Participant retention in an automated online monthly depression rescreening program: patterns and predictors

Preliminary Clinical Outcomes of the Hello Sunday Morning Alcohol and Wellbeing Self-Assessment: Feasibility and Acceptability Study

BACKGROUND

Alcohol-related injuries and diseases are a leading cause of morbidity and mortality worldwide. Early intervention is essential given the chronic, relapsing nature of alcohol use disorders. There is significant potential for widely accessible web-based screening tools to help individuals determine where they stand in terms of alcohol use and provide support recommendations. Screening and brief interventions (SBIs) provide individuals with a stigma-free opportunity to learn and think about the potential risks of drinking and prompt help-seeking behavior by incorporating behavior change techniques. Furthermore, as excessive alcohol use and mental health problems often occur concurrently, SBIs for both conditions simultaneously can potentially address a critical gap in alcohol and mental health treatment.

OBJECTIVE

We investigated the feasibility, acceptability, and clinical outcomes of participants completing the Alcohol and Wellbeing Self-assessment (A&WS), a web-based SBI.

METHODS

The A&WS is freely available on the Hello Sunday Morning website as part of an uncontrolled observational prospective study. Feasibility was assessed based on the number of respondents who commenced and subsequently completed the A&WS. Acceptability was measured via participant feedback to determine overall satisfaction, perceived helpfulness, and likelihood of recommending the A&WS to others. Clinical outcomes were measured in two ways: (1) self-reported changes in alcohol consumption (Alcohol Use Disorders Identification Test score) or psychological distress (Kessler Psychological Distress Scale score) over time and (2) help seeking-both self-reported and immediate web-based help seeking. Preliminary baseline data collected for the first 9 months (March 2022 to December 2022) of the study were reported, including the 3-month follow-up outcomes.

RESULTS

A total of 17,628 participants commenced the A&WS, and of these, 14,419 (81.8%) completed it. Of those 14,419 who completed the A&WS, 1323 (9.18%) agreed to participate in the follow-up research. Acceptability was high, with 78.46% (1038/1323) reporting high satisfaction levels overall; 95.62% (1265/1323) found the A&WS easy to use and would recommend the tool to others. The 1-, 2-, and 3-month follow-ups were completed by 28.57% (378/1323), 21.09% (279/1323), and 17.61% (233/1323) of the participants, respectively. Significant reductions in the Alcohol Use Disorders Identification Test Consumption subscale (P<.001) and Kessler Psychological Distress Scale scores (P<.001) were observed over the 3-month follow-up period.

CONCLUSIONS

Our results suggest that the A&WS is a highly feasible and acceptable digital SBI that may support individuals in making changes to their alcohol consumption and improve their psychological well-being. In the absence of a control group, positive clinical outcomes cannot be attributed to the A&WS, which should now be subjected to a randomized controlled trial. This scalable, freely available tool has the potential to reach a large number of adults who might not otherwise access help while complementing the alcohol and mental health treatment ecosystem.

Staff perspectives on the feasibility of a clinical pathway for anxiety and depression in cancer care, and mid-implementation adaptations

BACKGROUND

Clinical pathways (CPs) are intended to standardise and improve care but do not always produce positive outcomes, possibly because they were not adapted to suit the specific context in which they were enacted. This qualitative study aimed to explore staff perspectives of implementation of a CP for routine screening, assessment, referral and management of anxiety and depression (the ADAPT CP) for patients with cancer, focussing on perceived feasibility of the CP and negotiated adaptations made during the implementation phase.

METHODS

The ADAPT CP was implemented in 12 urban and regional oncology services in Australia. Services were randomised to receive core versus enhanced implementation strategies. Core sites received support until implementation commencement and could access progress reports. Enhanced sites received proactive, ongoing support during the 12-month implementation. Purposively selected staff were interviewed prior to implementation (n = 88) and 6 months later, half-way through the implementation period (n = 89). Monthly meetings with lead multi-disciplinary teams at the eight enhanced sites were recorded. Data were thematically analysed.

