ArticleSurgical endoscopy2023
Replacing conventional telecommunication with a freeform HIPAA compliant healthcare texting app: a survey of patient preference.
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Problems and Opportunities of a Smartphone-Based Care Management Platform: Application of the Wald Principles to a Survey-Based Analysis of Patients' Perception in a Pilot Center.Healthcare (Basel, Switzerland) · 2024Article
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
backgroundThe ability to effectively communicate with patients continues to be a challenge for physician offices. Mobile healthcare applications have enhanced the accessibility of healthcare providers to their patients. However, the efficacy of unrestricted, personalized, bidirectional, freeform texting has not been previously evaluated.
methodsWe investigated patient preference and self-reported outcomes using a smartphone HIPAA compliant mobile healthcare texting app, compared to conventional telecommunication, in self-reported quality of care, and impact on preventing unnecessary emergency department visits. A retrospective cohort survey study of a single-surgeon hernia specialist's practice was utilized. Patients with access to a smartphone who received care between July 2017 and March 2020 were instructed to utilize the healthcare texting app as a replacement to calling/receiving calls from the physician's office. Messages to and from patients were delivered directly to their surgeon and the surgical team via non-automated, personalized, freeform text messages, and templates, available to patients at all hours of the day. A depersonalized online survey was then distributed to assess patient perceived quality of care using the app, compared to their past experiences calling physician offices, and whether they preferred using text or conventional telecommunication. Additional statistics were reported using the application's built-in software, including response times, adoption rates, and message volumes.
results90 patients successfully completed the entirety of the survey, median age range 50-60 years old. 97% of respondents reported the texting app provided at least non-inferior quality of care compared to conventional telecommunication, with a majority (75%) experiencing a relatively improved quality of care. 9% reported an unnecessary ED visit being avoided after consulting their physician through the application.
conclusionsUnrestricted, freeform, non-automated communication via texting may be preferred by patients over conventional telecommunication. However, further research is warranted to assess the external validity and clinical impact of such results.
Indexed as
Identifiers
36705752What 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.