Evaluation Of Health Interventions Research Articles

Considering patient perspectives in economic evaluations of health interventions.

Current guidelines for evaluating the cost-effectiveness of health interventions commonly recommend the use of a payer and/or a societal perspective. This raises the concern that the resulting reimbursement decision may overlook the full spectrum of impacts and equity considerations. In this paper, we argue that a potential solution is to supplement a societal- or payer-perspective economic evaluation with an additional evaluation accounting for exclusively the patient perspective. We present five categories of health interventions for which a patient-perspective analysis may be informative including those (1) that cross the definitional boundary between drugs and non-drug technologies; (2) affect patient adherence to protocol; (3) represent revolutionary treatments for genetic disorders; (4) with an incremental cost-effectiveness ratio involving slightly less effective, but substantially less costly, than the current standard; and (5) have been previously approved for funding but now being targeted for potential delisting or disinvestment. Real-world examples are discussed in detail. Lived experience individuals were invited to provide vignettes. Discussions are provided regarding how to incorporate patient inputs to improve patient-centered decision-making.

Preliminary Evaluation of Mindful-u Digital Health Intervention for Young Adults

Preliminary Evaluation of Mindful-u Digital Health Intervention for Young Adults

From formative design to service-ready therapeutic: A pragmatic approach to designing digital mental health interventions across domains

As digital mental health interventions (DMHIs) proliferate, there is a growing need to understand the complexities of moving these tools from concept and design to service-ready products. We highlight five case studies from a center that specializes in the design and evaluation of digital mental health interventions to illustrate pragmatic approaches to the development of digital mental health interventions, and to make transparent some of the key decision points researchers encounter along the design-to-product pipeline. Case studies cover different key points in the design process and focus on partnership building, understanding the problem or opportunity, prototyping the product or service, and testing the product or service. We illustrate lessons learned and offer a series of questions researchers can use to navigate key decision points in the digital mental health intervention (DMHI) development process.

Valuing the Dental Caries Utility Index in Australia.

The Dental Caries Utility Index (DCUI) is a new oral health-specific health state classification system for adolescents, consisting of 5 domains: pain/discomfort, difficulty eating food/drinking, worried, ability to participate in activities, and appearance. Each domain has 4 response levels. This study aims to generate an Australian-specific utility algorithm for the DCUI. An online survey was conducted using a representative sample of the adult Australian general population. The discrete choice experiment (DCE) was used to elicit the preferences on 5 domains. Then, the latent utilities were anchored onto the full health-dead scale using the visual analogue scale (VAS). DCE data were modeled using conditional logit, and 2 anchoring procedures were considered: anchor based on the worst health state and a mapping approach. The optimal anchoring procedure was selected based on the model parsimony and the mean absolute error (MAE). A total of 995 adults from the Australian general population completed the survey. The conditional logit estimates on 5 dimensions and levels were monotonic and statistically significant, except for the second level of the "worried" and "appearance" domains. The mapping approach was selected based on a smaller MAE between the 2 anchoring procedures. The Australian-specific tariff of DCUI ranges from 0.1681 to 1. This study developed a utility algorithm for the DCUI. This value set will facilitate utility value calculations from the participants' responses for DCUI in economic evaluations of dental caries interventions targeted for adolescents. Preference-based quality-of-life measures (PBMs), which consist of a health state classification system and a set of utility values (a scoring algorithm), are used to generate utility weights for economic evaluations.This study is the first to develop an Australian utility value set for the Dental Caries Utility Index (DCUI), a new oral health-specific classification system for adolescents.The availability of a utility value set will enable using DCUI in economic evaluations of oral health interventions targeted for adolescents and may ultimately lead to more effective and efficient planning of oral health care services.

Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation.

