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Research Electronic Data Capture (REDCap) in an outpatient oncology surgery setting to securely email, collect, and manage survey data

Abstract

Background

Nursing interventions in the post-operative time period including psychological and emotional support, adverse event education, and instructions for follow-up care contribute patient satisfaction, safety, and quality of life. However, the time spent in the post-anesthesia care unit (PACU) and hospital continues to shorten around the world to reduce health care spending and improve patient outcomes. Nurses conducting research during the important post-operative recovery period need to utilize unique techniques and emerging technologies to contact, recruit and collect data outside of the hospital setting including the Research Electronic Data Capture (REDCap) platform.

Aims

This paper describes the feasibility and acceptability, facilitators and barriers of the software application, REDCap, to complete a repeated-measures, descriptive correlational study in patients undergoing outpatient breast cancer surgeries.

Methods & Materials

The recruitment, data collection and storage were completed utilizing the secure REDCap Platform. The Institutional Research Board (IRB)-approved study was a repeated-measures, descriptive, correlational study with data collection at three time points. The data points aligned with important transitions and routine visits to improve data collection feasibility and increase relevance to clinical practice.

Results

The sample consisted of women diagnosed with breast cancer undergoing breast conserving surgery between August 15 and October 15, 2020. There were 123 potential participants, of which 76 started the surveys and 75 participated (61%) responded and participated in the study on Post-operative Day 1. Fifty-nine participants (78%) completed the surveys on post-operative Day 14.

Discussion

As the frequency of outpatient treatment increases, nurses conducting post-operative research will need to collect the data outside of the hospital setting.

Conclusion

Email provides a method of studying new phenomena by recruiting participants, providing information about the study, and collecting results in a non-traditional setting. REDCap provides a method to facilitate nursing research through a securely encrypted integrated process.

Study protocol for a longitudinal observational study of disparities in sleep and cognition in older adults: the DISCO study

Por: Knutson · K. L. · Pershing · M. L. · Abbott · S. · Alexandria · S. J. · Chiluka · S. · Chirinos · D. · Giachello · A. · Gupta · N. · Harrington · K. · Rittner · S. S. · Sorond · F. · Wong · M. · Vu · T.-H. T. · Zee · P. C. · Carnethon · M. R.
Introduction

Cognitive dysfunction, a leading cause of mortality and morbidity in the USA and globally, has been shown to disproportionately affect the socioeconomically disadvantaged and those who identify as black or Hispanic/Latinx. Poor sleep is strongly associated with the development of vascular and metabolic diseases, which correlate with cognitive dysfunction. Therefore, sleep may contribute to observed disparities in cognitive disorders. The Epidemiologic Study of Disparities in Sleep and Cognition in Older Adults (DISCO) is a longitudinal, observational cohort study that focuses on gathering data to better understand racial/ethnic sleep disparities and illuminate the relationship among sleep, race and ethnicity and changes in cognitive function. This investigation may help inform targeted interventions to minimise disparities in cognitive health among ageing adults.

Methods and analysis

The DISCO study will examine up to 495 individuals aged 55 and older at two time points over 24 months. An equal number of black, white and Hispanic/Latinx individuals will be recruited using methods aimed for adults traditionally under-represented in research. Study procedures at each time point will include cognitive tests, gait speed measurement, wrist actigraphy, a type 2 home polysomnography and a clinical examination. Participants will also complete self-identified assessments and questionnaires on cognitive ability, sleep, medication use, quality of life, sociodemographic characteristics, diet, substance use, and psychological and social health.

Ethics and dissemination

This study was approved by the Northwestern University Feinberg School of Medicine Institutional Review Board. Deidentified datasets will be shared via the BioLINCC repository following the completion of the project. Biospecimen samples from the study that are not being analysed can be made available to qualified investigators on review and approval by study investigators. Requests that do not lead to participant burden or that conflict with the primary aims of the study will be reviewed by the study investigators.

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