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Hoogendoorn P, Shokralla M, Willemsen R, Guldemond N, Villalobos-Quesada M. Compatibility of the CEN-ISO/TS 82304-2 Health App Assessment Framework With Catalan and Italian Health Authorities' Needs: Qualitative Interview Study. JMIR Form Res 2025; 9:e67855. [PMID: 40258272 PMCID: PMC12053092 DOI: 10.2196/67855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 12/19/2024] [Accepted: 02/14/2025] [Indexed: 04/23/2025] Open
Abstract
BACKGROUND Health authorities of European Union (EU) member states are increasingly working to integrate quality health apps into their health care systems. Given the current lack of unified EU assessment criteria, the European Commission initiated Technical Specification (TS) CEN-ISO 82304-2:2021-Health and wellness apps-Quality and reliability (hereinafter the "TS") to address the scattered EU landscape of assessment frameworks (AFs) for health apps. The adoption of an AF, such as the TS, falls within member state competence and is considered an uncertainty-reduction process. Evaluations by peers as well as ensuring the compatibility of the TS with the needs of health authorities can reduce uncertainty and mediate harmonization. OBJECTIVE This study aims to examine the compatibility of the TS with the needs of Catalan and Italian health authorities. METHODS Semistructured interviews were conducted with key informants from a regional (Catalonia in Spain) and national (Italy) health authority, and a thematic analysis was carried out. Main themes were established deductively, following the aspects defined by the value proposition canvas: (1) health authorities' needs ("gains," "pains," and "jobs") and (2) the TS "products and services" and their distinct characteristics ("gain creators" and "pain relievers"). Subthemes were generated inductively. The compatibility of the needs with the TS was theoretically determined by the researchers. The results were visualized using the value proposition canvas. Two participant validation steps confirmed that the most relevant aspects of the predefined themes had been captured. RESULTS Despite the diversity of the 2 health authorities, subthemes were common and categorized into 9 gains, 9 pains, and 11 jobs. Key findings include the health authorities' perceived value of, and need for, integrating quality health apps and using an AF (gains), along with the related policy, implementation, and operational activities (jobs). The lack of enabling EU legislation and standardization, resulting in a need for the multiple authorities involved to consent, made achieving an AF challenging (pains). Nine products and services related to the TS and 17 distinct characteristics (eg, its multistakeholder evidence base) were found to be compatible with 3 gains (eg, stimulating the prescription and use of apps), 7 pains (eg, legislation and harmonization issues), and 6 jobs (eg, assessing apps). Indirect effects, 3 anticipated future services, and 1 anticipated gain creator and pain reliever increase this compatibility. CONCLUSIONS Our results suggest that the health authorities share common fundamental needs, and that the TS is compatible with these needs. The identified needs and compatibility can potentially reduce peer authorities' uncertainties in adopting an AF in general and the TS in particular. More research is recommended to confirm and translate our results in other contexts and further fine-tune compatibility to achieve wide adoption of the TS and accelerate the uptake of health apps.
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Affiliation(s)
- Petra Hoogendoorn
- National eHealth Living Lab, Public Health and Primary Care Department, Leiden University Medical Center, Leiden, The Netherlands
| | - Mariam Shokralla
- National eHealth Living Lab, Public Health and Primary Care Department, Leiden University Medical Center, Leiden, The Netherlands
| | - Romy Willemsen
- National eHealth Living Lab, Public Health and Primary Care Department, Leiden University Medical Center, Leiden, The Netherlands
| | - Nick Guldemond
- National eHealth Living Lab, Public Health and Primary Care Department, Leiden University Medical Center, Leiden, The Netherlands
- Research Center for Medical Sociology, Tsinghua University, Beijing, China
| | - María Villalobos-Quesada
- National eHealth Living Lab, Public Health and Primary Care Department, Leiden University Medical Center, Leiden, The Netherlands
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Lewis BA, Napolitano MA, Buman MP, Williams DM, Nigg CR. Physical activity interventions: an update on advancing sedentary time, technology, and dissemination and implementation research. J Behav Med 2025; 48:99-110. [PMID: 39522074 DOI: 10.1007/s10865-024-00533-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024]
Abstract
Approximately 28% of American adults meet both the physical activity (PA) and strength training guidelines despite the numerous health benefits associated with a physically active lifestyle. The purpose of this paper is to provide an update of the 2017 Society of Behavioral Medicine PA Special Interest Group article that outlined future directions in sedentary time reduction interventions, technology-based PA interventions, and the dissemination and implementation of PA interventions. Since the prior review, there has been significant progress on effective interventions for reducing sedentary time. However, there has been less progress for improving the specificity of sedentary time guidelines. There has been a dramatic increase in the number of studies examining PA mHealth interventions and support for mHealth intervention has generally been positive, though sustaining engagement in mHealth interventions remains a challenge. Promising newer technologies that have been explored more extensively since the prior review including artificial intelligence (AI). Knowledge of how to implement and scale-up effective PA interventions has also increased. Several current trends in PA intervention research that continue to advance the field include examining the moderating effect of the built environment on the effectiveness of behavioral interventions, cultural tailoring of interventions, Just in Time Adaptive Interventions (JITAIs), and exercise snacks (vigorous intensity PA sessions that are less than one minute). Overall, there has been significant progress in the PA intervention field but significant work remains for creating effective interventions that can be readily implemented into real world settings.