Emerging adults living with type 1 diabetes (T1D) face a series of challenges with self-management and decreased health system engagement, leading to an increased risk of acute complications and hospital admissions. Effective and scalable strategies are needed to support this population to transfer seamlessly from pediatric to adult care with sufficient self-management capability. While digital health interventions for T1D self-management are a promising strategy, it remains unclear which elements work, how, and for which groups of individuals. This study aims to evaluate the design and implementation of a multicomponent SMS text message-based digital health intervention to support emerging adults living with T1D in real-world settings. The objectives are to identify the intervention components and associated mechanisms that support user engagement and T1D health care transition experiences and determine the individual characteristics that influence the implementation process. We used a realist evaluation embedded alongside a randomized controlled trial, which uses a sequential mixed methods design to analyze data from multiple sources, including intervention usage data, patient-reported outcomes, and realist interviews. In step 1, we conducted a document analysis to develop a program theory that outlines the hypothesized relationships among "individual-level contextual factors, intervention components and features, mechanisms, and outcomes," with special attention paid to user engagement. Among them, intervention components and features depict 10 core characteristics such as transition support information, problem-solving information, and real-time interactivity. The proximal outcomes of interest include user engagement, self-efficacy, and negative emotions, whereas the distal outcomes of interest include transition readiness, self-blood glucose monitoring behaviors, and blood glucose. In step 2, we plan to conduct semistructured realist interviews with the randomized controlled trial's intervention-arm participants to test the hypothesized "context-intervention-mechanism-outcome" configurations. In step 3, we plan to triangulate all sources of data using a coincidence analysis to identify the necessary combinations of factors that determine whether and how the desired outcomes are achieved and use these insights to consolidate the program theory. For step 1 analysis, we have developed the initial program theory and the corresponding data collection plan. For step 2 analysis, participant enrollment for the randomized controlled trial started in January 2023. Participant enrollment for this realist evaluation was anticipated to start in July 2023 and continue until we reached thematic saturation or achieved informational power. Beyond contributing to knowledge on the multiple pathways that lead to successful engagement with a digital health intervention as well as target outcomes in T1D care transitions, embedding the realist evaluation alongside the trial may inform real-time intervention refinement to improve user engagement and transition experiences. The knowledge gained from this study may inform the design, implementation, and evaluation of future digital health interventions that aim to improve transition experiences. PRR1-10.2196/46115.

Framework for determining the optimal course of action when efficiency and affordability measures differ by perspective in cost-effectiveness analysis—with an illustrative case of HIV treatment in Mozambique

BackgroundCost-effectiveness analysis (CEA) is a standard tool for evaluating health programs and informing decisions about resource allocation and prioritization. Most CEAs evaluating health interventions in low- and middle-income countries adopt a health sector perspective, accounting for resources funded by international donors and country governments, while often excluding out-of-pocket expenditures and time costs borne by program beneficiaries. Even when patients’ costs are included, a companion analysis focused on the patient perspective is rarely performed. We view this as a missed opportunity.MethodsWe developed methods for assessing intervention affordability and evaluating whether optimal interventions from the health sector perspective also represent efficient and affordable options for patients. We mapped the five different patterns that a comparison of the perspective results can yield into a practical framework, and we provided guidance for researchers and decision-makers on how to use results from multiple perspectives. To illustrate the methodology, we conducted a CEA of six HIV treatment delivery models in Mozambique. We conducted a Monte Carlo microsimulation with probabilistic sensitivity analysis from both patient and health sector perspectives, generating incremental cost-effectiveness ratios for the treatment approaches. We also calculated annualized patient costs for the treatment approaches, comparing the costs with an affordability threshold. We then compared the cost-effectiveness and affordability results from the two perspectives using the framework we developed.ResultsIn this case, the two perspectives did not produce a shared optimal approach for HIV treatment at the willingness-to-pay threshold of 0.3 × Mozambique’s annual GDP per capita per DALY averted. However, the clinical 6-month antiretroviral drug distribution strategy, which is optimal from the health sector perspective, is efficient and affordable from the patient perspective. All treatment approaches, except clinical 1-month distributions of antiretroviral drugs which were standard before Covid-19, had an annual cost to patients less than the country’s annual average for out-of-pocket health expenditures.ConclusionIncluding a patient perspective in CEAs and explicitly considering affordability offers decision-makers additional insights either by confirming that the optimal strategy from the health sector perspective is also efficient and affordable from the patient perspective or by identifying incongruencies in value or affordability that could affect patient participation.

