ArticleJournal of general internal medicine2008
Patient difficulty using tablet computers to screen in primary care.
Article in Journal of general internal medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04594304 (Screening While You Wait 2), which is not on this map. Cited by 46 papers.
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.
Screening While You Wait 2: Alcohol and Tobacco Use
Who cites it
46 citing papers in PubMed.
- Optimizing Recruitment and Retention in Substance Use Disorder Research in Emergency Departments.The western journal of emergency medicine · 2023Trial
- Health Within Reach-a Patient-Centered Intervention to Increase Hepatitis B Screening Among Asian Americans: a Randomized Clinical Trial.Journal of general internal medicine · 2022Trial
- Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- Electronic self-administered screening for substance use in adult primary care patients: feasibility and acceptability of the tobacco, alcohol, prescription medication, and other substance use (myTAPS) screening tool.Addiction science & clinical practice · 2019Trial
- A randomized controlled pilot trial of the functional assessment screening tablet to engage patients at the point of care.Journal of general internal medicine · 2014Trial
- Promoting safe prescribing in primary care with a contraceptive vital sign: a cluster-randomized controlled trial.Annals of family medicineTrial
- Computer-assisted medical history taking prior to patient consultation in the outpatient care setting: a prospective pilot project.BMC health services research · 2024Article
- Night-time hot spring bathing is associated with improved blood pressure control: A mobile application and paper questionnaire study.PloS one · 2024Article
- Evaluation of electronic patient-reported outcome assessment in inpatient cancer care: a feasibility study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine.Insights into imaging · 2022Article
- A pilot study of patient satisfaction with a self-completed tablet-based digital questionnaire for collecting the patient's medical history in an emergency department.BMC health services research · 2021Article
- Feasibility of Mobile Technology to Identify and Address Patients' Unmet Social Needs in a Primary Care Clinic.Population health management · 2021Article
- Use of Self-Reported Computerized Medical History Taking for Acute Chest Pain in the Emergency Department - the Clinical Expert Operating System Chest Pain Danderyd Study (CLEOS-CPDS): Prospective Cohort Study.Journal of medical Internet research · 2021Article
- Structured Digital Self-Assessment of Patient Anamnesis Prior to Computed Tomography: Performance Evaluation and Added Value.Journal of medical systems · 2021Article
- Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling.Journal of medical Internet research · 2020Article
- Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study.JMIR human factors · 2020Article
- Implementing electronic substance use disorder and depression and anxiety screening and behavioral interventions in primary care clinics serving people with HIV: Protocol for the Promoting Access to Care Engagement (PACE) trial.Contemporary clinical trials · 2019Article
- Routine patient surveys: Patients' preferences and information gained by healthcare providers.PloS one · 2019Article
- Patients Contributing to Their Doctors' Notes: Insights From Expert Interviews.Annals of internal medicine · 2018Article
- Usability of a Novel Mobile Health iPad App by Vulnerable Populations.JMIR mHealth and uHealth · 2017Article
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.
Funding
Abstract
backgroundPatient-administered computerized questionnaires represent a novel tool to assist primary care physicians in the delivery of preventive health care.
objectiveThe aim of this study was to assess patient-reported ease of use with a self-administered tablet computer-based questionnaire in routine clinical care.
designAll patients seen in a university-based primary care practice were asked to provide routine screening information using a touch-screen tablet computer-based questionnaire. Patients reported difficulty using the tablet computer after completion of their first questionnaire. PATIENTS: Ten thousand nine hundred ninety-nine patients completed the questionnaire between January 2004 and January 2006. MEASUREMENTS: We calculated rates of reporting difficulty (no difficulty, some difficulty, or a lot of difficulty) using the tablet computers based on patient age, sex, race, educational attainment, marital status, and number of comorbid medical conditions. We constructed multivariable ordered logistic models to identify predictors of increased self-reported difficulty using the computer.
resultsThe majority of patients (84%) reported no difficulty using the tablet computers to complete the questionnaire, with only 3% reporting a lot of difficulty. Significant predictors of reporting more difficulty included increasing age [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.05-1.05)]; Asian race (OR 2.3, 95% CI 1.8-2.9); African American race (OR 1.4, 95% CI 1.2-1.6); less than a high school education (OR 3.0, 95% CI 2.6-3.4); and the presence of comorbid medical conditions (1-2: OR 1.3, 95% CI 1.2-1.5; > or =3: OR 1.7 95% CI 1.5-2.1).
conclusionsThe majority of primary care patients reported no difficulty using a self-administered tablet computer-based questionnaire. While computerized questionnaires present opportunities to collect routine screening information from patients, attention must be paid to vulnerable groups.
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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.