Implementation strategies for digital mental health interventions in health care settings.
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ABSTRACT:
SUBMITTER: Graham AK
PROVIDER: S-EPMC7709140 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDigital interventions offer a solution to address the high demand for mental health promotion, especially when facing physical contact restrictions or lacking accessibility. Engagement with digital interventions is critical for their effectiveness; however, retaining users' engagement throughout the intervention is challenging. It remains unclear what strategies facilitate engagement with digital interventions that target mental health promotion.ObjectiveOur aim is to conduct a scoping review to investigate user engagement strategies and methods to evaluate engagement with digital interventions that target mental health promotion in adults.MethodsThis scoping review adheres to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews. The search was conducted in 7 electronic databases from inception to April 2020. The inclusion criteria for studies were as follows: adult (aged ≥18 years) users of digital interventions for mental health promotion from the general population; any digital intervention for mental health promotion; and user engagement strategies described in the intervention design. We extracted the following data items: study characteristics, digital intervention (type and engagement strategy), evaluation of engagement strategy (method and result specifying whether the strategy was effective at facilitating engagement), and features of engagement (extent of use and subjective experience of users).ResultsA total of 2766 studies were identified, of which 16 (0.58%) met the inclusion criteria. The 16 studies included randomized controlled trials (6/16, 37%), studies analyzing process data (5/16, 31%), observational studies (3/16, 19%), and qualitative studies (2/16, 13%). The digital interventions for mental health promotion were either web based (12/16, 75%) or mobile app based (4/16, 25%). The engagement strategies included personalized feedback about intervention content or users' mental health status; guidance regarding content and progress through e-coaching; social forums, and interactivity with peers; content gamification; reminders; and flexibility and ease of use. These engagement strategies were deemed effective based on qualitative user feedback or responses on questionnaires or tools (4/16, 25%), usability data (5/16, 31%), or both (7/16, 44%). Most studies identified personalized support in the form of e-coaching, peer support through a social platform, personalized feedback, or joint videoconference sessions as an engaging feature.ConclusionsPersonalized support during the intervention, access to social support, and personalized feedback seem to promote engagement with digital interventions for mental health promotion. These findings need to be interpreted with caution because the included studies were heterogeneous, had small sample sizes, and typically did not address engagement as the primary outcome. Despite the importance of user engagement for the effectiveness of digital interventions, this field has not yet received much attention. Further research is needed on the effectiveness of different strategies required to facilitate user engagement in digital interventions for mental health promotion.
| S-EPMC8726056 | biostudies-literature
Project description:BackgroundThe COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.ObjectiveTo address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.MethodsWe searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.ResultsOf the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.ConclusionsDigital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.
| S-EPMC9109782 | biostudies-literature
Project description:In an effort to accelerate progress towards achieving Millennium Development Goal (MDG) 4 and 5, provision of essential reproductive, maternal, newborn and child health (RMNCH) interventions is being considered. Not only should a state-of-the-art approach be taken for services delivered to the mother, neonate and to the child, but services must also be deployed across the household to hospital continuum of care approach and in the form of packages. The paper proposed several packages for improved maternal, newborn and child health that can be delivered across RMNCH continuum of care. These packages include: supportive care package for women to promote awareness related to healthy pre-pregnancy and pregnancy interventions; nutritional support package for mother to improve supplementation of essential nutrients and micronutrients; antenatal care package to detect, treat and manage infectious and noninfectious diseases and promote immunization; high risk care package to manage preeclampsia and eclampsia in pregnancy; childbirth package to promote support during labor and importance of skilled birth attendance during labor; essential newborn care package to support healthy newborn care practices; and child health care package to prevent and manage infections. This paper further discussed the implementation strategies for employing these interventions at scale.
| S-EPMC4145859 | biostudies-other
Project description:BackgroundAlthough digital mental health interventions (DMHIs) offer a potential solution for increasing access to mental health treatment, their integration into real-world settings has been slow. A key reason for this is poor user engagement. A growing number of studies evaluating strategies for promoting engagement with DMHIs means that a review of the literature is now warranted. This systematic review is the first to synthesise evidence on technology-supported strategies for promoting engagement with DMHIs.MethodsMEDLINE, EmbASE, PsycINFO and PubMed databases were searched from 1 January 1995 to 1 October 2021. Experimental or quasi-experimental studies examining the effect of technology-supported engagement strategies deployed alongside DMHIs were included, as were secondary analyses of such studies. Title and abstract screening, full-text coding and quality assessment were performed independently by two authors. Narrative synthesis was used to summarise findings from the included studies.Results24 studies (10,266 participants) were included. Engagement strategies ranged from reminders, coaching, personalised information and peer support. Most strategies were disseminated once a week, usually via email or telephone. There was some empirical support for the efficacy of technology-based strategies towards promoting engagement. However, findings were mixed regardless of strategy type or study aim.ConclusionsTechnology-supported strategies appear to increase engagement with DMHIs; however, their efficacy varies widely by strategy type. Future research should involve end-users in the development and evaluation of these strategies to develop a more cohesive set of strategies that are acceptable and effective for target audiences, and explore the mechanism(s) through which such strategies promote engagement.
