Evidence map›Paper›PMID 36033637›Full record

ArticleFrontiers in digital health2022

Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience.

D Keith McInnes, Shawn Dunlap, Gemmae M Fix, Marva V Foster, Jennifer Conti, Jill S Roncarati, Justeen K Hyde

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

D Keith McInnesCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Shawn DunlapCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Gemmae M FixCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Marva V FosterBoston University School of Medicine, Section of General Internal Medicine, Boston, MA, United States.
Jennifer ContiCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Jill S RoncaratiCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Justeen K HydeCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.

Funding

HSRD VA I01 HX002754
6 · The paper itself

Abstract

Objective: While Veteran homelessness has steadily declined over the last decade, those who continue to be unhoused have complex health and social concerns. Housing instability interferes with access to healthcare, social services, and treatment adherence. Preventing unwanted housing transitions is a public health priority. This study is the first phase of a larger research agenda that aims to test the acceptability and feasibility of smartphone-enabled data collection with veterans experiencing homelessness. In preparation for the development of the smartphone data collection application, we utilized ethnographic methods guided by user-centered design principles to inform survey content, approach to recruitment and enrollment, and design decisions. Methods: We used a case study design, selecting a small sample ( Results: All participants had experience using smartphones and all but one owned one at the time of enrollment. Participants described their smartphones as "lifelines" to social network members, healthcare, and social service providers. Social relationships, physical and mental health, substance use, income, and housing environment were identified as being directly and indirectly related to transitions in housing. Over the course of ~30 days of engagement with participants, the research team observed dynamic fluctuations in emotional states, relationships, and utilization of services. These fluctuations could set off a chain of events that were observed to both help participants transition into more stable housing or lead to setbacks and further increase vulnerability and instability. In addition to informing the content of survey questions that will be programmed into the smartphone app, participants also provided a broad range of recommendations for how to approach recruitment and enrollment in the future study and design features that are important to consider for veterans with a range of physical abilities, concerns with trust and privacy, and vulnerability to loss or damage of smartphones. Conclusion: The ethnographic approach guided by a user-centered design framework provided valuable data to inform our future smartphone data collection effort. Data were critical to understanding aspects of day-to-day life that important to content development, app design, and approach to data collection.

Indexed as

appsdigital health toolshomelessnessqualitative researchsmartphoneuser-centered designveterans

Identifiers

PMID36033637
PMCPMC9411857

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.