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TitleTelehealth in Primary Health Care: A Scoping Review of the Literature.
AuthorsBeheshti, L; Kalankesh, LR; Doshmangir, L; Farahbakhsh, M
JournalPerspectives in health information management /.
Publication Date1 Dec 2022
Date Added to PubMed21 Apr 2022
AbstractThe use of telehealth as a viable mobility to deliver quality services steadily increases in various levels of the health system. Despite the increasing use of telemedicine in secondary and tertiary health care services, there is a long way to go in the use of this technology in public health and primary health care (PHC). This study aimed to explore the features, approaches, and various dimensions of telehealth in PHC. A scoping review was conducted using the Arksey and O'Malley framework. A search was conducted in three bibliographic databases including PubMed, Web of Sciences, and Scopus and in Google Scholar to collect papers published in November 2018 to 2000. Data were extracted according to a predefined form and check for completeness and accuracy by a second reviewer. Through reviewing papers, the authors extracted information on the general characteristics and features of telehealth services, kinds of PHC services delivered via telehealth, hardware and software facilities used for providing health care through telehealth services packages, as well as their benefits, outcomes and obstacles. Telehealth can be used for different purposes of PHC through deploying a full range of communication channels available to the public. Due to the opportunistic use of existing devices and platforms, telehealth can provide scalable PHC services nationwide and worldwide. However, implementing telehealth in PHC faces challenges from technical, organizational, and human perspectives. Digital equity (in terms of technology access and e-health literacy) is required to expand telehealth services to the populations in underserved areas.
Link
TitleArtificial Intelligence in Dermatology: A Primer.
AuthorsYoung, AT; Xiong, M; Pfau, J; Keiser, MJ; Wei, ML
JournalThe Journal of investigative dermatology
Publication Date1 Aug 2020
Date Added to PubMed2 Apr 2020
AbstractArtificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. However, real-world clinical validation is currently lacking. We review dermatological applications of deep learning, the leading artificial intelligence technology for image analysis, and discuss its current capabilities, potential failure modes, and challenges surrounding performance assessment and interpretability. We address the following three primary applications: (i) teledermatology, including triage for referral to dermatologists; (ii) augmenting clinical assessment during face-to-face visits; and (iii) dermatopathology. We discuss equity and ethical issues related to future clinical adoption and recommend specific standardization of metrics for reporting model performance.
Linkhttp://doi.org/10.1016/j.jid.2020.02.026
TitleDigital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities: A Systematic Review and Meta-Analysis.
AuthorsKatz, ME; Mszar, R; Grimshaw, AA; Gunderson, CG; Onuma, OK; Lu, Y; Spatz, ES
JournalJAMA network open
Publication Date5 Feb 2024
Date Added to PubMed14 Feb 2024
AbstractHypertension remains a leading factor associated with cardiovascular disease, and demographic and socioeconomic disparities in blood pressure (BP) control persist. While advances in digital health technologies have increased individuals' access to care for hypertension, few studies have analyzed the use of digital health interventions in vulnerable populations. To assess the association between digital health interventions and changes in BP and to characterize tailored strategies for populations experiencing health disparities. In this systematic review and meta-analysis, a systematic search identified studies evaluating digital health interventions for BP management in the Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science databases from inception until October 30, 2023. Included studies were randomized clinical trials or cohort studies that investigated digital health interventions for managing hypertension in adults; presented change in systolic BP (SBP) or baseline and follow-up SBP levels; and emphasized social determinants of health and/or health disparities, including a focus on marginalized populations that have historically been underserved or digital health interventions that were culturally or linguistically tailored to a population with health disparities. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Two reviewers extracted and verified data. Mean differences in BP between treatment and control groups were analyzed using a random-effects model. Primary outcomes included mean differences (95% CIs) in SBP and diastolic BP (DBP) from baseline to 6 and 12 months of follow-up between digital health intervention and control groups. Shorter- and longer-term follow-up durations were also assessed, and sensitivity analyses accounted for baseline BP levels. A total of 28 studies (representing 8257 participants) were included (overall mean participant age, 57.4 years [range, 46-71 years]; 4962 [60.1%], female). Most studies examined multicomponent digital health interventions incorporating remote BP monitoring (18 [64.3%]), community health workers or skilled nurses (13 [46.4%]), and/or cultural tailoring (21 [75.0%]). Sociodemographic characteristics were similar between intervention and control groups. Between the intervention and control groups, there were statistically significant mean differences in SBP at 6 months (-4.24 mm Hg; 95% CI, -7.33 to -1.14 mm Hg; P = .01) and SBP changes at 12 months (-4.30 mm Hg; 95% CI, -8.38 to -0.23 mm Hg; P = .04). Few studies (4 [14.3%]) reported BP changes and hypertension control beyond 1 year. In this systematic review and meta-analysis of digital health interventions for hypertension management in populations experiencing health disparities, BP reductions were greater in the intervention groups compared with the standard care groups. The findings suggest that tailored initiatives that leverage digital health may have the potential to advance equity in hypertension outcomes.