RESULTS

Six overarching themes were identified: ADAPT is of high value; timing for introducing the CP and screening is difficult; online screening is challenging; a burden too much; no-one to refer patients to; and micro-logistics are key. While early screening was deemed desirable, diverse barriers meant this was complex, with adaptations made to time and screening location. Online screening prompted by email, seen as time-saving and efficient, also proved unsuccessful in some services, with adaptations made to in-clinic or phone screening, or repeated email reminders. Staff negative attitudes to ADAPT, time constraints, and perceived poor fit of ADAPT to work roles and flows, all impacted implementation, with key tasks often devolving to a few key individuals. Nevertheless, services remained committed to the ADAPT CP, and worked hard to create, review and adapt strategies to address challenges to optimise success.

CONCLUSIONS

This study demonstrates the interactive nature of health service change, with staff actively engaging with, forming views on, and problem-solving adaptations of the ADAPT CP to overcome barriers. Obtaining staff feedback is critical to ensure health service change is sustainable, meaningful and achieves its promise of improving patient outcomes.

TRIAL REGISTRATION

The study was registered prospectively with the ANZCTR on 22/3/2017. Trial ID ACTRN12617000411347.

Efficacy of a minimally guided internet treatment for alcohol misuse and emotional problems in young adults: Results of a randomized controlled trial

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Cognitive-behavioural therapy (CBT) and motivational interviewing (MI) can be readily adapted for brief, minimally guided, online interventions.

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Minimally guided online treatment is beneficial for hazardous drinking, mood difficulties, and quality of life in the short-term among young adults.

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Strategies designed to increase treatment engagement will likely mitigate the risk of attrition in future programs.

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Future versions of the Take Care of Me program are still needed to determine long-term effects and differential responses to treatment.

Many young adults struggle with comorbid alcohol misuse and emotional problems (i.e., depression and anxiety). However, there is currently a paucity of evidence-based, integrated, accessible treatment options for individuals with these comorbidities. The main goal of this study was to examine efficacy of a novel online, minimally guided, integrated program for comorbid alcohol misuse and emotional problems in young adults. Method: The study was an open-label two-arm RCT. Participants (N = 222, M_age = 24.6, 67.6% female) were randomized to one of two conditions: the Take Care of Me program (an 8-week, online integrated treatment condition consisting of 12 modules), or an online psychoeducational control condition. Intervention modules incorporated content based on principles of cognitive behavioral therapy and motivational interviewing. Participants completed assessment data at baseline, at the end of treatment (i.e., 8 weeks), and at follow-up (i.e., 24 weeks). Data were analyzed using generalized linear mixed models. Results: We observed that participants in the treatment condition showed larger reductions in depression, hazardous drinking, as well as increases in psychological quality of life and confidence at the end of treatment. We did not find group differences on total alcohol use at follow-up, but participants in the treatment group reduced their hazardous drinking and improved their quality of life at 24-week follow-up. Conclusions: Our study provides promising initial evidence for the first iteration of the comorbid alcohol misuse and emotional problems online program.

Factor analysis of depression symptoms across five broad cultural groups

INTRODUCTION

Core symptoms of depression are likely universal, however cultural groups differ in their experience of the condition. The purpose of this study was to examine differences and similarities of depression symptom groupings between broad cultural groups.

METHOD

6,982 adults took part in an online multilingual depression screening study, and completed an 18-item major depression screener. Participants were categorized into five broad cultural groups by language and country of residence: Spanish speakers from Latin America (n = 3,411); English speakers from Southeast Asia (n = 1,265); Russian speakers from the former Soviet bloc (n = 642); English speakers from English-speaking Western countries (n = 999); and Chinese speakers from China (n = 665). Principal components analysis with promax rotation was used.