| S-EPMC9168921 | biostudies-literature
Project description:While most psychosocial and behavioral digital health interventions have been designed to be consumed by an individual, intervening at the level of a dyad - two interdependent individuals - can more comprehensively address the needs of both individuals and their relationship. The clinical utility of the dyadic digital health intervention approach, as well as the practical implementation of this design, will be demonstrated via three examples: eSCCIP, FAMS, and OurRelationship.
| S-EPMC9668031 | biostudies-literature
Project description:Globally, most young people living with mental health conditions lack access to mental health care but have access to a mobile device. The growing access to mobile devices in South Africa has the potential to increase access to mental health care services through digital platforms. However, uptake of digital mental health interventions may be hampered by several factors, such as privacy, confidentiality, informed consent, and affordability. This study identified the prospects and challenges of implementing a mobile phone-based mental health intervention for young people in Ingwavuma area. Data were collected from 93 young people in three villages purposefully selected in Ingwavuma area. Participants included in the study were aged 16-24. Data were collected through a questionnaire. Thematic and descriptive analysis was performed on the qualitative and quantitative data, respectively. Mental health education was low, with only 22% of participants having received prior education on mental health. About 50% of the participants had come across a mental health app, but none of them had used any of these apps; 87% of participants had Internet access; 60% preferred to use social media to contact a health worker; and 92% suggested that use of digital apps would improve mental health literacy among young people. Barriers to access of digital mental health interventions were identified as the high cost of data, restrictive religious beliefs, limited privacy, lack of native languages on most digital platforms, low digital literacy, and complicated user interface. In uMkhanyakude, uptake of digital mental health apps among the young people was low. We recommend that, developers create context-specific digital applications catered for young people from different cultural backgrounds. Socio-economic issues such as affordability also need to be addressed in developing these tools.
| S-EPMC9859354 | biostudies-literature
Project description:Introduction Personalization is a much-discussed approach to improve adherence and outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open, such as (1) what personalization is, (2) how prevalent it is in practice, and (3) what benefits it truly has. Methods We address this gap by performing a systematic literature review identifying all empirical studies on DMHIs targeting depressive symptoms in adults from 2015 to September 2022. The search in Pubmed, SCOPUS and Psycinfo led to the inclusion of 138 articles, describing 94 distinct DMHIs provided to an overall sample of approximately 24,300 individuals. Results Our investigation results in the conceptualization of personalization as purposefully designed variation between individuals in an intervention's therapeutic elements or its structure. We propose to further differentiate personalization by what is personalized (i.e., intervention content, content order, level of guidance or communication) and the underlying mechanism [i.e., user choice, provider choice, decision rules, and machine-learning (ML) based approaches]. Applying this concept, we identified personalization in 66% of the interventions for depressive symptoms, with personalized intervention content (32% of interventions) and communication with the user (30%) being particularly popular. Personalization via decision rules (48%) and user choice (36%) were the most used mechanisms, while the utilization of ML was rare (3%). Two-thirds of personalized interventions only tailored one dimension of the intervention. Discussion We conclude that future interventions could provide even more personalized experiences and especially benefit from using ML models. Finally, empirical evidence for personalization was scarce and inconclusive, making further evidence for the benefits of personalization highly needed. Systematic Review Registration Identifier: CRD42022357408.