The Effects of Using Psychotherapeutic e-Mental Health Interventions on Men’s Depression and Anxiety: Systematic Review and Meta-Analysis

AbstractWhile psychotherapeutic e-mental health interventions may circumvent barriers that many men face in accessing mental health care, the effects of men using these interventions have not been evaluated. We aimed to synthesise the characteristics of psychotherapeutic e-mental health interventions for depression or anxiety that have been trialled and evaluated in men, and synthesise and meta-analyse the effects of these interventions on men’s depression and anxiety, including examining influences of participant, intervention, and study characteristics on outcomes. Seven papers (N = 552 participant men) identified from systematic literature searches met inclusion criteria. A total 177 studies were excluded because although they met all other inclusion criteria, they did not present analysable data on participant men. The seven included interventions varied in content, length, and format; only one intervention was gender sensitive, having been designed specifically for men. All three randomised controlled trials detected no post-trial difference in men’s depression symptoms between intervention and control participants. All four treatment studies presenting pre-post data reported post-intervention improvements in depression or social anxiety symptoms; this was supported by our meta-analysis of two studies, which found a medium-sized, positive effect of depression treatment interventions on depression symptoms in pre-post data (g = 0.64, p < 0.005). Further meta-analyses could not be conducted due to data limitations. Psychotherapeutic e-mental health treatment interventions result in pre- to post-intervention improvements in men’s depression symptoms. There is urgent need for consideration of gender and sex in the development, evaluation, and dissemination of e-mental health interventions for men, and for further information on their effects.

Psychometric properties of the WHOQOL-BREF in a population of older adults in prison: measuring quality of life in a carceral setting

PurposeValid and reliable measurement is critical to the assessment and evaluation of health interventions. However, few scholars have examined the psychometric properties of “gold standard” measures in carceral settings, and no research has explored the reliability, validity and factor structure of the 26-item World Health Organization Quality of Life (WHOQOL) BREF among older adults incarcerated in prison, a large and growing population marked by substantial chronic and life-limiting illness. This study aims to examine the reliability, validity and factor structure of the WHOQOL-BREF.Design/methodology/approachSecondary data from a large-scale study with older adults (age 45+) incarcerated in a Midwestern state were used (N = 499). Floor and ceiling effects were examined, as was the reliability of the measure (Cronbach's alpha). The structural validity of a four-factor and second-order four-factor model of the WHOQOL-BREF was examined using confirmatory factor analysis. Model data fit was examined using chi-square, standardized root mean square residual, comparative fit indices, Akaike information criterion and the Bayesian Information Criterion. Pearson product-moment correlation coefficients were also used to assess validity.FindingsResults indicate adequate construct validity and reliability for the WHOQOL-BREF using the current sample. Model-data fit indexes also reveal adequate structure of the measure relative to other older adult samples. Non-random data and item exclusion are noteworthy limits, and future researchers are encouraged to co-conceptualize and operationalize life quality with older adults who are incarcerated.Originality/valueTo the best of the authors’ knowledge, this is the first study to explore the psychometric properties of the WHOQOL-BREF among older adults incarcerated in prison.