RESULTS

Both similarities and noteworthy differences in symptom clustering between groups were observed. For instance, though suicide-related items formed a separate cluster for most cultures, for the Latin-American group, worthlessness loaded with suicidality. Changes in appetite and changes in weight tended to load on different factors (except for Chinese and Russian groups). Hypersomnia tended to load with psychomotor agitation, and core depression symptoms tended to load with physical symptoms (except for the Russian group).

LIMITATIONS

Depression was assessed by a self-report measure aligned to DSM-IV.

CONCLUSION

The analysis contributes to a nuanced understanding of depression manifestations of various cultures, which may inform culturally sensitive clinical practice.

Predictors of Research Assessment Completion in a Latino Sample with Dual Disorders

Latinos are underrepresented in clinical trials, where they encounter challenges in participation and a lack of effective recruitment and retention strategies. For Latino migrants with mental health and substance use problems, these challenges are even greater. Analyzing results from a multicenter randomized clinical trial for Latino migrants with mental health and substance use problems in Boston, Massachusetts, USA as well as Madrid and Barcelona, Spain, we describe six retention strategies used to facilitate participant engagement in follow-up assessments, and report the sociodemographic, clinical, and educational factors associated with research assessment completion. Among 341 randomized participants, 77% completed the 12-month follow-up and 75% completed at least 3 of the 4 follow-up assessments. Having a high school diploma, being recruited at community centers versus other sites, and having a less severe mental health condition were significantly associated with completing more follow-up interviews. Rigorous and customized methods reflecting participant's individual context can bolster research assessment completion for diverse Latino populations with behavioral health concerns.

A systematic review of online depression screening tools for use in the South African context

Background

According to the World Health Organization, the alarming increase in rates of depression globally has become a serious concern. In 2010, the prevalence rate of depression in South Africa was 4.6%. Given the context of South Africa where the majority of the population have limited access to healthcare facilities and 59.3% of the population have access to the Internet, an online depression screening tool would have much to offer.

Objective

To determine whether online depression screening tools would be suitable for use in South Africa.

Methods

This study presents a systematic review of online depression screening tools to determine whether one would be suitable for use in South Africa. Articles were accessed from seven electronic databases from 1970 to 2018. All articles included in the review were critically appraised.

Results

A total of 17 articles met the inclusion criteria. From the results, there was only one screening tool available on an open access platform for use by the general population. The most common depression online screening tools were the Beck Depression Inventory-II (BDI-II), the Center for Epidemiology Studies Depression Scale (CES-D) and the Patient Health Questionnaire (PHQ-9). It was also evident that there were negligible differences in the psychometric properties of online versus paper versions of the online screening tools. Furthermore, there were very few studies that considered the African or South African population and no online screening tools for major depressive disorder (MDD) developed in these contexts.

Conclusion

There appears to be a need for a depression screening tool to be adapted for online usage in South Africa. It is recommended that the online screening tool should be adapted from the three commonly used online depression screening tools: PHQ-9, CES-D and BDI-II.

Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support

BACKGROUND

Digital technology is increasingly being used to enhance health care in various areas of medicine. In the area of serious mental illness, it is important to understand the special characteristics of target users that may influence motivation and competence to use digital health tools, as well as the resources and training necessary for these patients to facilitate the use of this technology.

OBJECTIVE

The aim of this study was to conduct a quantitative expert consensus survey to identify key characteristics of target users (patients and health care professionals), barriers and facilitators for appropriate use, and resources needed to optimize the use of digital health tools in patients with serious mental illness.

METHODS

A panel of 40 experts in digital behavioral health who met the participation criteria completed a 19-question survey, rating predefined responses on a 9-point Likert scale. Consensus was determined using a chi-square test of score distributions across three ranges (1-3, 4-6, 7-9). Categorical ratings of first, second, or third line were designated based on the lowest category into which the CI of the mean ratings fell, with a boundary >6.5 for first line. Here, we report experts' responses to nine questions (265 options) that focused on (1) user characteristics that would promote or hinder the use of digital health tools, (2) potential benefits or motivators and barriers or unintended consequences of digital health tool use, and (3) support and training for patients and health care professionals.