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Affiliation(s)
- Beth A Lewis
- School of Kinesiology, University of Minnesota, 1900 University Avenue SE, Cooke Hall, Minneapolis, MN, 55455, USA.
| | - Melissa A Napolitano
- Milken Institute School of Public Health, The George Washington University, 950 New Hampshire Ave, 3rd Floor, Washington, DC, 20052, USA
| | - Matthew P Buman
- College of Health Solutions, Arizona State University, 500 North 3rd Street, Phoenix, AZ, 85004, USA
| | - David M Williams
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-4, Providence, RI, 02912, USA
| | - Claudio R Nigg
- Department of Health Science, Institute of Sport Science, University of Bern, Bremgartenstrasse 145, Bern, 3012, Switzerland
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Petro-Petro J, Arango-Paternina CM, Patiño-Villada FA, Ramirez-Villada JF, Brownson RC. Implementation processes of social network interventions for physical activity and sedentary behavior among children and adolescents: a scoping review. BMC Public Health 2024; 24:1101. [PMID: 38649855 PMCID: PMC11034017 DOI: 10.1186/s12889-024-18615-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The characteristics of the implementation process of interventions are essential for bridging the gap between research and practice. This scoping review aims to identify the implementation process of social network interventions (SNI) to address physical activity and sedentary behaviors in children and adolescents. METHODS The scoping review was conducted adhering to the established guidelines. The search was carried out in the ERIC, EBSCO, EMBASE, SCOPUS, and Lilacs databases in April 2023. Social network intervention studies in children and adolescents were included, addressing physical activity or sedentary behaviors. Replicability (TIDieR), applicability (PRECIS-2), and generalizability (RE-AIM) were the explored components of the implementation process. Each component was quantitatively and separately analyzed. Then, a qualitative integration was carried out using a narrative method. RESULTS Most SNI were theoretically framed on the self-determination theory, used social influence as a social mechanism, and used the individual typology of network intervention. Overall, SNI had strong replicability, tended to be pragmatic, and three RE-AIM domains (reach, adoption (staff), and implementation) showed an acceptable level of the generalizability of findings. CONCLUSIONS The analyzed SNI for physical activity and sedentary behaviors in adolescents tended to be reported with high replicability and were conducted pragmatically, i.e., with very similar conditions to real settings. The RE-AIM domains of reach, adoption (staff), and implementation support the generalizability of SNI. Some domains of the principles of implementation strategies of SNI had acceptable external validity (actor, action targets, temporality, dose, and theoretical justification).
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Affiliation(s)
- Jose Petro-Petro
- Instituto de Educación Física, Universidad de Antioquia, Carrera 75 Nº 65-87 - Bloque 45, Medellín, Colombia.
- Departamento de Cultura Física, Universidad de Córdoba, Montería, Colombia.