Linkhttp://doi.org/10.1001/jamanetworkopen.2023.56070
TitleDigital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review.
AuthorsWongvibulsin, S; Habeos, EE; Huynh, PP; Xun, H; Shan, R; Porosnicu Rodriguez, KA; Wang, J; Gandapur, YK; Osuji, N; Shah, LM; Spaulding, EM; Hung, G; Knowles, K; Yang, WE; Marvel, FA; Levin, E; Maron, DJ; Gordon, NF; Martin, SS
JournalJournal of medical Internet research
Publication Date8 Feb 2021
Date Added to PubMed9 Feb 2021
AbstractCardiovascular disease (CVD) is the leading cause of death worldwide. Despite strong evidence supporting the benefits of cardiac rehabilitation (CR), over 80% of eligible patients do not participate in CR. Digital health technologies (ie, the delivery of care using the internet, wearable devices, and mobile apps) have the potential to address the challenges associated with traditional facility-based CR programs, but little is known about the comprehensiveness of these interventions to serve as digital approaches to CR. Overall, there is a lack of a systematic evaluation of the current literature on digital interventions for CR. The objective of this systematic literature review is to provide an in-depth analysis of the potential of digital health technologies to address the challenges associated with traditional CR. Through this review, we aim to summarize the current literature on digital interventions for CR, identify the key components of CR that have been successfully addressed through digital interventions, and describe the gaps in research that need to be addressed for sustainable and scalable digital CR interventions. Our strategy for identifying the primary literature pertaining to CR with digital solutions (defined as technology employed to deliver remote care beyond the use of the telephone) included a consultation with an expert in the field of digital CR and searches of the PubMed (MEDLINE), Embase, CINAHL, and Cochrane databases for original studies published from January 1990 to October 2018. Our search returned 31 eligible studies, of which 22 were randomized controlled trials. The reviewed CR interventions primarily targeted physical activity counseling (31/31, 100%), baseline assessment (30/31, 97%), and exercise training (27/31, 87%). The most commonly used modalities were smartphones or mobile devices (20/31, 65%), web-based portals (18/31, 58%), and email-SMS (11/31, 35%). Approximately one-third of the studies addressed the CR core components of nutrition counseling, psychological management, and weight management. In contrast, less than a third of the studies addressed other CR core components, including the management of lipids, diabetes, smoking cessation, and blood pressure. Digital technologies have the potential to increase access and participation in CR by mitigating the challenges associated with traditional, facility-based CR. However, previously evaluated interventions primarily focused on physical activity counseling and exercise training. Thus, further research is required with more comprehensive CR interventions and long-term follow-up to understand the clinical impact of digital interventions.
Linkhttp://doi.org/10.2196/18773
TitleViral mHealth​.
AuthorsFölster, S
JournalGlobal health action
Publication Date1 Jun 2017
Date Added to PubMed26 Aug 2017
AbstractThousands of mHealth applications are developed every year, but few of these spread or 'go viral'. Even clinical applications that provide health benefits and social value often linger after an initial pilot phase. An examination of common hindrances in low-income countries suggests that more subsidies and education of health care personnel are insufficient solutions. Instead we propose better a priori screening of mHealth applications based on four criteria that may largely determine whether an mHealth application will spread. Further, we illustrate how using these criteria forms a good basis for involving 'impact investors' in the development of mHealth applications. This can reduce risks for public health care providers and increase the likelihood of success.