RESULTS

Among patient characteristics most likely to promote use of digital health tools, experts endorsed interest in using state-of-the-art technology, availability of necessary resources, good occupational functioning, and perception of the tool as beneficial. Certain disease-associated signs and symptoms (eg, more severe symptoms, substance abuse problems, and a chaotic living situation) were considered likely to make it difficult for patients to use digital health tools. Enthusiasm among health care professionals for digital health tools and availability of staff and equipment to support their use were identified as variables to enable health care professionals to successfully incorporate digital health tools into their practices. The experts identified a number of potential benefits of and barriers to use of digital health tools by patients and health care professionals. Experts agreed that both health care professionals and patients would need to be trained in the use of these new technologies.

CONCLUSIONS

These results provide guidance to the mental health field on how to optimize the development and deployment of digital health tools for patients with serious mental illness.

Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback

BACKGROUND

Given the widespread availability of mental health screening apps, providing personalized feedback may encourage people at high risk to seek help to manage their symptoms. While apps typically provide personal score feedback only, feedback types that are user-friendly and increase personal relevance may encourage further help-seeking.

OBJECTIVE

The aim of this study was to compare the effects of providing normative and humor-driven feedback on immediate online help-seeking, defined as clicking on a link to an external resource, and to explore demographic predictors that encourage help-seeking.

METHODS

An online sample of 549 adults were recruited using social media advertisements. Participants downloaded a smartphone app known as "Mindgauge" which allowed them to screen their mental wellbeing by completing standardized measures on Symptoms (Kessler 6-item Scale), Wellbeing (World Health Organization [Five] Wellbeing Index), and Resilience (Brief Resilience Scale). Participants were randomized to receive normative feedback that compared their scores to a reference group or humor-driven feedback that presented their scores in a relaxed manner. Those who scored in the moderate or poor ranges in any measure were encouraged to seek help by clicking on a link to an external online resource.

RESULTS

A total of 318 participants scored poorly on one or more measures and were provided with an external link after being randomized to receive normative or humor-driven feedback. There was no significant difference of feedback type on clicking on the external link across all measures. A larger proportion of participants from the Wellbeing measure (170/274, 62.0%) clicked on the links than the Resilience (47/179, 26.3%) or Symptoms (26/75, 34.7%) measures (χ²=60.35, P<.001). There were no significant demographic factors associated with help-seeking for the Resilience or Wellbeing measures. Participants with a previous episode of poor mental health were less likely than those without such history to click on the external link in the Symptoms measure (P=.003, odds ratio [OR] 0.83, 95% CI 0.02-0.44), and younger adults were less likely to click on the link compared to older adults across all measures (P=.005, OR 0.44, 95% CI 0.25-0.78).

CONCLUSIONS

This pilot study found that there was no difference between normative and humor-driven feedback on promoting immediate clicks to an external resource, suggesting no impact on online help-seeking. Limitations included: lack of personal score control group, limited measures of predictors and potential confounders, and the fact that other forms of professional help-seeking were not assessed. Further investigation into other predictors and factors that impact on help-seeking is needed.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12616000707460; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370187 (Archived by WebCite at http://www.webcitation.org/6y8m8sVxr).

Online versus paper-based screening for depression and anxiety in adults with cystic fibrosis in Ireland: a cross-sectional exploratory study

OBJECTIVE

To compare online and paper-based screening for depression and anxiety in adults with cystic fibrosis (CF).

DESIGN AND SETTING

Cross-sectional study in CF clinics in Ireland and through the Cystic Fibrosis Ireland online community.

PARTICIPANTS

160 adult patients aged 18 or above were recruited. Of these, 147 were included in the analysis; 83 online and 64 paper-based. The remaining 13 were excluded because of incomplete data.

MEASURES

Depression and anxiety were measured using the Hospital Anxiety and Depression Scale (HADS). Data on pulmonary function (forced expiratory volume in 1 s %) and body mass index were self-reported based on clinical assessments. Sociodemographic data were collected.