| | - Carlos Mario Arango-Paternina
- Research Group on Physical Activity for Health (AFIS), Instituto Universitario de Educación Física y Deportes; Universidad de Antioquia, Ciudadela Robledo, Medellín, Colombia
| | - Fredy Alonso Patiño-Villada
- Research Group on Physical Activity for Health (AFIS), Instituto Universitario de Educación Física y Deportes; Universidad de Antioquia, Ciudadela Robledo, Medellín, Colombia
| | - Jhon Fredy Ramirez-Villada
- Research Group on Physical Activity for Health (AFIS), Instituto Universitario de Educación Física y Deportes; Universidad de Antioquia, Ciudadela Robledo, Medellín, Colombia
| | - Ross C Brownson
- Prevention Research Center, Brown School, Washington University, St. Louis, MO, USA
- Department of Surgery (Division of Public Health Sciences) and Alvin J. Siteman Cancer Center, Washington University School of Medicine; Washington University, St. Louis, MO, USA
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Espina C, Feliu A, González Vingut A, Liddle T, Jimenez-Garcia C, Olaya-Caro I, Perula-De-Torres LÁ. Population-Based Cancer Prevention Education Intervention Through mHealth: A Randomized Controlled Trial. J Med Syst 2024; 48:9. [PMID: 38194118 PMCID: PMC10776794 DOI: 10.1007/s10916-023-02026-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/02/2023] [Indexed: 01/10/2024]
Abstract
Despite the high potential of mHealth-related educational interventions to reach large segments of the population, implementation and adoption of such interventions may be challenging. The objective of this study was to gather knowledge on the feasibility of a future cancer prevention education intervention based on the European Code Against Cancer (ECAC), using a population-based mHealth implementation strategy. A type-2 hybrid effectiveness-implementation study was conducted in a sample of the Spanish general population to assess adoption, fidelity, appropriateness, and acceptability of an intervention to disseminate cancer prevention messages, and willingness to consult further digital information. Participation rates, sociodemographic data, mHealth use patterns and implementation outcomes were calculated. Receiving cancer prevention messages through mHealth is acceptable, appropriate (frequency, timing, understandability and perceived usefulness) and feasible. mHealth users reported high access to the Internet through different devices, high ability and confidence to browse a website, and high willingness to receive cancer prevention messages in the phone, despite low participation rates in comparison to the initial positive response rates. Although adoption of the intervention was high, post-intervention fidelity was seriously hampered by the disruptions caused by the Covid-19 pandemic, which may have affected recall bias. In the context of the Europe's Beating Cancer Plan to increase knowledge about cancer prevention across the European Union, this study contributes to inform the design of future interventions using mHealth at large scale, to ensure a broad coverage and adoption of cancer prevention messages as those promoted by the ECAC.Trial Registration: ClinicalTrials.gov from the U.S. National Library of Medicine, NCT05992792. Registered 15 August 2023 - Retrospectively registered https://clinicaltrials.gov/study/NCT05992792?cond=Cancer&term=NCT05992792&rank=1 .
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Affiliation(s)
- Carolina Espina
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, 25 avenue Tony Garnier CS 90627, 69366, Lyon CEDEX 07, France.
| | - Ariadna Feliu
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, 25 avenue Tony Garnier CS 90627, 69366, Lyon CEDEX 07, France
| | - Albert González Vingut
- Health Emergencies Center 061, CRM e I+D+I Salud Responde, Consejería de Salud y Consumo, Junta de Andalucía, Seville, Spain
| | - Theresa Liddle
- Health Emergencies Center 061, Salud Responde, Consejería de Salud y Consumo, Junta de Andalucía, Jaén, Spain
| | - Celia Jimenez-Garcia
- Maimonides Institute of biomedical Research of Cordoba (IMIBIC)/University of Cordoba, Córdoba, Spain
- Health District of Cordoba-Guadalquivir, Córdoba, Spain
| | - Inmaculada Olaya-Caro
- Maimonides Institute of biomedical Research of Cordoba (IMIBIC)/University of Cordoba, Córdoba, Spain
- Health District of Cordoba-Guadalquivir, Córdoba, Spain
| | - Luis Ángel Perula-De-Torres
- Maimonides Institute of biomedical Research of Cordoba (IMIBIC)/University of Cordoba, Córdoba, Spain
- Programa de Actividades de Promoción y Prevención de la Salud (PAPPS-semFYC), Barcelona, Spain
- Chronicity, Primary Care and Health Promotion Research Network (RICAPPS), Cooperative Research Networks Oriented to Health Results (RICORS), Carlos III Health Institute, Madrid, Spain
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Willinger L, Schweizer F, Böhm B, Scheller DA, Jonas S, Oberhoffer-Fritz R, Müller J, Reimer LM. Evaluation of the gamified application KIJANI to promote physical activity in children and adolescents: A multimethod study. Digit Health 2024; 10:20552076241271861. [PMID: 39161345 PMCID: PMC11331568 DOI: 10.1177/20552076241271861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 07/04/2024] [Indexed: 08/21/2024] Open
Abstract
Objective Digital approaches have the potential to make activity promotion attractive and age-appropriate for children and adolescents. KIJANI is a mobile application aiming to increase physical activity (PA) in youth via gamification and augmented reality. This study investigates the user experience with KIJANI through a multimethod approach. Approaches KIJANI is based on the concept that virtual coins can be earned through PA, for example, in the form of collected step counts. With these coins, blocks can be bought, which can be used to create virtual buildings and landscapes and integrate these into the player's real-world environment via augmented reality. To evaluate the user experience, participants played KIJANI in groups of three for 25 min. Afterwards KIJANI was evaluated qualitatively with one-on-one semi-structured interviews as well as quantitatively with standardized questionnaires. Results Overall, 22 participants (12.6 ± 1.7 years, 6 girls) were included in the study. The overall game concept and realization were well received by the target group. Study participants did have various and creative ideas for the further development of KIJANI. The majority (n = 16) thought that using KIJANI would increase their PA level. User experience based on the UEQ scale was (mean ± SD): attractiveness (1.78 ± 1.82), perspicuity (2.15 ± 0.680), efficiency (0.67 ± 1.25), dependability, (1.21 ± 0.93), stimulation (1.24 ± 1.78), and novelty (1.27 ± 1.34). Conclusion With these insights, a further step has been taken in the participatory development of KIJANI. Apps like KIJANI appear to be suitable for PA promotion in children and adolescents.
