ArticleApplied clinical informatics2019
Nurses' Expectations of an Inpatient Portal for Hospitalized Patients and Caregivers.
Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions.Bioengineering (Basel, Switzerland) · 2025Article
- Technology Acceptance of a Mobile Application to Support Family Caregivers in a Long-Term Care Facility.Applied clinical informatics · 2022Article
- Improving Provisioning of an Inpatient Portal: Perspectives from Nursing Staff.Applied clinical informatics · 2022Article
- Facilitating Organizational Change to Accommodate an Inpatient Portal.Applied clinical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundPatient portals are intended to engage patients and enhance patient-centered care. Recent studies suggest that the information within portals could provide benefits to patients and their caregivers during hospitalization; however, few studies have examined nurse and staff expectations of portals when used in the hospital setting.
objectiveThis article examines inpatient nurse and support staff expectations of a commercially available inpatient portal prior to its hospital-wide implementation.
methodsIn this cross-sectional study, nurses and support staff were surveyed 1 month prior to the implementation of an inpatient portal for patients. Items included respondent characteristics, satisfaction with online inpatient portal training, expectations of the effects of portal use on patients, caregivers, and staff, overall acceptance, and barriers to its implementation.
resultsOf 881 respondents, 73.0% were staff nurses, 18.4% nurse assistants, 4.3% unit coordinators, and 1.2% nurse managers. Respondents were generally satisfied with the portal information they received from online training. A majority liked the portal to some extent prior to its use (66.7%); however, they noted multiple implementation barriers, including: tablets would get lost/damaged (66.2% of respondents), patients and/or caregivers would have too many questions (48.5%), and staff would have problems integrating it into their workflow (44.7%). Respondents working on medical units had higher expectations (
conclusionOverall, nurse and support staff had high expectations of the effects of inpatient portal use prior to its hospital-wide implementation. They thought it would benefit patients and/or their caregivers; however, they also perceived several barriers to its implementation. These results will be used in conjunction with patient and caregiver perspectives to inform future efforts to evaluate and improve upon inpatient portal implementation and dissemination across health systems.
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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.