RESULTS

Compared with the paper-based participants, the online participants were more likely to be female (61.7% vs 48.4%), older (mean 32.2 vs 28.2 years) and were more likely to be married (32.5% vs 15.6%), living with their spouse or partner (42.5% vs 22.6%) and working either full time (33.7% vs 15.9%) or part time (30.1%vs 17.5%). The prevalence rates of elevated anxiety and depression were not significantly different (P=0.71 and P=0.56). HADS anxiety and depression scores were not statistically different between online (P=0.83) and paper-based (P=0.92) participants based on Mann-Whitney U test. A significant negative correlation was found between depression and pulmonary function (r=-0.39, P=0.01) and anxiety and pulmonary function (r=-0.36, P=0.02). Based on Cronbach's alpha, there were no statistically significant differences between the online and paper-based participants on the internal consistency of the HADS anxiety (P=0.073) and depression (P=0.378) scales.

CONCLUSIONS

Our findings suggest that online and paper-based screening for depression and anxiety in adult patients with CF yield comparable findings on prevalence rates and scores, associations with health and internal consistency of subscales. This study highlights that online screening offers an alternative method to paper-based screening. Further research with a larger sample and assessment of measurement equivalence between online and paper based screening is needed to confirm our results.

Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel

Background

Knowing about predictors of attrition in a panel is important to initiate early measures against loss of participants. We investigated attrition in both early and late phase of an online panel with special focus on preferences regarding mode of participation.

Methods

We used data from the HaBIDS panel that was designed to investigate knowledge, attitudes, and practice regarding infections in the German general population. HaBIDS was divided into two phases: an initial phase when some participants could choose their preferred mode of participation (paper-and-pencil or online) and an extended phase when participants were asked to become members of an online panel that was not limited regarding its duration (i.e. participants initially preferring paper questionnaires switched to online participation). Using competing risks regression, we investigated two types of attrition (formal withdrawal and discontinuation without withdrawal) among online participants, separately for both phases. As potential predictors of attrition, we considered sociodemographic characteristics, physical and mental health as well as auxiliary information describing the survey process, and, in the extended phase, initial mode preference.

Results

In the initial phase, higher age and less frequent Internet usage predicted withdrawal, while younger age, higher stress levels, delay in returning the consent form, and need for receiving reminder emails predicted discontinuation. In the extended phase, only need for receiving reminder emails predicted discontinuation. Numbers of withdrawal in the extended phase were too small for analysis. Initial mode preference did not predict attrition in the extended phase. Besides age, there was no evidence of differential attrition by sociodemographic factors in any phase.

Conclusions

Predictors of attrition were similar in both phases of the panel, but they differed by type of attrition (withdrawal vs. discontinuation). Sociodemographic characteristics only played a minor role for both types of attrition. Need for receiving a reminder was the strongest predictor of discontinuation in any phase, but no predictor of withdrawal. We found predictors of attrition, which can be identified already in the early phase of a panel so that countermeasures (e.g. special incentives) can be taken.

Electronic supplementary material

The online version of this article (10.1186/s12874-017-0408-3) contains supplementary material, which is available to authorized users.

Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity

Background

Health care literature supports the development of accessible interventions that integrate behavioral economics, wearable devices, principles of evidence-based behavior change, and community support. However, there are limited real-world examples of large scale, population-based, member-driven reward platforms. Subsequently, a paucity of outcome data exists and health economic effects remain largely theoretical. To complicate matters, an emerging area of research is defining the role of Superusers, the small percentage of unusually engaged digital health participants who may influence other members.

Objective

The objective of this preliminary study is to analyze descriptive data from GOODcoins, a self-guided, free-to-consumer engagement and rewards platform incentivizing walking, running and cycling. Registered members accessed the GOODcoins platform through PCs, tablets or mobile devices, and had the opportunity to sync wearables to track activity. Following registration, members were encouraged to join gamified group challenges and compare their progress with that of others. As members met challenge targets, they were rewarded with GOODcoins, which could be redeemed for planet- or people-friendly products.

