Development of the Key Performance Indicators for Digital Health Interventions: A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Maria Brenner ◽  
Arielle Weir ◽  
Margaret McCann ◽  
Carmel Doyle ◽  
Mary Hughes ◽  
...  

BACKGROUND Development of the Key Performance Indicators for Digital Health Interventions: A Scoping Review OBJECTIVE Digital health interventions (DHIs) offer new methods for delivering healthcare, with the potential to innovate healthcare services. Key performance indicators (KPIs) play a role in evaluation, measurement, and improvement in healthcare quality and service performance. The scoping review question was developed following an initial search to identify literature to assist in the development of KPIs for an ongoing DHI initiative. During the initial search, it became clear that there was limited literature on how to develop specific and measurable KPIs that evaluate DHIs. The aim of this scoping review was to identify current knowledge and evidence surrounding the development of KPIs for DHIs. METHODS A rigorous literature search was conducted across ten key databases: AMED - The Allied and Complementary Medicine Database, CINAHL Complete, Health Source: Nursing/Academic Edition, MEDLINE, APA PsycINFO, EMBASE, EBM Reviews - Cochrane Database of Systematic Reviews, EBM Reviews - Database of Abstracts of Reviews of Effects, EBM Reviews - Health Technology Assessment, and IEEE Xplore. A descriptive summary of the literature was performed, and thematic analysis identified important or reoccurring themes. RESULTS Five references (representing four unique publications) were eligible for the review. Of the four included publications, two were articles on original research studies of a specific DHI, and two were overviews of methods for developing DHIs (not specific to a single DHI). All the included reports discussed the involvement of stakeholders in developing KPIs for DHIs. The step of identifying and defining the KPIs was completed using various methodologies, but all centered on a form of stakeholder involvement. Potential options for stakeholder involvement for KPI identification include the use of an elicitation framework, a factorial survey approach, or a Delphi study. Most of the included articles recognised the lack of literature relating to KPI development for DHIs, compared to the breath of literature available on the development of KPIs in other fields like health or informatics CONCLUSIONS Few articles were identified, highlighting a significant gap in the evidence-based knowledge in this domain. All the included articles discussed the involvement of stakeholders in developing KPIs for DHIs, which was performed using various methodologies. The articles acknowledged a lack of literature related to KPI development for DHIs. To allow comparability between KPI initiatives and facilitate work in the field, further research would be beneficial to develop a common methodology for KPI development for DHIs.

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e053871
Author(s):  
Anam Shahil Feroz ◽  
Komal Valliani ◽  
Hajra Khwaja ◽  
Sehrish Karim

IntroductionCOVID-19 has significantly affected community health workers’ (CHWs) performance as they are expected to perform pandemic-related tasks along with routine essential healthcare services. A plausible way to optimise CHWs’ functioning during this pandemic is to couple the efforts of CHWs with digital tools. So far, no systematic evidence is available on the use of digital health interventions to support CHWs in low-middle-income countries (LMICs) amid the COVID-19 pandemic. The article describes a protocol for a scoping review of primary research studies that aim to map evidence on the use of unique digital health interventions to support CHWs during COVID-19 in LMICs.Methods and analysisOur methodology has been adapted from scoping review guidelines provided by Arksey and O’Malley, Levac et al. and the Joanna Briggs Institute. Our search strategy has been developed for the following four main electronic databases: Excerpta Medica Database, Medical Literature Analysis and Retrieval System Online, Cochrane Central Register of Controlled Trials and Cumulated Index to Nursing and Allied Health Literature. Google Scholar and reference tracking will be used for supplementary searches. Each article will be screened against eligibility criteria by two independent researchers at the title and abstract and full-text level. The review will include studies that targeted digital health interventions at CHWs’ level to provide support in delivering COVID-19-related and other essential healthcare services. A date limit of 31 December 2019 to the present date will be placed on the search and English language articles will be included.Ethics and disseminationFormal ethical approval is not required, as primary data will not be collected in this study. The results from our scoping review will provide valuable insight into the use of digital health interventions to optimise CHWs’ functioning and will reveal current knowledge gaps in research. The results will be disseminated through journal publications and conference presentations.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Navin Kumar ◽  
Kamila Janmohamed ◽  
Kate Nyhan ◽  
Laura Forastiere ◽  
Wei-Hong Zhang ◽  
...  

