SynthesisBMC medical informatics and decision making2012
A systematic review of healthcare applications for smartphones.
Synthesis in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02723136 (Implementing a Smartphone Application to Optimise Academic Performance Among Medical Students), which is not on this map. Cited by 353 papers, 17 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.
Implementing a Smartphone Application to Optimise Academic Performance Among Medical Students: A Randomised Trial
Who cites it
353 citing papers in PubMed, 17 syntheses or guidelines pooled it.
- Smartphone Apps for Preventing Adolescent Health Problems Among Health Care Professionals: Systematic Search and Quality Assessment.JMIR mHealth and uHealth · 2026Pooled it
- Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2024Pooled it
- Diagnostic accuracy of eHealth literacy measurement tools in older adults: a systematic review.BMC geriatrics · 2023Pooled it
- An update on mobile applications collecting data among subjects with or at risk of Alzheimer's disease.Frontiers in aging neuroscience · 2023Pooled it
- Effectiveness of eHealth and mHealth Interventions Supporting Children and Young People Living With Juvenile Idiopathic Arthritis: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2021Pooled it
- Efficacy of Mobile Health in Patients With Low Back Pain: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales.JMIR mHealth and uHealth · 2021Pooled it
- Digital interventions for the management of chronic obstructive pulmonary disease.The Cochrane database of systematic reviews · 2021Pooled it
- eHealth Delivery of Educational Content Using Selected Visual Methods to Improve Health Literacy on Lifestyle-Related Diseases: Literature Review.JMIR mHealth and uHealth · 2020Pooled it
- How patient-generated health data and patient-reported outcomes affect patient-clinician relationships: A systematic review.Health informatics journal · 2020Pooled it
- Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2020Pooled it
- Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- A Systematic Review of eHealth Interventions Addressing HIV/STI Prevention Among Men Who Have Sex With Men.AIDS and behavior · 2019Pooled it
- Evidence on the Use of Mobile Apps During the Treatment of Breast Cancer: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- Pooled it
- Effectiveness of digital care platform CMyLife for patients with chronic myeloid leukemia: results of a patient-preference trial.BMC health services research · 2023Trial
- A Smartphone Healthcare Application,Nutrients · 2022Trial
- Effects of Psychoeducational Interventions Using Mobile Apps and Mobile-Based Online Group Discussions on Anxiety and Self-Esteem in Women With Breast Cancer: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
293 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced mobile communications and portable computation are now combined in handheld devices called "smartphones", which are also capable of running third-party software. The number of smartphone users is growing rapidly, including among healthcare professionals. The purpose of this study was to classify smartphone-based healthcare technologies as discussed in academic literature according to their functionalities, and summarize articles in each category.
methodsIn April 2011, MEDLINE was searched to identify articles that discussed the design, development, evaluation, or use of smartphone-based software for healthcare professionals, medical or nursing students, or patients. A total of 55 articles discussing 83 applications were selected for this study from 2,894 articles initially obtained from the MEDLINE searches.
resultsA total of 83 applications were documented: 57 applications for healthcare professionals focusing on disease diagnosis (21), drug reference (6), medical calculators (8), literature search (6), clinical communication (3), Hospital Information System (HIS) client applications (4), medical training (2) and general healthcare applications (7); 11 applications for medical or nursing students focusing on medical education; and 15 applications for patients focusing on disease management with chronic illness (6), ENT-related (4), fall-related (3), and two other conditions (2). The disease diagnosis, drug reference, and medical calculator applications were reported as most useful by healthcare professionals and medical or nursing students.
conclusionsMany medical applications for smartphones have been developed and widely used by health professionals and patients. The use of smartphones is getting more attention in healthcare day by day. Medical applications make smartphones useful tools in the practice of evidence-based medicine at the point of care, in addition to their use in mobile clinical communication. Also, smartphones can play a very important role in patient education, disease self-management, and remote monitoring of patients.
Indexed as
Identifiers
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.