ArticlemHealth2022
"It closes the gap when the ball is dropped": patient perspectives of a novel smartphone app for regional care coordination after hospital encounters.
Article in mHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The gaps and challenges in digital health technology use as perceived by patients: a scoping review and narrative meta-synthesis.Frontiers in digital health · 2025Pooled it
- Treating Childhood Obesity: Building and Evaluating Evidence-Based Models of Integrated Care.Journal of the Endocrine Society · 2025Review
- Digital Health Technology Use Among Spanish Speakers in the US: A Scoping Review.JAMA network open · 2025Article
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
Abstract
Background: Despite the broad adoption of electronic health records (EHRs) for inpatient and outpatient care, and wide availability of EHR-linked portals, these tools are not always effective in informing primary care teams about patients' emergency department (ED) visits or inpatient admissions, leading to persistent gaps in care coordination. The objective of this study was to understand how patients with limited patient portal use in a safety net setting engaged with a smartphone app that used location tracking to detect and notify care teams about patients' hospital use in order to stimulate care coordination and follow-up care. Methods: We recruited English- and Spanish-speaking adults at high risk of hospital use from a Federally Qualified Health Center (FQHC). The app detected when patients visited the hospital and asked them to confirm a hospital visit. When confirmed, the app notified the primary care team about the visit, and the care team followed up with patients according to the FQHC protocols for care coordination. We collected qualitative data on app experience from participants who used the app for four months and used a general inductive approach to identify recurring themes. Results: Participants generally reported a positive app experience, as it helped solve the problem of poor follow-up care. "I liked the goal of the app…Ultimate goal of it was comforting", recounted one participant when describing her app experience. Participants thought the app push notifications could be refined and the app itself could be modernized. Participants also suggested improvements to the push notifications they received from the app and the visit information they entered into the app for care teams to receive. Some participants also suggested improvements to the FQHC's care coordination workflows facilitated by the app, like an immediate connection to the patient's primary care team. Conclusions: The app was well received by low-income patients at high risk of ED/inpatient visits. Future research is needed to determine feasibility of implementation in other settings.
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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.