Linkhttp://doi.org/10.1080/16549716.2017.1336006
TitleDigital health equity for older populations.
Authors
JournalThe Lancet. Digital health
Publication Date1 Jul 2023
Date Added to PubMed1 Jul 2023
Abstract
Linkhttp://doi.org/10.1016/S2589-7500(23)00114-0
TitleRapid Transition to Telehealth and the Digital Divide: Implications for Primary Care Access and Equity in a Post-COVID Era.
AuthorsChang, JE; Lai, AY; Gupta, A; Nguyen, AM; Berry, CA; Shelley, DR
JournalThe Milbank quarterly
Publication Date1 Jun 2021
Date Added to PubMed3 Jun 2021
AbstractPolicy Points Telehealth has many potential advantages during an infectious disease outbreak such as the COVID-19 pandemic, and the COVID-19 pandemic has accelerated the shift to telehealth as a prominent care delivery mode. Not all health care providers and patients are equally ready to take part in the telehealth revolution, which raises concerns for health equity during and after the COVID-19 pandemic. Without proactive efforts to address both patient- and provider-related digital barriers associated with socioeconomic status, the wide-scale implementation of telehealth amid COVID-19 may reinforce disparities in health access in already marginalized and underserved communities. To ensure greater telehealth equity, policy changes should address barriers faced overwhelmingly by marginalized patient populations and those who serve them. The COVID-19 pandemic has catalyzed fundamental shifts across the US health care delivery system, including a rapid transition to telehealth. Telehealth has many potential advantages, including maintaining critical access to care while keeping both patients and providers safe from unnecessary exposure to the coronavirus. However, not all health care providers and patients are equally ready to take part in this digital revolution, which raises concerns for health equity during and after the COVID-19 pandemic. The study analyzed data about small primary care practices' telehealth use and barriers to telehealth use collected from rapid-response surveys administered by the New York City Department of Health and Mental Hygiene's Bureau of Equitable Health Systems and New York University from mid-April through mid-June 2020 as part of the city's efforts to understand how primary care practices were responding to the COVID-19 pandemic following New York State's stay-at-home order on March 22. We focused on small primary care practices because they represent 40% of primary care providers and are disproportionately located in low-income, minority or immigrant areas that were more severely impacted by COVID-19. To examine whether telehealth use and barriers differed based on the socioeconomic characteristics of the communities served by these practices, we used the Centers for Disease Control and Prevention Social Vulnerability Index (SVI) to stratify respondents as being in high-SVI or low-SVI areas. We then characterized respondents' telehealth use and barriers to adoption by using means and proportions with 95% confidence intervals. In addition to a primary analysis using pooled data across the five waves of the survey, we performed sensitivity analyses using data from respondents who only took one survey, first wave only, and the last two waves only. While all providers rapidly shifted to telehealth, there were differences based on community characteristics in both the primary mode of telehealth used and the types of barriers experienced by providers. Providers in high-SVI areas were almost twice as likely as providers in low-SVI areas to use telephones as their primary telehealth modality (41.7% vs 23.8%; P <.001). The opposite was true for video, which was used as the primary telehealth modality by 18.7% of providers in high-SVI areas and 33.7% of providers in low-SVI areas (P <0.001). Providers in high-SVI areas also faced more patient-related barriers and fewer provider-related barriers than those in low-SVI areas. Between April and June 2020, telehealth became a prominent mode of primary care delivery in New York City. However, the transition to telehealth did not unfold in the same manner across communities. To ensure greater telehealth equity, policy changes should address barriers faced overwhelmingly by marginalized patient populations and those who serve them.
Linkhttp://doi.org/10.1111/1468-0009.12509
TitleDigital health, gender and health equity: invisible imperatives.
