminders should continue to be evaluated and improved to determine the most effective timing and frequency of messages for improving outcomes.

Text Messaging to Improve Disease Management in Patients With Painful Diabetic Peripheral Neuropathy

Purpose The purpose of the study was to determine the impact of educational text messages on diabetes self-management activities and outcomes in patients with painful diabetic peripheral neuropathy (pDPN). Methods Patients with pDPN identified from a large integrated health system who agreed to participate were randomized to 6 months of usual care (UC) or UC plus twice-daily diabetes self-management text messages (UC+TxtM). Outcomes included the Pain Numerical Rating Scale, Summary of Diabetes Self-Care Activities (SDSCA), questions on diabetes health beliefs, and glycated hemoglobin (A1C). Changes from baseline were evaluated at 6 months and compared between groups. Results Demographic characteristics were balanced between groups (N = 62; 53% female, mean age = 63 years, 94% type 2 diabetes), as were baseline measures. After 6 months, pain decreased with UC+TxtM from 6.3 to 5.5 and with UC from 6.5 to 6.0, with no difference between groups. UC+TxtM but not UC was associated with significant improvements from baseline on all SDSCA subscales. On diabetes health beliefs, UC+TxtM patients reported significantly increased benefits and reduced barriers and susceptibility relative to UC at 6 months. A1C declined in both groups, but neither change was significant relative to baseline. Conclusions Patients with pDPN who receive twice-daily text messages regarding diabetes management reported reduced pain relative to baseline, although this change was not significant compared with usual care. In addition, text messaging was associated with increased self-management activities and improved diabetes health beliefs and total self-care. These results warrant further investigation.

Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques

Automated telecommunication interventions, including short message service and interactive voice response, are increasingly being used to promote adherence to medications prescribed for cardio-metabolic conditions. This systematic review aimed to comprehensively assess the effectiveness of such interventions to support medication adherence, and to identify the behaviour change techniques (BCTs) and other intervention characteristics that are positively associated with greater intervention effectiveness. Meta-analysis of 17 randomised controlled trials showed a small but statistically significant effect on medication adherence, OR = 1.89, 95% CI [1.51, 2.36], I² = 89%, N = 25,101. Multivariable meta-regression analysis including eight BCTs explained 88% of the observed variance in effect size (ES). The BCTs 'tailored' and 'information about health consequences' were positively and significantly associated with ES. Future studies could explore whether the inclusion of these and/or additional techniques (e.g., 'implementation intentions') would increase the effect of automated telecommunication interventions, using rigorous designs and objective outcome measures.

Measuring oral contraceptive adherence using self-report versus pharmacy claims data

OBJECTIVE

Proportion of Days Covered (PDC) is a measure of medication adherence that uses prescription claims data to describe the proportion of days that the patient possessed medication. The objective of this study is to compare PDC and self-report as measures of oral contraceptive pills (OCPs) adherence and to identify individual-level predictors of adherence.

STUDY DESIGN

In a sample of 384 OCP users, self-report was compared with PDC as measures of adherence over the past 3 months. Patient-level variables were examined for associations with adherence using multivariable logistic regression models.

RESULTS

High adherence, defined as missing ≤1 pill per month, was 76%, 68% and 54% as measured by self-report, PDC and both measures, respectively. Younger women (ages 18-25 and 26-33 years) were significantly less likely to have high adherence on both measures than women in the 34-40 age group [adjusted odds ratio (OR) 0.20, 95% confidence interval (CI) 0.08-0.51 and adjusted OR 0.26, 95% CI 0.11-0.62, respectively). Other predictors of high adherence on both self-report and PDC measures included being in a relationship (adjusted OR 2.30, 95% CI 1.14-4.64, compared with unpartnered women), Protestant religion (adjusted OR 2.08, 95% CI 1.07-4.06, compared with women with no religious affiliation) and higher contraceptive self-efficacy (adjusted OR 1.63, 95% CI 1.03-2.58).

CONCLUSION

PDC derived from pharmacy claims, or a combination of PDC and self-report measures, may be an alternative to self-report alone for measuring OCP adherence.

