Evidence map›Paper›PMID 39207828›Full record

ArticleJMIR research protocols2024

Optimizing Response Rates to Examine Health IT Maturity and Nurse Practitioner Care Environments in US Nursing Homes: Mixed Mode Survey Recruitment Protocol.

Gregory L Alexander, Lusine Poghosyan, Yihong Zhao, Mollie Hobensack, Sergey Kisselev, Allison A Norful, John McHugh, Keely Wise, M Brooke Schrimpf, Ann Kolanowski and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. 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

12 authors.

Gregory L Alexander *School of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0003-4500-8797
Lusine Poghosyan *School of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0002-0529-8171
Yihong Zhao *School of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0001-8730-0476
Mollie Hobensack *Icahn School of Medicine Mount Sinai, New York, NY, United States.ORCID 0000-0003-2852-4175
Sergey Kisselev *School of Nursing, Columbia University, New York, NY, United States.ORCID 0009-0006-4372-7391
Allison A Norful *School of Nursing, Columbia University, New York, NY, United States.ORCID 0000-0002-6202-058X
John McHugh *School of Public Health, Columbia University Mailman, New York, NY, United States.ORCID 0000-0002-9454-7589
Keely Wise *School of Nursing, Columbia University, New York, NY, United States.ORCID 0009-0004-4984-6557
M Brooke Schrimpf *School of Nursing, Columbia University, New York, NY, United States.ORCID 0009-0002-4809-2613
Ann Kolanowski *Pennsylvania State University, University Park, PA, United States.ORCID 0000-0003-3572-1791
Tamanna Bhatia *School of Public Health, Columbia University Mailman, New York, NY, United States.ORCID 0009-0005-8224-9591
Sabrina Tasnova *School of Nursing, Columbia University, New York, NY, United States.ORCID 0009-0003-2132-6157

Funding

Impact of Nursing Home Leadership Care Environments and Health Information Technology on Outcomes of Residents with Alzheimer's Disease and Related Dementias (ADRD)R01AG080517 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gregory L. Alexander, Lusine Poghosyan · 2023 to 2026
$3.2M
NIA NIH HHS R01 AG080517
6 · The paper itself

Abstract

backgroundSurvey-driven research is a reliable method for large-scale data collection. Investigators incorporating mixed-mode survey designs report benefits for survey research including greater engagement, improved survey access, and higher response rate. Mix-mode survey designs combine 2 or more modes for data collection including web, phone, face-to-face, and mail. Types of mixed-mode survey designs include simultaneous (ie, concurrent), sequential, delayed concurrent, and adaptive. This paper describes a research protocol using mixed-mode survey designs to explore health IT (HIT) maturity and care environments reported by administrators and nurse practitioners (NPs), respectively, in US nursing homes (NHs).

objectiveThe aim of this study is to describe a research protocol using mixed-mode survey designs in research using 2 survey tools to explore HIT maturity and NP care environments in US NHs.

methodsWe are conducting a national survey of 1400 NH administrators and NPs. Two data sets (ie, Care Compare and IQVIA) were used to identify eligible facilities at random. The protocol incorporates 2 surveys to explore how HIT maturity (survey 1 collected by administrators) impacts care environments where NPs work (survey 2 collected by NPs). Higher HIT maturity collected by administrators indicates greater IT capabilities, use, and integration in resident care, clinical support, and administrative activities. The NP care environment survey measures relationships, independent practice, resource availability, and visibility. The research team conducted 3 iterative focus groups, including 14 clinicians (NP and NH experts) and recruiters from 2 national survey teams experienced with these populations to achieve consensus on which mixed-mode designs to use. During focus groups we identified the pros and cons of using mixed-mode designs in these settings. We determined that 2 mixed-mode designs with regular follow-up calls (Delayed Concurrent Mode and Sequential Mode) is effective for recruiting NH administrators while a concurrent mixed-mode design is best to recruit NPs.

resultsParticipant recruitment for the project began in June 2023. As of April 22, 2024, a total of 98 HIT maturity surveys and 81 NP surveys have been returned. Recruitment of NH administrators and NPs is anticipated through July 2025. About 71% of the HIT maturity surveys have been submitted using the electronic link and 23% were submitted after a QR code was sent to the administrator. Approximately 95% of the NP surveys were returned with electronic survey links.

conclusionsPros of mixed-mode designs for NH research identified by the team were that delayed concurrent, concurrent, and sequential mixed-mode methods of delivering surveys to potential participants save on recruitment time compared to single mode delivery methods. One disadvantage of single-mode strategies is decreased versatility and adaptability to different organizational capabilities (eg, access to email and firewalls), which could reduce response rates. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56170.

Indexed as

Nurse PractitionersNursing HomesHumansSurveys and QuestionnairesUnited StatesCare Environmentsclinical informatics researchclinicianselectronic health recordelectronic health recordshealth care surveysHIT Maturitymixed-mMode surveynursing homenursing homessurveysurvey designsurvey methodssurveys and questionnairesUnited States

Identifiers

PMID39207828
PMCPMC11393505

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.