Abstract Background Global responses to the COVID-19 pandemic have exposed and exacerbated existing socioeconomic and health inequities that disproportionately affect the sexual health and well-being of many populations, including people of color, ethnic minority groups, women, and sexual and gender minority populations. Although there have been several reviews published on COVID-19 and health disparities across various populations, none has focused on sexual health. We plan to conduct a scoping review that seeks to fill several of the gaps in the current knowledge of sexual health in the COVID-19 era. Methods A scoping review focusing on sexual health and COVID-19 will be conducted. We will search (from January 2020 onwards) CINAHL, Africa-Wide Information, Web of Science Core Collection, Embase, Gender Studies Database, Gender Watch, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, PsycINFO, MEDLINE, and Sociological Abstracts. Grey literature will be identified using Disaster Lit, Google Scholar, governmental websites, and clinical trials registries (e.g., ClinicalTrial.gov, World Health Organization, International Clinical Trials Registry Platform, and International Standard Randomized Controlled Trial Number Registry). Study selection will conform to the Joanna Briggs Institute Reviewers’ Manual 2015 Methodology for JBI Scoping Reviews. Only English language, original studies will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods. Discussion Original research is urgently needed to mitigate the risks of COVID-19 on sexual health. The planned scoping review will help to address this gap. Systematic review registrations Systematic Review Registration: Open Science Framework osf/io/PRX8E


2018 ◽  
Author(s):  
Patricia Grace-Farfaglia

BACKGROUND There are several social cognitive theories (SCTs) and models that support platform design in electronic health (eHealth) promotion trials. The rationale for this scoping review was to determine how social design features (informational aid, expressive support, gaming, and tailored content) are used to promote self-efficacy, engagement, knowledge, and behavior change. OBJECTIVE This study aimed to review a broad spectrum of digital health interventions in the literature seeking trials that use SCTs for the design of eHealth applications. METHODS The author conducted a systematic scoping review of 161 Web-based health interventions from published randomized clinical trials using 1 or more tools to address the social cognitive determinants in their website design from January 2006 to April 2016. An iterative approach was used in the selection of studies and data extraction. The studies were analyzed for quality and coded for type of social design features employed. RESULTS Expressive interaction tools were found in 48.6% (54/111) of studies categorized as a strong recommendation by the Joanna Briggs Institute criteria. Overall, less than half of the studies addressed participant social support and motivational needs (43.8%). The vast majority of studies (100%) relied on the use of the Web for delivery of informational aid and tailored content for the individual participant (75.9%). CONCLUSIONS This review fills a research gap by linking social theory to Web strategy to improve the impact and sustainability of eHealth interventions. A Digital Health Intervention Model was developed to provide a framework to enhance future Web-based health intervention design and execution.


2019 ◽  
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  

BACKGROUND Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. OBJECTIVE This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). METHODS A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. RESULTS Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. CONCLUSIONS This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.


2021 ◽  
Author(s):  
Navin Kumar ◽  
Kamila Janmohamed ◽  
Kate Nyhan ◽  
Laura Forastiere ◽  
Wei-Hong Zhang ◽  
...  

Abstract Background: Global responses to the COVID-19 pandemic have exposed and exacerbated existing socioeconomic and health inequities that disproportionately affect the sexual health and well-being of many populations, including people of color, ethnic minority groups, women, and sexual and gender minority populations. Although there have been several reviews published on COVID-19 and health disparities across various populations, none have focused on sexual health. We plan to conduct a scoping review that seeks to fill several of the gaps in the current knowledge of sexual health in the COVID-19 era.Methods: A scoping review focusing on sexual health and COVID-19 will be conducted. We will search (from January 2020 onwards) CINAHL, Africa-Wide Information, Web of Science Core Collection, Embase, Gender Studies Database, Gender Watch, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, PsycINFO, MEDLINE and Sociological Abstracts. Grey literature will be identified using Disaster Lit, Google Scholar, governmental websites and clinical trials registries (e.g. ClinicalTrial.gov, World Health Organization, International Clinical Trials Registry Platform and International Standard Randomized Con-trolled Trial Number registry). Study selection will conform to Joanna Briggs Institute Reviewers’ Manual 2015 Methodology for JBI Scoping Reviews. Only English language, original studies will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g. frequencies) and qualitative (e.g. content and thematic analysis) methods.Discussion: Original research is urgently needed to mitigate the risks ofCOVID-19 on sexual health. The planned scoping review will help to address this gap.


2021 ◽  
Author(s):  
Navin Kumar ◽  
Nathan Walter ◽  
Kate Nyhan ◽  
Kaveh Khoshnood ◽  
Joseph D Tucker ◽  
...  

Abstract Background: The duration and impact of the COVID-19 pandemic depends in a large part on individual and societal actions which is influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. To date, no systematic efforts have been made to evaluate interventions that mitigate COVID-19-related misinformation. We plan to conduct a scoping review that seeks to fill several of the gaps in the current knowledge of interventions that mitigate COVID-19-related misinformation.Methods: A scoping review focusing on interventions that mitigate COVID-19 misinformation will be conducted. We will search (from January 2020 onwards) MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science Core Collection, Africa-Wide Information, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, and Sociological Abstracts. Grey literature will be identified using Disaster Lit, Google Scholar, Open Science Framework, governmental websites and preprint servers (e.g. EuropePMC, PsyArXiv, MedRxiv, JMIR Preprints). Study selection will conform to Joanna Briggs Institute Reviewers’ Manual 2020 Methodology for JBI Scoping Reviews. Only English language, original studies will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g. frequencies) and qualitative (e.g. content and thematic analysis) methods.Discussion: Original research is urgently needed to design interventions to mitigate COVID-19 misinformation. The planned scoping review will help to address this gap.Systematic Review registrations: Systematic Review Registration: Open Science Framework (osf/io/etw9d).