Outcome assessment of a complex mental health intervention in the workplace. Results from the MENTUPP pilot study

ObjectiveMulticomponent interventions are recommendable to achieve the greatest mental health benefits, but are difficult to evaluate due to their complexity. Defining long-term outcomes, arising from a Theory of Change (ToC) and testing them in a pilot phase, is a useful approach to plan a comprehensive and meaningful evaluation later on. This article reports on the pilot results of an outcome evaluation of a complex mental health intervention and examines whether appropriate evaluation measures and indicators have been selected ahead of a clustered randomised control trial (cRCT).MethodsThe MENTUPP pilot is an evidence-based intervention for Small and Medium Enterprises (SMEs) active in three work sectors and nine countries. Based on our ToC, we selected the MENTUPP long-term outcomes, which are reported in this article, are measured with seven validated scales assessing mental wellbeing, burnout, depression, anxiety, stigma towards depression and anxiety, absenteeism and presenteeism. The pilot MENTUPP intervention assessment took place at baseline and at 6 months follow-up.ResultsIn total, 25 SMEs were recruited in the MENTUPP pilot and 346 participants completed the validated scales at baseline and 96 at follow-up. Three long-term outcomes significantly improved at follow-up (p < 0.05): mental wellbeing, symptoms of anxiety, and personal stigmatising attitudes towards depression and anxiety.ConclusionsThe results of this outcome evaluation suggest that MENTUPP has the potential to strengthen employees’ wellbeing and decrease anxiety symptoms and stigmatising attitudes. Additionally, this study demonstrates the utility of conducting pilot workplace interventions to assess whether appropriate measures and indicators have been selected. Based on the results, the intervention and the evaluation strategy have been optimised.

Economic Evaluations of Digital Health Interventions for the Management of Musculoskeletal Disorders: Systematic Review and Meta-Analysis.

Musculoskeletal disorders (MSDs) are widespread in many countries and their huge burden on the society has necessitated innovative approaches such as digital health interventions. However, no study has evaluated the findings of cost-effectiveness of these interventions. This study aims to synthesize the cost-effectiveness of digital health interventions for people with MSDs. Electronic databases including MEDLINE, AMED, CIHAHL, PsycINFO, Scopus, Web of Science, and Centre for Review and Dissemination were searched for cost-effectiveness of digital health published between inception and June 2022 following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. References of all retrieved articles were checked for relevant studies. Quality appraisal of the included studies was performed using the Quality of Health Economic Studies (QHES) instrument. Results were presented using a narrative synthesis and random effects meta-analysis. A total of 10 studies from 6 countries met the inclusion criteria. Using the QHES instrument, we found that the mean score of the overall quality of the included studies was 82.5. Included studies were on nonspecific chronic low back pain (n=4), chronic pain (n=2), knee and hip osteoarthritis (n=3), and fibromyalgia (n=1). The economic perspectives adopted in the included studies were societal (n=4), societal and health care (n=3), and health care (n=3). Of the 10 included studies, 5 (50%) used quality-adjusted life-years as the outcome measures. Except 1 study, all the included studies reported that digital health interventions were cost-effective compared with the control group. In a random effects meta-analysis (n=2), the pooled disability and quality-adjusted life-years were -0.176 (95% CI -0.317 to -0.035; P=.01) and 3.855 (95% CI 2.023 to 5.687; P<.001), respectively. The meta-analysis (n=2) for the costs was in favor of the digital health intervention compared with control: US $417.52 (95% CI -522.01 to -313.03). Studies indicate that digital health interventions are cost-effective for people with MSDs. Our findings suggest that digital health intervention could help improve access to treatment for patients with MSDs and as a result improve their health outcomes. Clinicians and policy makers should consider the use of these interventions for patients with MSDs. PROSPERO CRD42021253221; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=253221.

An emerging framework for digital mental health design with Indigenous young people: a scoping review of the involvement of Indigenous young people in the design and evaluation of digital mental health interventions

