Evidence map›Paper›PMID 35810405›Full record

ArticleThe Gerontologist2023

Integrating Technology Adoption Models Into Implementation Science Methodologies: A Mixed-Methods Preimplementation Study.

Natasha L Gallant, Thomas Hadjistavropoulos, Rhonda J N Stopyn, Emma K Feere

Abstract read
In one paragraph

Article in The Gerontologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  5. Review
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

4 authors.

Natasha L GallantDepartment of Psychology, University of Regina, Regina, Saskatchewan, Canada.ORCID 0000-0002-1915-2106
Thomas HadjistavropoulosDepartment of Psychology, University of Regina, Regina, Saskatchewan, Canada.
Rhonda J N StopynDepartment of Psychology, University of Regina, Regina, Saskatchewan, Canada.
Emma K FeereDepartment of Psychology, University of Regina, Regina, Saskatchewan, Canada.

Funding

CIHR
6 · The paper itself

Abstract

BACKGROUND AND

objectivesSustainable implementation of patient-oriented technologies in health care settings is challenging. Preimplementation studies guided by the Consolidated Framework for Implementation Research (CFIR) can provide opportunities to address barriers and leverage facilitators that can maximize the likelihood of successful implementation. When looking to implement patient-oriented technologies, preimplementation studies may also benefit from guidance from a conceptual framework specific to technology adoption such as the Unified Theory of Acceptance and Use of Technology. This study was, therefore, aimed at identifying determinants for the successful implementation of a patient-oriented technology (i.e., automated pain behavior monitoring [APBM] system) within a health care setting (i.e., long-term care [LTC] facility). RESEARCH DESIGN AND

methodsUsing a mixed-methods study design, 164 LTC nurses completed a set of questionnaires and 68 LTC staff participated in individual interviews involving their perceptions of an APBM system in LTC environments. Quantitative data were analyzed using a series of mediation analyses and narrative responses were examined using directed content analysis.

resultsPerformance expectancy and effort expectancy partially and fully mediated the influence of implementation, readiness for organizational change, and technology readiness constructs on behavioral intentions to use the APBM system in LTC environments. Findings from the qualitative portion of this study provide guidance for the development of an intervention that is grounded in the CFIR. DISCUSSION AND IMPLICATIONS: Based on our results, we offer recommendations for the implementation of patient-oriented technologies in health care settings.

Indexed as

Implementation SciencePrimary Health CareHumansResearch DesignBarriersFacilitatorsHealth care settingsPatient-oriented technologyTechnology adoption

Identifiers

PMID35810405
PMCPMC10028232

What OpenQuestion holds

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LicenceCC BY-NC
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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.