Evidence map›Paper›PMID 41724734›Full record

Observational studyJournal of patient safety2026

Caregiver and Patient Input for Quality and Safety (C-PIQS) Pilot Study: Patient-Initiated Safety Observations Using an m-Health Tool.

Anjana E Sharma, Lizette Avina, Amber Tran, John Boscardin, Melisa C Sosa, Maité Garcia, Samuel Solis, Urmimala Sarkar, Glenn Rosenbluth, Margaret Stafford and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of patient safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Anjana E SharmaUCSF Department of Family and Community Medicine.ORCID 0000-0001-5541-2414
Lizette AvinaUCSF Department of Pediatrics.
Amber TranUCSF Department of Family and Community Medicine.
John BoscardinUCSF Department of Medicine.
Melisa C SosaUCSF Helen Diller Family Comprehensive Cancer Center.
Maité GarciaUCSF Department of Health Policy and Law.
Samuel SolisUCSF Philip R. Lee Institute for Health Policy Studies.
Urmimala SarkarUCSF SFGH Division of General Internal Medicine.
Glenn RosenbluthUCSF Department of Pediatrics.
Margaret StaffordUCSF Department of Family and Community Medicine.
James D HarrisonUCSF Division of Hospital Medicine, San Francisco, California.
Andrew AuerbachUCSF Division of Hospital Medicine, San Francisco, California.
Naomi S BardachUCSF Department of Pediatrics.

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
The Family Input for Quality and Safety (FIQS) StudyR01HD100393 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARDACH, NAOMI SHULA · 2020 to 2024
$3.7M
Placing patient preferences at the center of care plans for older adults transitioning from the hospital to a skilled nursing facilityK01AG073533 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HARRISON, JAMES DAVID · 2021 to 2025
$660k
AHRQ HHS K08 HS028477NCATS NIH HHS KL2 TR001870NIA NIH HHS K01 AG073533NICHD NIH HHS R01 HD100393
6 · The paper itself

Abstract

backgroundSafety reporting systems do not identify all adverse events affecting hospitalized patients. Patients and caregivers may identify inpatient safety events that health care staff miss.

objectiveTo assess the feasibility of a text message-enabled safety reporting tool among adult inpatients and caregivers at a public hospital.

designProspective, observational pilot study to gather patient or caregiver safety observations. We assessed feasibility through engagement with the tool, reporting rates, content analysis of observations by category, and comparison to staff-entered incident reports.

participantsEnglish-speaking and Spanish-speaking adults and caregivers age 18+ admitted to an urban, public hospital.

interventionParticipants received a daily text message eliciting safety observations, with a link to an online reporting tool. MAIN MEASURES: Number of safety observations/100 study-days, adjusted for patient sociodemographics, patient activation, and patient electronic health literacy.

resultsSeventy-five patients and 6 caregivers participated in the study (participation rate: 50%). Of patients, 56% were Latinx and 19% Black/African American; 44% were Spanish-speaking. Of all participants, 50.6% (41/81) engaged with at least 1 text message. There were 64 total safety observations, 27 patient-entered and 37 by caregivers. In multivariable analysis, Spanish-speaking Latinx patients made 1.8 [0.04-3.5] observations/100 study-days; English-speaking Latinx patients 3.4 [0-10.2]; Black/African American patients 5.8 [1.5-10.2] and combined Asian/Multiracial/white/Other English-speaking patients 11.9 [5.9-17.9] ( P =0.006). The most common category was "What Went Well" (34%), followed by Other (27%). Only one observation overlapped with a staff-entered incident report.

conclusionsThe tool feasibly gathered relevant patient-reported safety observations from admitted patients from marginalized populations. Our study found lower reporting rates among Spanish-preferring, Latinx, and Black/African American patients, despite known higher rates of adverse events for these groups. Tracking minoritized patient participation and addressing differential engagement in patient engagement safety initiatives can improve racial and ethnic equity in reporting rates and, ultimately, safety, and health outcomes.

Indexed as

CaregiversPatient ParticipationPatient SafetyText MessagingAdultAgedFeasibility StudiesFemaleHospitals, PublicHumansMaleMiddle AgedPilot ProjectsProspective Studiescommunicationmobile healthpatient safety

Identifiers

PMID41724734
PMCPMC12997656

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.