AuthorsSinha, C; Schryer-Roy, AM
JournalJournal of public health (Oxford, England)
Publication Date1 Dec 2018
Date Added to PubMed18 Oct 2018
AbstractA growing body of evidence shows the use of digital technologies in health-referred to as eHealth, mHealth or 'digital health'-is improving and saving lives in low- and middle-income countries. Despite this prevalent and persistent narrative, very few studies examine its effects on health equity, gender and power dynamics. This journal supplement addresses these invisible imperatives by going beyond traditional measures of coverage, efficacy and cost-effectiveness associated with digital health interventions, to unpack different experiences of health workers and beneficiaries. The collection of papers presents findings from a cohort of implementation research projects in Africa, Asia, Latin America and the Middle East, and two commentaries offer observations from learning-oriented evaluative activities across the entire cohort. The story emerging from this cohort is comprised of three themes: (i) digital health can positively influence health equity; (ii) gender and power analyses are essential; and (iii) digital health can be used to strengthen upward and downward accountability. These findings, at the individual project level and at the level of the cohort, provide encouraging recommendations on how to approach the design, implementation and evaluation of digital health interventions to address the Sustainable Development Goals agenda of leaving no one behind. SinhaChaitaliCInternational Development Research Centre (IDRC), Ottawa, Canada.Schryer-RoyAnne-MarieAMNairobi, Kenya.engIntroductory Journal ArticleEnglandJ Public Health (Oxf)1011886381741-3842IMDeveloping CountriesFemaleHealth EquityHumansMaleSex FactorsSexismTelemedicineUna cantidad creciente de evidencia muestra que el uso de las tecnologías digitales en la salud, ya sea eSalud (eHealth), mSalud (mHealth) o "salud digital", está mejorando y salvando vidas en países de ingresos bajos y medios. A pesar de esta descripción frecuente y persistente, muy pocos estudios analizan sus efectos en la igualdad en materia de salud y las dinámicas de género y de poder. Este suplemento informativo aborda estos imperativos invisibles al ir más allá de las medidas de cobertura tradicionales, la eficiencia y la eficacia en función de los costos asociadas con las intervenciones de salud digital, para desentrañar las diferentes experiencias de los beneficiarios y trabajadores de la salud. Este conjunto de trabajos presenta resultados de una cohorte de aplicación de proyectos de investigación en África, Asia, América Latina y el Medio Oriente; y dos comentarios ofrecen observaciones de actividades de evaluación orientadas en el aprendizaje en toda la cohorte. La historia que surge de esta cohorte comprende tres temas: (i) la salud digital puede influenciar positivamente la igualdad en materia de salud; (ii) los análisis de género y de poder son esenciales; y (iii) la salud digital puede usarse para fortalecer la rendición de cuentas ascendente y descendente. Estos resultados, a nivel de proyecto individual y al nivel de la cohorte, brindan recomendaciones alentadoras acerca de cómo abordar el diseño, la aplicación y la evaluación de las intervenciones de salud digital para examinar la agenda de los Objetivos de Desarrollo Sostenible de no dejar a nadie atrás. Palabras clave: m-Salud, mSalud, eSalud, salud digital, género, igualdad en materia de salud, mujeres, ODS, rendición de cuentas, sistemas de salud De plus en plus d’études révèlent que le recours aux technologies numériques en santé – désignées par les termes cybersanté, santé mobile ou santé numérique – permet de sauver des vies dans les pays à revenu faible ou moyen et d’en améliorer la qualité. Malgré la prévalence et la constance des données, très peu d’études traitent de ses répercussions sur l’équité en santé, la sexospécificité et la dynamique de pouvoir. Le présent supplément se penche sur ces impératifs invisibles et va au-delà des mesures traditionnelles de couverture, d’efficacité et de rentabilité associées aux interventions numériques en santé, afin de lever le voile sur les différentes expériences que vivent les travailleurs de la santé et les bénéficiaires de soins de santé. Ce recueil de textes présente les résultats d’une cohorte de projets de recherche sur la mise en oeuvre menés en Afrique, en Asie, en Amérique latine et au Moyen-Orient, et deux commentaires font part d’observations tirées d’activités d’évaluation axées sur l’apprentissage réalisées dans toute la cohorte. L’analyse des résultats de la cohorte aboutit à trois constats : (i) la santé numérique peut exercer une influence positive sur l’équité en santé; (ii) l’analyse comparative entre les sexospécificités et l’analyse de la dynamique de pouvoir sont essentielles; (iii) la santé numérique peut être utilisée pour renforcer la responsabilisation vers le haut et vers le bas. Ces constats, qu’ils soient liés à chacun des projets ou à l’ensemble de la cohorte, donnent lieu à des recommandations encourageantes quant à la manière d’aborder la conception, la mise en oeuvre et l’évaluation d’interventions numériques en santé, de sorte à réaliser le programme et les objectifs de développement durable consistant à ne laisser personne de côté. Mots clés: santé mobile, cybersanté, santé numérique, sexospécificité, équité en santé, femmes, ODD, responsabilisation, systèmes de santé
Linkhttp://doi.org/10.1093/pubmed/fdy171
TitleDigital Health Equity: Addressing Power, Usability, and Trust to Strengthen Health Systems.
