The objective of this review was to synthesize existing evidence on mobile health (mHealth) interventions geared at improving HPV related knowledge, HPV vaccination intent and HPV vaccination uptake. Between November and December 2019, systematic searches were performed in the databases PubMed, Ebsco/CINAHL, Ebsco/PsycINFO, and Clarivate Analytics/Web of Science Social Science Citation Index (SSCI). We identified 805 articles of which 92 were eligible for inclusion after abstract screening. 19 articles met the inclusion criteria of the review based on full article review and all but one of the included interventions were conducted in the United States. mHealth interventions ranged from text messages, phone calls to interactive voice recordings and software on tablets. All four interventions which attempted to improve HPV knowledge and vaccination intent, reported positive findings, however, only two interventions reported statistically significant improvements between intervention and control groups. 14 interventions reported an increase in HPV vaccination uptake and vaccination series completion among the intervention groups; including when mHealth interventions were compared to control groups or non-mHealth interventions. Some factors noted in the successful interventions included frequency of messages, combinations of multiple interventions including in-person education session, written educational materials, texts alongside call or emails; tailored messages as well as participant's intent to vaccinate at baseline. mHealth interventions potentially show promise as tools in improving short-term vaccination knowledge, intent, and uptake of HPV vaccination. There is however a need to refine components which can promote mHealth interventions' success as well as for the evaluation of such interventions in different contexts and over time.
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http://dx.doi.org/10.1016/j.pmedr.2020.101289 | DOI Listing |
JMIR Form Res
January 2025
ICMR-National Institute for Research in Digital Health and Data Science, Ansari Nagar, New Delhi, 110029, India, 91 7840870009.
Background: Verbal autopsy (VA) has been a crucial tool in ascertaining population-level cause of death (COD) estimates, specifically in countries where medical certification of COD is relatively limited. The World Health Organization has released an updated instrument (Verbal Autopsy Instrument 2022) that supports electronic data collection methods along with analytical software for assigning COD. This questionnaire encompasses the primary signs and symptoms associated with prevalent diseases across all age groups.
View Article and Find Full Text PDFJ Telemed Telecare
January 2025
Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Introduction: Optimal hospital bed utilization requires innovative patient care models. We studied a novel hospitalist model utilizing telemedicine to facilitate collaboration with affiliated emergency departments (EDs) and support medical triage and care of ED patients with high likelihood of hospital admission.
Methods: Telehospitalists based at a tertiary care facility collaborated with four community EDs in the same healthcare network between January 1, 2022, and April 30, 2023.
Eur Heart J Digit Health
January 2025
Department of Rehabilitation Medicine, Erasmus MC, Rotterdam, The Netherlands.
Aims: Cardiac rehabilitation (CR) shows lower effectiveness and higher dropouts among people with a low socioeconomic position (SEP) compared to those with a high SEP. This study evaluated an eHealth intervention aimed at supporting patients with a low SEP during their waiting period preceding CR.
Methods And Results: Participants with a low SEP in their waiting period before CR were randomized into an intervention group, receiving guidance videos, patient narratives, and practical tips, or into a control group.
Eur Heart J Digit Health
January 2025
Cardiology Department, Dr Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), C/Maestro Alonso s/n, Alicante 03010, Spain.
Aims: Evidence regarding the safety of early discharge following transcatheter aortic valve implantation (TAVI) is limited. The aim of this study was to evaluate the safety of very early (<24) and early discharge (24-48 h) as compared to standard discharge (>48 h), supported by the implementation of a voice-based virtual assistant using artificial intelligence (AI) and natural language processing.
Methods And Results: Single-arm prospective observational study that included consecutive patients who underwent TAVI in a tertiary hospital in 2023 and were discharged under an AI follow-up programme.
Digit Health
January 2025
The National Research Centre for The Working Environment, Copenhagen, Denmark.
Background: People with low back pain (LBP) are often recommended to self-manage their condition, but it can be challenging without support. Digital health interventions (DHIs) have shown promise in supporting self-management of LBP, but little is known about healthcare providers' (HCPs) engagement in implementing these.
Aims: We aimed to examine HCPs' engagement in patient recruitment for the selfBACK app clinical trial and explore their perceptions of the app.
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