BackgroundIndigenous young people worldwide possess unique protective factors that support wellbeing. However, they experience mental illness at higher rates than their non-indigenous counterparts. Digital mental health (dMH) resources can increase access to structured, timely, and culturally tailored mental health interventions by reducing structural and attitudinal barriers to accessing treatment. The involvement of Indigenous young people in dMH resource development is recommended, however, no guidelines exist on how this can best be facilitated.MethodsA scoping review examining processes to involve Indigenous young people in developing or evaluating dMH interventions was conducted. Studies reported between 1990 and 2023 involving Indigenous young people aged 12–24 years, originating from Canada, the USA, New Zealand, and Australia, in the development or evaluation of dMH interventions were eligible for inclusion. Following a three-step search process, four electronic databases were searched. Data were extracted, synthesized, and described under three categories: dMH intervention attributes, study design, and alignment with research best practice. Best practice recommendations for Indigenous research and participatory design principles derived from the literature were identified and synthesised. Included studies were assessed against these recommendations. Consultation with two Senior Indigenous Research Officers ensured Indigenous worldviews informed analysis.ResultsTwenty-four studies describing eleven dMH interventions met inclusion criteria. Studies included formative, design, pilot, and efficacy studies. Overall, most included studies demonstrated a high degree of Indigenous governance, capacity building, and community benefit. All studies adapted their research processes to ensure that local community protocols were followed and most aligned these within an Indigenous research paradigm. Formal agreements regarding existing and created intellectual property and implementation evaluations were rare. Outcomes were the primary focus of reporting, with limited detailed descriptions of governance and decision-making processes or strategies for managing predictable tensions between co-design stakeholders.ConclusionsThis study identified recommendations for undertaking participatory design with Indigenous young people and evaluated the current literature against these criteria. Common gaps were evident in the reporting of study processes. Consistent, in-depth reporting is needed to allow assessment of approaches for this hard-to-reach population. An emergent framework, informed by our findings, for guiding the involvement of Indigenous young people in the design and evaluation of dMH tools is presented.Trial registrationAvailable via osf.io/2nkc6

Adolescent peer support for mental health problems: evaluation of the validity and reliability of the Mental Health Support Scale for Adolescents

BackgroundThe Mental Health Support Scale for Adolescents (MHSSA) is a criterion-referenced measure of adolescents’ supportive intentions towards peers with mental health problems, which was developed for use in evaluations of adolescent mental health interventions, such as the teen Mental Health First Aid (tMHFA) program. The present study aimed to examine the validity and reliability of the MHSSA.MethodsA sample of 3092 school students (Mean ± SD: 15.9 ± 0.4 years old) and 65 tMHFA Instructors (the adult group with known expertise in tMHFA) completed the 12 items of the MHSSA. A sub-sample of 1201 students repeated the scale after a 3-4-week interval. Item concordance rates with the tMHFA Action Plan across helpful and harmful intentions scales were calculated. Scale reliabilities were assessed using agreement coefficients from a single test administration and test-retest reliability measured by intraclass correlation coefficients. The mean differences of MHSSA scores of students and Instructors were compared using independent samples t-tests, while convergent validity was tested via correlations of the scale with validated measures of confidence in providing help, social distance and personal stigma.ResultsThe average score of Instructors was significantly higher than that of students. The scale was positively associated with confidence in providing help, whilst negatively associated with social distance and dimensions of personal stigma. All scales of MHSSA had high agreement coefficients (all > 0.80) and fair to good test-retest reliability over 3–4 weeks.ConclusionsThe MHSSA shows evidence of validity and reliability for use among adolescents for evaluating the quality of intentions to help peers with mental health problems.

Developing a framework for evaluation: a Theory of Change for complex workplace mental health interventions