| S-EPMC10239832 | biostudies-literature
Project description:BackgroundUrgent and emergency care (UEC) settings provide an opportunity to prevent ill-health and promote healthy lifestyles with potential to screen and deliver interventions to under-served, at-risk populations. The aim of this study was to synthesise and summarise the evidence on the effectiveness and implementation of interventions for health promotion in UEC settings.MethodsPubMed and Embase (OVID) databases were used to search for studies published in English between January 2010 and January 2023. Systematic reviews and meta-analyses of studies that examined the effectiveness or implementation of face-to-face health promotion interventions for lifestyle behaviours delivered in UEC settings were eligible. Extracted data were synthesised and qualitatively summarised by lifestyle behaviour. Reviews were quality assessed using AMSTAR 2.ResultsEighteen reviews met the inclusion criteria; all included studies were conducted in emergency departments or trauma units. We identified 15 reviews on alcohol interventions (13 on effectiveness; 2 on implementation) and 3 on smoking interventions (effectiveness). There were no reviews of intervention studies targeting physical activity or diet and nutrition. There was heterogeneity across studies for study design, target populations, intervention design and content, comparator/control groups and outcomes assessed. The effectiveness of alcohol and smoking interventions in UEC settings varied but some reviews provided evidence of a significant decrease in alcohol consumption, alcohol-related outcomes and smoking in intervention groups, particularly in the short-term and in specific population groups. Research has focused on 'brief' interventions as part of screening, brief intervention and referral to treatment (SBIRT) approaches. Interventions are delivered by a wide range of staff with substantial variation in design. Alcohol brief interventions appear to be acceptable to UEC patients but clinicians face barriers in delivering them.ConclusionsUEC settings have been under-researched and appear to be under-utilised for delivering health promotion activities, except for alcohol prevention. Review level evidence suggests alcohol and smoking interventions are warranted in some population groups. However, further research is needed to determine the optimal intervention design, content and delivery mode for lifestyle behaviours which are suitable for implementation in UEC settings and promote long-term intervention effectiveness. Changes in clinical practice may be needed, including increased training, integration into service delivery and supportive policy, to facilitate the implementation of SBIRT for lifestyle behaviours. Interventions may need to be delivered in the wider UEC system such as urgent care centres, minor injury units and walk-in centres, in addition to emergency departments and trauma units, to support and increase health promotion activities in UEC settings.
| S-EPMC10080902 | biostudies-literature
Project description:In psychiatry, the selection of antipsychotics and antidepressants is generally led by a trial-and-error approach. The prescribing of these medications is complicated by sub-optimal efficacy and high rates of adverse drug reactions (ADRs). These both contribute to poor levels of adherence. Pharmacogenetics (PGx) considers how genetic variation can influence an individual's response to a drug. Pharmacogenetic testing is a tool that could aid clinicians when selecting psychotropic medications, as part of a more personalized approach to prescribing. This may improve the use of and adherence to these medications. Yet to date, the implementation of PGx in mental health environments in the United Kingdom has been slow. This review aims to identify the current barriers and enablers to the implementation of PGx in psychiatry and determine how this can be applied to the uptake of PGx by NHS mental health providers. A systematic searching strategy was developed, and searches were carried out on the PsychInfo, EmBase, and PubMed databases, yielding 11 appropriate papers. Common barriers to the implementation of PGx included cost, concerns over incorporation into current workflow and a lack of knowledge about PGx; whilst frequent enablers included optimism that PGx could lead to precision medicine, reduce ADRs and become a more routine part of psychiatric clinical care. The uptake of PGx in psychiatric care settings in the NHS should consider and overcome these barriers, while looking to capitalize on the enablers identified in this review.
| S-EPMC8493030 | biostudies-literature
Project description:BackgroundTailored implementation approaches are touted as superior to standardized ones with the reasoning that tailored approaches afford opportunities to select strategies to resolve determinants of the local context. However, results from implementation trials on this topic are equivocal. Therefore, it is important to explore relevant contextual factors that function as determinants to evaluate if they are improved by tailoring and subsequently associated with changes in implementation outcomes (i.e., via statistical mediation) to better understand how tailoring achieves (or does not achieve) its effects. The present study examined the association between a tailored and standardized implementation approach, contextual factors that might mediate change, and a target implementation outcome in an initiative to implement measurement-based care (specifically the clinical integration of the Patient Health Questionnaire [PHQ-9] for depression) in a community mental health organization.MethodsUsing a cluster randomized control design, twelve community-based mental health clinics were assigned to a tailored or standardized implementation group. Clinicians completed a self-report battery assessing contextual factors that served as candidate mediators informed by the Framework for Dissemination at three time points: baseline, 5 months after active implementation support, and 10 months after sustainment monitoring. A subset of clinicians also participated in focus groups at 5 months. The routine use of the PHQ-9 (implementation outcome) was monitored during the 10-month sustainment period. Multi-level mediation analyses assessed the association between the implementation group and contextual factors and the association between contextual factors and PHQ-9 completion. Quantitative results were then elaborated by analyzing qualitative data from exemplar sites.ResultsAlthough tailored clinics outperformed standard clinics in terms of PHQ-9 completion at the end of active implementation, these group differences disappeared post sustainment monitoring. Perhaps related to this, no significant mediators emerged from our quantitative analyses. Exploratory qualitative analyses of focus group content emphasized the importance of support from colleagues, supervisors, and leadership when implementing clinical innovations in practice.ConclusionsAlthough rates of PHQ-9 completion improved across the study, their sustained levels were roughly equivalent across groups and low overall. No mediators were established using quantitative methods; however, several partial quantitative pathways, as well as themes from the qualitative data, reveal fruitful areas for future research.Trial registrationStandardized versus tailored implementation of measurement-based care for depression.Clinicaltrialsgov NCT02266134, first posted on October 16, 2014.
| S-EPMC9587549 | biostudies-literature