10.2196/33518 ◽  
2021 ◽  
Author(s):  
Van C Willis ◽  
Kelly Jean Thomas Craig ◽  
Yalda Yabbarpour ◽  
Elisabeth L Scheufele ◽  
Yull E Arriaga ◽  
...  

2020 ◽  
Author(s):  
Pinar Tokgöz ◽  
Robert Hrynyschyn ◽  
Jessica Hafner ◽  
Simone Schönfeld ◽  
Christoph Dockweiler

BACKGROUND Depression is a major cause for disability worldwide and digital health interventions are expected to be a more augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need of mapping the technological landscape, as well as its benefits and challenges for users. OBJECTIVE A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. The purpose of this scoping review was to give an overview of the used DHI for depression. The main goal of this review was then to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. PubMed, Psyndex, and Cochrane were searched by two independent researchers between May 2019 and April 2019 to identify relevant publications and were examined due to inclusion and exclusion criteria. For conducting the systematic review, ‘Rayyan’, a free web-tool, was used. RESULTS In total, 51 studies were included in the qualitative synthesis. After categorizing the field of application in prevention, early detection, therapy and relapse prevention, the search showed dominant numbers of studies in the field therapy (N= 42). There was only one prevention study, three studies for early detection and five studies for relapse prevention. Dominant measures of depression severity were the PHQ-9 or the BDI-II scale. The most dominant therapy approaches were cognitive behavior therapy, acceptance and commitment therapy and problem-solving therapy. Most of the studies revealed significant effects of digital health intervention when cognitive behavior therapy applied. cognitive behavior therapy as the most dominant form was often provided by web-based systems. Combined approaches consisting of web-based and smartphone-based approaches are constantly rising. CONCLUSIONS Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most applications can be beneficial to achieving a better care for depression patients, it can be hindering in determining which approaches in the depression care are suitable. Computerized CBT has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.


10.2196/26684 ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. e26684
Author(s):  
Aarushi Gupta ◽  
Joseph A Cafazzo ◽  
Maarten J IJzerman ◽  
Joost F Swart ◽  
Sebastiaan Vastert ◽  
...  

Background The emergence of genetic and genomic sequencing approaches for pediatric patients has raised questions about the genomic health literacy levels, attitudes toward receiving genomic information, and use of this information to inform treatment decisions by pediatric patients and their parents. However, the methods to educate pediatric patients and their parents about genomic concepts through digital health interventions have not been well-established. Objective The primary objective of this scoping review is to investigate the current levels of genomic health literacy and the attitudes toward receiving genomic information among pediatric patients and their parents. The secondary aim is to investigate patient education interventions that aim to measure and increase genomic health literacy among pediatric patients and their parents. The findings from this review will be used to inform future digital health interventions for patient education. Methods A scoping review using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines and protocols was completed using the following databases: MEDLINE, Embase, CINAHL, and Scopus. Our search strategy included genomic information inclusive of all genetic and genomic terms, pediatrics, and patient education. Inclusion criteria included the following: the study included genetic, genomic, or a combination of genetic and genomic information; the study population was pediatric (children and adolescents <18 years) and parents of patients with pediatric illnesses or only parents of patients with pediatric illnesses; the study included an assessment of the knowledge, attitudes, and intervention regarding genomic information; the study was conducted in the last 12 years between 2008 and 2020; and the study was in the English language. Descriptive data regarding study design, methodology, disease population, and key findings were extracted. All the findings were collated, categorized, and reported thematically. Results Of the 4618 studies, 14 studies (n=6, 43% qualitative, n=6, 43% mixed methods, and n=2, 14% quantitative) were included. Key findings were based on the following 6 themes: knowledge of genomic concepts, use of the internet and social media for genomic information, use of genomic information for decision-making, hopes and attitudes toward receiving genomic information, experiences with genetic counseling, and interventions to improve genomic knowledge. Conclusions This review identified that older age is related to the capacity of understanding genomic concepts, increased genomic health literacy levels, and the perceived ability to participate in decision-making related to genomic information. In addition, internet-searching plays a major role in obtaining genomic information and filling gaps in communication with health care providers. However, little is known about the capacity of pediatric patients and their parents to understand genomic information and make informed decisions based on the genomic information obtained. More research is required to inform digital health interventions and to leverage the leading best practices to educate these genomic concepts.


10.2196/15942 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e15942
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  

Background Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. Objective This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). Methods A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. Results Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. Conclusions This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.


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