BackgroundThere is a gap between the necessity of effective mental health interventions in the workplace and the availability of evidence-based information on how to evaluate them. The available evidence outlines that mental health interventions should follow integrated approaches combining multiple components related to different levels of change. However, there is a lack of robust studies on how to evaluate multicomponent workplace interventions which target a variety of outcomes at different levels taking into account the influence of different implementation contexts.MethodWe use the MENTUPP project as a research context to develop a theory-driven approach to facilitate the evaluation of complex mental health interventions in occupational settings and to provide a comprehensive rationale of how these types of interventions are expected to achieve change. We used a participatory approach to develop a ToC involving a large number of the project team representing multiple academic backgrounds exploiting in tandem the knowledge from six systematic reviews and results from a survey among practitioners and academic experts in the field of mental health in SMEs.ResultsThe ToC revealed four long-term outcomes that we assume MENTUPP can achieve in the workplace: 1) improved mental wellbeing and reduced burnout, 2) reduced mental illness, 3) reduced mental illness-related stigma, and 4) reduced productivity losses. They are assumed to be reached through six proximate and four intermediate outcomes according to a specific chronological order. The intervention consists of 23 components that were chosen based on specific rationales to achieve change on four levels (employee, team, leader, and organization).ConclusionsThe ToC map provides a theory of how MENTUPP is expected to achieve its anticipated long-term outcomes through intermediate and proximate outcomes assessing alongside contextual factors which will facilitate the testing of hypotheses. Moreover, it allows for a structured approach to informing the future selection of outcomes and related evaluation measures in either subsequent iterations of complex interventions or other similarly structured programs. Hence, the resulting ToC can be employed by future research as an example for the development of a theoretical framework to evaluate complex mental health interventions in the workplace.

Quality of Life and Kidney Function in Older Adults: Prospective Data of the SCOPE Study.

A longitudinal alteration in health-related quality of life (HRQoL) over a two-year period and its association with early-stage chronic kidney disease (CKD) progression was investigated among 1748 older adults (>75 years). HRQoL was measured by the Euro-Quality of Life Visual Analog Scale (EQ-VAS) at baseline and at one and two years after recruitment. A full comprehensive geriatric assessment was performed, including sociodemographic and clinical characteristics, the Geriatric Depression Scale-Short Form (GDS-SF), Short Physical Performance Battery (SPPB), and estimated glomerular filtration rate (eGFR). The association between EQ-VAS decline and covariates was investigated by multivariable analyses. A total of 41% of the participants showed EQ-VAS decline, and 16.3% showed kidney function decline over the two-year follow-up period. Participants with EQ-VAS decline showed an increase in GDS-SF scores and a greater decline in SPPB scores. The logistic regression analyses showed no contribution of a decrease in kidney function on EQ-VAS decline in the early stages of CKD. However, older adults with a greater GDS-SF score were more likely to present EQ-VAS decline over time, whereas an increase in the SPPB scores was associated with less EQ-VAS decline. This finding should be considered in clinical practice and when HRQoL is used to evaluate health interventions among older adults.

Validation of the Health Consciousness Scale among the Czech Population.

The COVID-19 pandemic has demonstrated the importance of maintaining good health. It became has become apparent that health consciousness is a crucial factor in promoting healthy lifestyles, disease prevention, and the overall well-being of individuals. A higher level of health consciousness is associated with healthy habits, better adherence to medical recommendations, and a higher quality of life. Therefore, health consciousness is a critical construct in health care that reflects the degree to which individuals care about their health. This study, which is based on a representative sample of the adult population (n = 1372), aims to validate the Health Consciousness Scale (HCS) to assess its reliability and validity, and evaluate the factor structure of the translated version of the scale in the Czech language. The validation of the HCS in the Czech context is a significant step forward and provides useful information for healthcare professionals, policymakers, and researchers. The findings of this study contribute to the understanding of health consciousness in the Czech population and provide unique information for the development and evaluation of health interventions aimed at promoting healthy behaviors and attitudes.

Credible messenger mentoring to promote the health of youth involved in the juvenile legal system: A narrative review

This narrative review examines the literature on credible messenger mentoring (CMM) as an intervention to promote the health and well-being of youth involved in the juvenile legal system. In the CMM model, individuals with shared life experiences (e.g., from the same neighborhoods or marginalized communities, with former gang or incarceration history) serve as mentors, leveraging their own history of transformation to engage youth involved in the juvenile legal system and promote individual and community change. CMM is an increasingly popular approach for working with youth involved in the juvenile legal system, yet the state of the research on this intervention is unclear. This article provides a narrative review of existing research on CMM to understand what is known, and unknown, about the intervention. Results find an emerging, but incomplete body of evidence supporting the impact of CMM for youth involved in the juvenile legal system, and for adult mentors. Qualitative and observational findings provide stronger support for the model, while quantitative findings provide more mixed evidence, indicating that CMM may be a promising life course health intervention, yet needs more empirical study. Findings from this review underscore the value of integrating community-informed evidence in the evaluation of health interventions. Future research can inform contemporary interest in the CMM approach and guide implementation and measurement standards for optimizing intervention delivery with youth involved in the juvenile legal system.

