ReviewJournal of medical Internet research2008
The use of the Personal Digital Assistant (PDA) among personnel and students in health care: a review.
Review in Journal of medical Internet research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 6 syntheses or guidelines pooled it, 175 citations in OpenAlex.
- From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.BMC medical informatics and decision making · 2026Pooled it
- Mobile applications addressing violence against women: a systematic review.BMJ global health · 2020Pooled it
- Application of Mobile Health Technologies Aimed at Salt Reduction: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis.PLoS medicine · 2013Pooled it
- A systematic review of healthcare applications for smartphones.BMC medical informatics and decision making · 2012Pooled it
- The impact of mobile handheld technology on hospital physicians' work practices and patient care: a systematic review.Journal of the American Medical Informatics Association : JAMIAPooled it
- A mixed-methods analysis of a library-based hand-held intervention with rural clinicians.Health information and libraries journal · 2014Trial
- Enhancing the Usability of Patient Monitoring Devices in Intensive Care Units: Usability Engineering Processes for Early Warning System (EWS) Evaluation and Design.Journal of clinical medicine · 2025Article
- Development, Usability, and Effect of a Hypertension Mobile Application on Knowledge and Guidelines Adherence among Family and Community Medicine Residents: A Before-and-After Educational Intervention Study.Acta medica Philippina · 2025Article
- Smartphones and Web 2.0. interventions for weight management.Frontiers in digital health · 2025Review
- Empowering patients in primary care: a qualitative exploration of the usability and utility of an online diabetes self-management tool.BMC primary care · 2024Article
- A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults.Dentistry journal · 2023Review
- Barriers and facilitators of using mobile devices as an educational tool by nursing students: a qualitative research.BMC nursing · 2021Article
- Smartphone Medical App Use and Associated Factors Among Physicians at Referral Hospitals in Amhara Region, North Ethiopia, in 2019: Cross-sectional Study.JMIR mHealth and uHealth · 2021Article
- Evaluating the Readiness of Mobile Technology with Respect to e-Heath for Medication in Saudi Arabia: An Integrative Perspective.Journal of multidisciplinary healthcare · 2021Article
- The use of smartphone apps in clinical practice: A survey of South African physiotherapists.The South African journal of physiotherapy · 2020Article
- A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.Expert systems with applications · 2019Article
- A text message delivered smoking cessation intervention: Design and rationale of the Text My Quit Study.Contemporary clinical trials · 2019Article
- Exploring Care Providers' Perceptions and Current Use of Telehealth Technology at Work, in Daily Life, and in Education: Qualitative and Quantitative Study.JMIR medical education · 2019Article
- A Contribution into Developing a Model for Prostate Cancer Self-Care Mobile Application.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth care personnel need access to updated information anywhere and at any time, and a Personal Digital Assistant (PDA) has the potential to meet these requirements. A PDA is a mobile tool which has been employed widely for various purposes in health care practice, and the level of its use is expected to increase. Loaded with suitable functions and software applications, a PDA might qualify as the tool that personnel and students in health care need. In Sweden today, despite its leadership role in mobile technologies, PDAs are not commonly used, and there is a lack of suitable functions and software applications.
objectiveThe aim of the present review was to obtain an overview of existing research on the use of PDAs among personnel and students in health care.
methodsThe literature search included original peer-reviewed research articles written in English and published from 1996 to 2008. All study designs were considered for inclusion. We excluded reviews and studies focusing on the use of PDAs in classroom situations. From March 2006 to the last update in May 2008, we searched PubMed, CINAHL, Cochrane, IngentaConnect, and a local search engine (ELIN@Kalmar). We conducted a content analysis, using Nielsen's Model of System Acceptability as a theoretical framework in structuring and presenting the results.
resultsFrom the 900 references initially screened, 172 articles were selected and critically assessed until 48 articles remained. The majority originated in North-America (USA: n=24, Canada: n=11). The categories which emerged from our content analysis coincided to a certain extent to Nielsen's Model of System Acceptability (social and practical acceptability), including usefulness (utility and usability) subcategories such as learnability, efficiency, errors, and satisfaction. The studies showed that health care personnel and students used PDAs in patient care with varied frequency. Most of the users were physicians. There is some evidence that the use of a PDA in health care settings might improve decision-making, reduce the numbers of medical errors, and enhance learning for both students and professionals, but the evidence is not strong, with most studies being descriptive, and only 6 randomized controlled trials. Several special software programs have been created and tested for PDAs, and a wide range of situations for their use have been reported for different patient groups. Drug and medical information were commonly accessed by PDA users, and the PDA was often viewed as the preferred tool when compared to paper-based documents. Some users regarded the PDA easy to operate, while others found it difficult in the beginning.
conclusionsThis overview of the use of PDAs revealed a positive attitude towards the PDA, which was regarded as a feasible and convenient tool. The possibility of immediate access to medical information has the potential to improve patient care. The PDA seems to be a valuable tool for personnel and students in health care, but there is a need for further intervention studies, randomized controlled trials, action research, and studies with various health care groups in order to identify its appropriate functions and software applications.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.