Dataset Information

Collecting Nursing Research Data 24 Hours a Day: Challenges, Lessons, and Recommendations.

ABSTRACT:

Background

Research on many routine nursing interventions requires data collection around the clock each day (24/7). Strategies for implementing and coordinating a study 24/7 are not discussed in the literature, and best practices are needed.

Objective

To identify strategies incorporated into implementing a nursing intervention trial 24/7, including key lessons learned.

Methods

Strategies to facilitate implementation of a clinical trial of a nursing intervention with patients undergoing mechanical ventilation are shared. Challenges and changes for future studies also are discussed.

Results

Adequate planning, including a detailed operations manual, guides study implementation. Staffing is the most challenging and costly part of a study but is essential to a study's success. Other important strategies include communication among the study personnel and with collaborators and direct care staff. An electronic method of recording study-related data also is essential.

Conclusions

A nursing clinical trial that requires interventions on a 24/7 basis can be done with thorough planning, staffing, and continuous quality improvement activities.

SUBMITTER: Sole ML

PROVIDER: S-EPMC6050978 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Publications

Collecting Nursing Research Data 24 Hours a Day: Challenges, Lessons, and Recommendations.

Sole Mary Lou ML Talbert Steven S Bennett Melody M Middleton Aurea A Deaton Lara L Penoyer Daleen D

American journal of critical care : an official publication, American Association of Critical-Care Nurses 20180701 4

<h4>Background</h4>Research on many routine nursing interventions requires data collection around the clock each day (24/7). Strategies for implementing and coordinating a study 24/7 are not discussed in the literature, and best practices are needed.<h4>Objective</h4>To identify strategies incorporated into implementing a nursing intervention trial 24/7, including key lessons learned.<h4>Methods</h4>Strategies to facilitate implementation of a clinical trial of a nursing intervention with patien ...[more]

PMID: 29961666

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Project description:BackgroundThe cost of implementation is typically not accounted for in published economic evaluations, which determine the relative value for money of health innovations and are important for allocating scarce resources. Despite key papers outlining relevant implementation costs, they continue to be under reported in the literature and often not considered in practice. This study sought to understand and outline current practices for capturing the costs associated with implementation efforts, with examples from the digital health setting.MethodsA qualitative study of semi-structured interviews with purposefully sampled experts in implementation science, health economics and/or digital health was conducted. The interview guide was informed by a literature review and was pilot tested. Interviews were digitally recorded and transcribed. A hybrid inductive/deductive framework analysis was conducted using thematic analysis to elicit key concepts related to the research question.ResultsInterviews were conducted with sixteen participants with specialist expertise in implementation science (n = 8), health economics (n = 6), and/or digital health (n = 8). Five participants were experienced in more than one field. Four key themes were elicited from the data: difficulty identifying and collecting implementation cost data; variation in approaches for collecting implementation cost data; the value of implementation costs; and collaboration enables implementation costing. Broadly, while interviewees recognised implementation costs as important, only some costs were considered in practice likely due to the perceived ill-defined boundaries and inconsistencies in terminology. A variety of methods were used to collect and estimate implementation costs; the most frequent approach was staff time tracking. Multidisciplinary collaboration facilitated this process, but the burden of collecting the necessary data was also highlighted.ConclusionsIn current practice, standardised methods are not commonly used for data collection or estimation of implementation costs. Improved data collection through standardised practices may support greater transparency and confidence in implementation cost estimates. Although participants had industry exposure, most were also academic researchers and findings may not be representative of non-academic industry settings.

Dataset Information

Collecting Nursing Research Data 24 Hours a Day: Challenges, Lessons, and Recommendations.

Background

Objective

Methods

Results

Conclusions

Publications

Collecting Nursing Research Data 24 Hours a Day: Challenges, Lessons, and Recommendations.

Similar Datasets

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