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Affiliation(s)
- Laura Willinger
- Preventive Pediatrics, Technical University of Munich, Munich, Germany
| | - Florian Schweizer
- School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Birgit Böhm
- Preventive Pediatrics, Technical University of Munich, Munich, Germany
| | - Daniel A Scheller
- Didactics in Sport and Health, Technical University of Munich, Munich, Germany
| | - Stephan Jonas
- Institute for Digital Medicine, University Hospital Bonn, Bonn, Germany
| | | | - Jan Müller
- Preventive Pediatrics, Technical University of Munich, Munich, Germany
| | - Lara Marie Reimer
- School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
- Institute for Digital Medicine, University Hospital Bonn, Bonn, Germany
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Javed A, Kim DS, Hershman SG, Shcherbina A, Johnson A, Tolas A, O’Sullivan JW, McConnell MV, Lazzeroni L, King AC, Christle JW, Oppezzo M, Mattsson CM, Harrington RA, Wheeler MT, Ashley EA. Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:411-419. [PMID: 37794870 PMCID: PMC10545510 DOI: 10.1093/ehjdh/ztad047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/27/2023] [Indexed: 10/06/2023]
Abstract
Aims Physical activity is associated with decreased incidence of the chronic diseases associated with aging. We previously demonstrated that digital interventions delivered through a smartphone app can increase short-term physical activity. Methods and results We offered enrolment to community-living iPhone-using adults aged ≥18 years in the USA, UK, and Hong Kong who downloaded the MyHeart Counts app. After completion of a 1-week baseline period, e-consented participants were randomized to four 7-day interventions. Interventions consisted of: (i) daily personalized e-coaching based on the individual's baseline activity patterns, (ii) daily prompts to complete 10 000 steps, (iii) hourly prompts to stand following inactivity, and (iv) daily instructions to read guidelines from the American Heart Association (AHA) website. After completion of one 7-day intervention, participants subsequently randomized to the next intervention of the crossover trial. The trial was completed in a free-living setting, where neither the participants nor investigators were blinded to the intervention. The primary outcome was change in mean daily step count from baseline for each of the four interventions, assessed in a modified intention-to-treat analysis (modified in that participants had to complete 7 days of baseline monitoring and at least 1 day of an intervention to be included in analyses). This trial is registered with ClinicalTrials.gov, NCT03090321. Conclusion Between 1 January 2017 and 1 April 2022, 4500 participants consented to enrol in the trial (a subset of the approximately 50 000 participants in the larger MyHeart Counts study), of whom 2458 completed 7 days of baseline monitoring (mean daily steps 4232 ± 73) and at least 1 day of one of the four interventions. Personalized e-coaching prompts, tailored to an individual based on their baseline activity, increased step count significantly (+402 ± 71 steps from baseline, P = 7.1⨯10-8). Hourly stand prompts (+292 steps from baseline, P = 0.00029) and a daily prompt to read AHA guidelines (+215 steps from baseline, P = 0.021) were significantly associated with increased mean daily step count, while a daily reminder to complete 10 000 steps was not (+170 steps from baseline, P = 0.11). Digital studies have a significant advantage over traditional clinical trials in that they can continuously recruit participants in a cost-effective manner, allowing for new insights provided by increased statistical power and refinement of prior signals. Here, we present a novel finding that digital interventions tailored to an individual are effective in increasing short-term physical activity in a free-living cohort. These data suggest that participants are more likely to react positively and increase their physical activity when prompts are personalized. Further studies are needed to determine the effects of digital interventions on long-term outcomes.
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Affiliation(s)
- Ali Javed
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steven G Hershman
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Biofourmis, Boston, MA, USA
| | - Anna Shcherbina
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anders Johnson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alexander Tolas
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jack W O’Sullivan
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael V McConnell
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- identifeye HEALTH, Redwood City, CA, USA
| | - Laura Lazzeroni
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Abby C King
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Health Research and Policy, Stanford University, Stanford, CA, USA
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey W Christle
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marily Oppezzo
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - C Mikael Mattsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Robert A Harrington
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
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