Methods

Outcome data were obtained from the GOODcoins custom SQL database. The reporting period was December 1, 2014 to May 1, 2015. Descriptive self-report data were analyzed using MySQL and MS Excel.

Results

The study period includes data from 1298 users who were connected to an exercise tracking device. Females consisted of 52.6% (n=683) of the study population, 33.7% (n=438) were between the ages of 20-29, and 24.8% (n=322) were between the ages of 30-39. 77.5% (n=1006) of connected and active members met daily-recommended physical activity guidelines of 30 minutes, with a total daily average activity of 107 minutes (95% CI 90, 124). Of all connected and active users, 96.1% (n=1248) listed walking as their primary activity. For members who exchanged GOODcoins, the mean balance was 4,000 (95% CI 3850, 4150) at time of redemption, and 50.4% (n=61) of exchanges were for fitness or outdoor products, while 4.1% (n=5) were for food-related items. Participants were most likely to complete challenges when rewards were between 201-300 GOODcoins.

Conclusions

The purpose of this study is to form a baseline for future research. Overall, results indicate that challenges and incentives may be effective for connected and active members, and may play a role in achieving daily-recommended activity guidelines. Registrants were typically younger, walking was the primary activity, and rewards were mainly exchanged for fitness or outdoor products. Remaining to be determined is whether members were already physically active at time of registration and are representative of healthy adherers, or were previously inactive and were incentivized to change their behavior. As challenges are gamified, there is an opportunity to investigate the role of superusers and healthy adherers, impacts on behavioral norms, and how cooperative games and incentives can be leveraged across stratified populations. Study limitations and future research agendas are discussed.

Online screening and feedback to increase help-seeking for mental health problems: population-based randomised controlled trial

BACKGROUND

Community-based screening for mental health problems may increase service use through feedback to individuals about their severity of symptoms and provision of contacts for appropriate services.

AIMS

The effect of symptom feedback on service use was assessed. Secondary outcomes included symptom change and study attrition.

METHOD

Using online recruitment, 2773 participants completed a comprehensive survey including screening for depression (n=1366) or social anxiety (n=1407). Across these two versions, approximately half (n=1342) of the participants were then randomly allocated to receive tailored feedback. Participants were reassessed after 3 months (Australian New Zealand Clinical Trials Registry ANZCTR12614000324617).

RESULTS

A negative effect of providing social anxiety feedback to individuals was observed, with significant reductions in professional service use. Greater attrition and lower intentions to seek help were also observed after feedback.

CONCLUSIONS

Online mental health screening with feedback is not effective for promoting professional service use. Alternative models of online screening require further investigation.

DECLARATION OF INTEREST

None.

COPYRIGHT AND USAGE

© The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Visual mental imagery and symptoms of depression - results from a large-scale web-based study

BACKGROUND

Mental imagery may influence the onset and maintenance of depression, but specific mechanisms have not yet been determined.

METHODS

Nine hundred twelve participants completed questionnaires on positive and negative mental images, as well as images of injury and death that lead to positive emotions ("ID-images"), and depressive symptomatology. The assessment was carried out online to reduce effects of social desirability.

RESULTS

Positive images were reported by 87 % of the sample, negative images by 77 %. ID-images were present in one-third of the sample. A connection with depression severity was found for the absence of positive mental images and the presence of negative images as well as ID-images. Higher depression scores were associated with more frequent and vivid negative images, greater imagery distress, and a higher proportion of negative relative to positive images.

CONCLUSIONS

Mental images are clearly related to depression. Future research should focus on ID-images and their connection to suicide-risk in depressed patients.

The Development and Refinement of an e-Health Screening, Brief Intervention, and Referral to Treatment for Parents to Prevent Childhood Obesity in Primary Care

BACKGROUND

Nearly one-third of Canadian children can be categorized as overweight or obese. There is a growing interest in applying e-health approaches to prevent unhealthy weight gain in children, especially in settings that families access regularly. Our objective was to develop and refine an e-health screening, brief intervention, and referral to treatment (SBIRT) for parents to help prevent childhood obesity in primary care.