AuthorsKoehle, H; Kronk, C; Lee, YJ
JournalYearbook of medical informatics
Publication Date1 Aug 2022
Date Added to PubMed5 Dec 2022
AbstractWithout specific attention to health equity considerations in design, implementation, and evaluation, the rapid expansion of digital health approaches threatens to exacerbate rather than ameliorate existing health disparities. We explored known factors that increase digital health inequity to contextualize the need for equity-centered informatics. This work used a narrative review method to summarize issues about inequities in digital health and to discuss future directions for researchers and clinicians. We searched literature using a combination of relevant keywords (e.g., "digital health", "health equity", etc.) using PubMed and Google Scholar. We have highlighted strategies for addressing medical marginalization in informatics according to vectors of power such as race and ethnicity, gender identity and modality, sexuality, disability, housing status, citizenship status, and criminalization status. We have emphasized collaboration with user and patient groups to define priorities, ensure accessibility and localization, and consider risks in development and utilization of digital health tools. Additionally, we encourage consideration of potential pitfalls in adopting these diversity, equity, and inclusion (DEI)-related strategies.
Linkhttp://doi.org/10.1055/s-0042-1742512
TitleAdvancing digital health equity: Directions for behavioral and social science research.
AuthorsJaworski, BK; Webb Hooper, M; Aklin, WM; Jean-Francois, B; Elwood, WN; Belis, D; Riley, WT; Hunter, CM
JournalTranslational behavioral medicine
Publication Date3 Apr 2023
Date Added to PubMed2 Nov 2022
AbstractThe field of digital health is evolving rapidly and encompasses a wide range of complex and changing technologies used to support individual and population health. The COVID-19 pandemic has augmented digital health expansion and significantly changed how digital health technologies are used. To ensure that these technologies do not create or exacerbate existing health disparities, a multi-pronged and comprehensive research approach is needed. In this commentary, we outline five recommendations for behavioral and social science researchers that are critical to promoting digital health equity. These recommendations include: (i) centering equity in research teams and theoretical approaches, (ii) focusing on issues of digital health literacy and engagement, (iii) using methods that elevate perspectives and needs of underserved populations, (iv) ensuring ethical approaches for collecting and using digital health data, and (v) developing strategies for integrating digital health tools within and across systems and settings. Taken together, these recommendations can help advance the science of digital health equity and justice. Published by Oxford University Press on behalf of the Society of Behavioral Medicine 2022.JaworskiBeth KBK0000-0001-9628-990XOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD, USA.Webb HooperMonicaMNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.AklinWill MWMNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.Jean-FrancoisBedaBNational Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA.ElwoodWilliam NWNOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD, USA.BelisDeshiréeDOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD, USA.RileyWilliam TWTOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD, USA.HunterChristine MCMOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD, USA.engJournal ArticleEnglandTransl Behav Med1015546681613-9860IMHumansHealth EquityPandemicsCOVID-19Social SciencesThe field of digital health is quickly growing and changing. Digital health technologies have the potential to increase access to health-related information and healthcare and improve wellbeing, but it is important that those technologies don’t widen existing health disparities or create new ones. Behavioral and social science researchers have a key role to play in centering equity in their research teams and theoretical approaches, focusing on key barriers to access, uptake, and usage, studying digital health in ways that elevate the voices and needs of historically underserved groups, being thoughtful about how digital health data are collected and used, and making sure that digital health tools are designed to be used in real-world settings.
Linkhttp://doi.org/10.1093/tbm/ibac088
MNCHFPRHHIV/AIDSMalariaNoncommunicable diseaseCOVID-19Decision-makingEducation & trainingBehavior changeGovernancePrivacy & securityEquityCHWsYouth & adolescentsSystematic reviewsProtocols & research designMedical RecordsLaboratoryPharmacyHuman ResourcesmHealthSMSChatbotsAI