EE481 A Systematic Literature Review of Modeling Approaches in Economic Evaluations of Health Interventions for Attention Deficit Hyperactivity Disorder

A systematic literature review was performed to examine economic modeling approaches utilized in published economic evaluations (EEs) of health interventions for attention deficit hyperactivity disorder (ADHD).

EE25 A Systematic Literature Review to Assess the Modeling Approaches in Economic Evaluations of Health Interventions for Adult Binge Eating Disorders

The purpose of this research was to identify and summarize different modeling approaches used in published economic evaluations (EEs) of adult patients with binge eating disorders (BED).

Interprofessional Needs Analysis and User-Centred Prototype Evaluation as a Foundation for Building Individualized Digital Education in Dementia Healthcare Supported by Artificial Intelligence: A Study Protocol.

Continuous profession-specific training is necessary to provide high-quality care for people with dementia. Research shows the need for more educational programmes that are personalized and responsive to the learning needs and preferences of staff. Digital solutions supported by artificial intelligence (AI) may be a means of making these improvements. There is a lack of formats that support learners in selecting the right content according to their learning needs and preferences. The project "My INdividual Digital EDucation.RUHR" (MINDED.RUHR) addresses this problem and seeks to develop an automatized delivery system for individual learning content using AI. The sub-project presented here aims to achieve the following: (a) explore learning needs and preferences regarding behavioural changes in people with dementia, (b) develop learning nuggets, (c) evaluate the feasibility of the digital learning platform, and (d) identify optimization criteria. Following the first phase of the framework for the design and evaluation of digital health interventions (DEDHI), we use a qualitative approach with focus group interviews for exploration and development, and co-design workshops and expert audits to evaluate the developed learning nuggets. The developed e-learning tool is the first step in supporting the digital training of healthcare professionals in the context of caring for people with dementia, individualized through AI.

Economic evaluations of maternal health interventions: a scoping review

Background Evidence on the affordability and cost-effectiveness of interventions is critical to decision-making for clinical practice guidelines and development of national health policies. This study aimed to develop a repository of primary economic evaluations to support global maternal health guideline development and provide insights into the body of research conducted in this field. Methods A scoping review was conducted to identify and map available economic evaluations of maternal health interventions. We searched six databases (NHS Economic Evaluation Database, EconLit, PubMed, Embase, CINAHL and PsycInfo) on 20 November 2020 with no date, setting or language restrictions. Two authors assessed eligibility and extracted data independently. Included studies were categorised by subpopulation of women, level of care, intervention type, mechanism, and period, economic evaluation type and perspective, and whether the intervention is currently recommended by the World Health Organization. Frequency analysis was used to determine prevalence of parameters. Results In total 923 studies conducted in 72 countries were included. Most studies were conducted in high-income country settings (71.8%). Over half pertained to a general population of pregnant women, with the remainder focused on specific subgroups, such as women with preterm birth (6.2%) or those undergoing caesarean section (5.5%). The most common interventions of interest related to non-obstetric infections (23.9%), labour and childbirth care (17.0%), and obstetric complications (15.7%). Few studies addressed the major causes of maternal deaths globally. Over a third (36.5%) of studies were cost-utility analyses, 1.4% were cost-benefit analyses and the remainder were cost-effectiveness analyses. Conclusions This review provides a navigable, consolidated resource of economic evaluations in maternal health. We identified a clear evidence gap regarding economic evaluations of maternal health interventions in low- and middle-income countries. Future economic research should focus on interventions to address major drivers of maternal morbidity and mortality in these settings.