MATERIALS AND METHODS

Our SBIRT, titled the Resource Information Program for Parents on Lifestyle and Education (RIPPLE), was developed by our research team and an e-health intervention development company. RIPPLE was based on existing SBIRT models and contemporary literature on children's lifestyle behaviors. Refinements to RIPPLE were guided by feedback from five focus groups (6-10 participants per group) that documented perceptions of the SBIRT by participants (healthcare professionals [n = 20], parents [n = 10], and researchers and graduate trainees [n = 8]). Focus group commentaries were transcribed in real time using a court reporter. Data were analyzed thematically.

RESULTS

Participants viewed RIPPLE as a practical, well-designed, and novel tool to facilitate the prevention of childhood obesity in primary care. However, they also perceived that RIPPLE may elicit negative reactions from some parents and suggested improvements to specific elements (e.g., weight-related terms).

CONCLUSIONS

RIPPLE may enhance parents' awareness of children's weight status and motivation to change their children's lifestyle behaviors but should be improved prior to implementation. Findings from this research directly informed revisions to our SBIRT, which will undergo preliminary testing in a randomized controlled trial.

Targeting Medication Non-Adherence Behavior in Selected Autoimmune Diseases: A Systematic Approach to Digital Health Program Development

BACKGROUND

29 autoimmune diseases, including Rheumatoid Arthritis, gout, Crohn's Disease, and Systematic Lupus Erythematosus affect 7.6-9.4% of the population. While effective therapy is available, many patients do not follow treatment or use medications as directed. Digital health and Web 2.0 interventions have demonstrated much promise in increasing medication and treatment adherence, but to date many Internet tools have proven disappointing. In fact, most digital interventions continue to suffer from high attrition in patient populations, are burdensome for healthcare professionals, and have relatively short life spans.

OBJECTIVE

Digital health tools have traditionally centered on the transformation of existing interventions (such as diaries, trackers, stage-based or cognitive behavioral therapy programs, coupons, or symptom checklists) to electronic format. Advanced digital interventions have also incorporated attributes of Web 2.0 such as social networking, text messaging, and the use of video. Despite these efforts, there has not been little measurable impact in non-adherence for illnesses that require medical interventions, and research must look to other strategies or development methodologies. As a first step in investigating the feasibility of developing such a tool, the objective of the current study is to systematically rate factors of non-adherence that have been reported in past research studies.

METHODS

Grounded Theory, recognized as a rigorous method that facilitates the emergence of new themes through systematic analysis, data collection and coding, was used to analyze quantitative, qualitative and mixed method studies addressing the following autoimmune diseases: Rheumatoid Arthritis, gout, Crohn's Disease, Systematic Lupus Erythematosus, and inflammatory bowel disease. Studies were only included if they contained primary data addressing the relationship with non-adherence.

RESULTS

Out of the 27 studies, four non-modifiable and 11 modifiable risk factors were discovered. Over one third of articles identified the following risk factors as common contributors to medication non-adherence (percent of studies reporting): patients not understanding treatment (44%), side effects (41%), age (37%), dose regimen (33%), and perceived medication ineffectiveness (33%). An unanticipated finding that emerged was the need for risk stratification tools (81%) with patient-centric approaches (67%).

CONCLUSIONS

This study systematically identifies and categorizes medication non-adherence risk factors in select autoimmune diseases. Findings indicate that patients understanding of their disease and the role of medication are paramount. An unexpected finding was that the majority of research articles called for the creation of tailored, patient-centric interventions that dispel personal misconceptions about disease, pharmacotherapy, and how the body responds to treatment. To our knowledge, these interventions do not yet exist in digital format. Rather than adopting a systems level approach, digital health programs should focus on cohorts with heterogeneous needs, and develop tailored interventions based on individual non-adherence patterns.