IMPLICATIONS

PDC may be a potential tool for measuring women's adherence to OCPs and should be validated in future studies.

Addressing low health literacy with "Talking Pill Bottles": A pilot study in a community pharmacy setting

OBJECTIVES

To test the effect of "Talking Pill Bottles" on medication self-efficacy, knowledge, adherence, and blood pressure readings among hypertensive patients with low health literacy and to assess patients' acceptance of this innovation.

DESIGN

Longitudinal nonblinded randomized trial with standard treatment and intervention arms.

SETTING AND PARTICIPANTS

Two community pharmacies serving an ethnically diverse population in the Pacific Northwest. Participants were consented patients with antihypertension prescriptions who screened positive for low health literacy based on the Test of Functional Health Literacy Short Form. Participants in the intervention arm received antihypertensive medications and recordings of pharmacists' counseling in Talking Pill Bottles at baseline. Control arm participants received antihypertensive medications and usual care instructions.

MAIN OUTCOME MEASURES

Comparison and score changes between baseline and day 90 for medication knowledge test, Self-Efficacy for Appropriate Medication Use Scale (SEAMS), Morisky Medication Adherence Scale (MMAS-8), blood pressure, and responses to semistructured exit interviews and Technology Acceptance Model surveys.

RESULTS

Of 871 patients screened for health literacy, 134 eligible participants were enrolled in the trial. The sample was elderly, ethnically diverse, of low income, and experienced regarding hypertension and medication history. In both arms, we found high baseline scores in medication knowledge test, SEAMS, and MMAS-8 and minimal changes in these measures over the 90-day study period. Blood pressure decreased significantly in the intervention arm. Acceptability scores for the Talking Pill Bottle technology were high.

CONCLUSION

Our results suggest that providing audio-assisted medication instructions in Talking Pill Bottles positively affected blood pressure control and was well accepted by patients with low health literacy. Further research involving newly diagnosed patients is needed to mitigate possible ceiling effects that we observed in an experienced population.

Two Randomized Controlled Pilot Trials of Social Forces to Improve Statin Adherence among Patients with Diabetes

BACKGROUND

Medication nonadherence is an important obstacle to cardiovascular disease management.

OBJECTIVE

To improve adherence through real-time feedback based on theories of how social forces influence behavior.

DESIGN

Two randomized controlled pilot trials called PROMOTE and SUPPORT. Participants stored statin medication in wireless-enabled pill bottles that transmitted adherence data to researchers.

PARTICIPANTS

Adults with diabetes and a history of low statin adherence based on pharmacy refills (i.e., Medication Possession Ratio [MPR] <80% in the pre-randomization screening period).

INTERVENTION

In PROMOTE, each participant was randomized to 1) weekly messages in which that participant's statin adherence was compared to that of other participants (comparison), 2) weekly summaries of that participant's statin adherence (summary), or 3) control. In SUPPORT, each participant identified another person (the Medication Adherence Partner [MAP]) to receive reports about that participant's adherence, and was randomized to 1) daily reports to MAP, 2) weekly reports to MAP, 3) reports to MAP only if dose was missed, or 4) control.

MAIN OUTCOMES MEASURE

Adherence measured by pill bottle.

KEY RESULTS

Among 45,000 health plan members contacted by mail, <1% joined the trial. Participants had low baseline MPRs (median = 60%, IQR 41-72%) but high pill-bottle adherence (90% in PROMOTE, 92% in SUPPORT) during the trial. In PROMOTE (n = 201) and SUPPORT (n = 200), no intervention demonstrated significantly better adherence vs.

CONTROL

In a subgroup of PROMOTE participants with the lowest pre-study MPR, pill-bottle-measured adherence in the comparison arm (89%) was higher than the control (86%) and summary (76%) arms, but differences were non-significant (p = 0.10).

CONCLUSIONS

Interventions based on social forces did not improve medication adherence vs. control over a 3-month period. Given the low percentage of invited individuals who enrolled, the studies may have attracted participants who required little encouragement to improve adherence other than study participation.