Moving nursing beyond p &lt; .05

Hayat, Matthew J.; Staggs, Vincent S.; Schwartz, Todd A.; Higgins, Melinda; Azuero, Andres; Budhathoki, Chakra; Chandrasekhar, Rameela; Cook, Paul F.; Cramer, Emily; Dietrich, Mary S.; Garnier‐Villarreal, Mauricio; Hanlon, Alexandra L.; He, Jia; Hu, Jinxiang; Kim, Myoung Jin; Mueller, Martina; Nolan, Joseph R.; Perkhounkova, Yelena; Rothers, Janet; Schluck, Glenna; Su, Xiaogang; Templin, Thomas; Weaver, Michael T.; Yang, Qing; Ye, Sangbeak

doi:10.1016/j.outlook.2019.06.010

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…Indeed, healthcare providers must recognize that women may present with many different combinations of ACS symptoms, as compared with men. 37 However, it is important to note the difference between statistical significance and clinical significance 38,39 in applying evidence to public health campaigns. We believe that, in general, a continued focus on symptom differences between men and women may be ill-advised, because a false dichotomy may be created.…”

Section: Discussionmentioning

confidence: 99%

The Lay Public's Knowledge of the Most Common Acute Coronary Syndrome Symptoms Experienced by Women and Men

2022

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Background: Although extensive research and public education for the last 2 decades has focused on symptom differences experienced by men and women, little is known about what acute coronary syndrome symptoms the lay public associates with men, with women, and with both men and women. Objective: The aim of this study was to describe what acute coronary syndrome symptoms the lay public associates with men, with women, and with both men and women and to explore whether differences in participant gender affect how these symptoms are associated. Methods: A descriptive, cross-sectional survey design was used, using an online survey. We recruited women (n = 209) and men (n = 208) living in the United States from the crowdsourcing platform Mechanical Turk in April and May 2021. Results: Most participants (78.4%) selected a chest symptom as the most common acute coronary syndrome symptom experienced by men, compared with only 49.4% who selected a chest symptom as the most common for women. Almost half (46.9%) of women indicated that they believe men and women have "fairly different" or "very different" acute coronary syndrome symptoms, compared with 17.3% of men. Conclusions: Whereas most participants associated symptoms with both men and women's experiences of acute coronary syndrome symptoms, some associated symptoms in ways that are not reflected in the literature. Additional research is needed to further understand the impact of messaging on acute coronary syndrome symptom differences between men and women and the lay public's interpretation of these messages.

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Section: Discussionmentioning

confidence: 99%

The Lay Public's Knowledge of the Most Common Acute Coronary Syndrome Symptoms Experienced by Women and Men

2022

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“…A variation of Cohen f 2 as described by Selya et al [ 62 ] was calculated using the web-based Soper effect size calculator for hierarchical multiple regression analysis [ 63 ], which provides a measure of the effect size of the addition of variables to the regression models [ 64 ]. Effect sizes are reported as per guidance by the American Statistical Association [ 65 ] and recommendations by various authors [ 65 - 67 ]. Cohen f 2 is a standardized measure of 1 variable’s local effect size in the context of a multivariate regression model (ie, the unique proportion of the variance accounted for by the variable of interest) [ 62 , 64 ].…”

Section: Methodsmentioning

confidence: 99%

Differing Effects of Implementation Leadership Characteristics on Nurses’ Use of mHealth Technologies in Clinical Practice: Cross-Sectional Survey Study

Ronquillo,

Dahinten,

Bungay

et al. 2023

JMIR Nursing

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Background Leadership has been consistently identified as an important factor in shaping the uptake and use of mobile health (mHealth) technologies in nursing; however, the nature and scope of leadership remain poorly delineated. This lack of detail about what leadership entails limits the practical actions that can be taken by leaders to optimize the implementation and use of mHealth technologies among nurses working clinically. Objective This study aimed to examine the effects of first-level leaders’ implementation leadership characteristics on nurses’ intention to use and actual use of mHealth technologies in practice while controlling for nurses’ individual characteristics and the voluntariness of use, perceived usefulness, and perceived ease of use of mHealth technologies. Methods A cross-sectional exploratory correlational survey study of registered nurses in Canada (n=288) was conducted between January 1, 2018, and June 30, 2018. Nurses were eligible to participate if they provided direct care in any setting and used employer-provided mHealth technologies in clinical practice. Hierarchical multiple regression analyses were conducted for the 2 outcome variables: intention to use and actual use. Results The implementation leadership characteristics of first-level leaders influenced nurses’ intention to use and actual use of mHealth technologies, with 2 moderating effects found. The final model for intention to use included the interaction term for implementation leadership characteristics and education, explaining 47% of the variance in nurses’ intention to use mHealth in clinical practice (F10,228=20.14; P<.001). An examination of interaction plots found that implementation leadership characteristics had a greater influence on the intention to use mHealth technologies among nurses with a registered nurse diploma or a bachelor of nursing degree than among nurses with a graduate degree or other advanced education. For actual use, implementation leadership characteristics had a significant influence on the actual use of mHealth over and above the control variables (nurses’ demographic characteristics, previous experience with mHealth, and voluntariness) and other known predictors (perceived usefulness and perceived ease of use) in the model without the implementation leadership × age interaction term (β=.22; P=.001) and in the final model that included the implementation leadership × age interaction term (β=−.53; P=.03). The final model explained 40% of the variance in nurses’ actual use of mHealth in their work (F10,228=15.18; P<.001). An examination of interaction plots found that, for older nurses, implementation leadership characteristics had less of an influence on their actual use of mHealth technologies. Conclusions Leaders responsible for the implementation of mHealth technologies need to assess and consider their implementation leadership behaviors because these play a role in influencing nurses’ use of mHealth technologies. The education level and age of nurses may be important factors to consider because different groups may require different approaches to optimize their use of mHealth technologies in clinical practice.

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“…Per Rothman (1990), no adjustment for multiple comparisons was made because all were defined a priori. p -Values are presented for all comparisons (Hayat et al, 2019; Wasserstein et al, 2019). Analyses were conducted using IBM SPSS Statistics version 25 (IBM Corp., Armonk, NY).…”

Section: Methodsmentioning

confidence: 99%

Nurse practitioners in home-based prepalliative care demonstrate an innovative, value-based approach to end-of-life care planning

Coppa

Winchester

Maestri³

et al. 2022

J Am Assoc Nurse Pract

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Background:Nurse practitioners (NPs) demonstrate value-based, home-based primary health care (HBPC) to home-bound patients with high disease burden at reduced cost.Purpose:The research questions were as follows: (a) Does patient-centered, prepalliative care delivered by HBPC NPs decrease number of hospitalizations and emergency department (ED) visits and increase patient satisfaction? and (b) What are the criteria for patients to receive end-of-life (EOL) discussions by NPs?Methodology:This was a quasi-experimental, retrospective two-group design with a convenience sample of 233 HBPC patients from an academic clinical partnership compared with 234 clinic patients matched on age and Charlson Comorbidity Index (CCI) score over 4 years. Measures included signed advanced directives (ADRs), medical orders of life-sustaining treatment (MOLST) forms, number and length of home visits, hospitalizations, and ED visits after diagnosis. Chi-square analyses and general linear models using a Poisson distribution were conducted.Results:Home-based primary health care patients had higher disease burden, statistically higher CCI scores, and signed ADR and MOLST agreements more often than clinic patients with significantly fewer hospitalizations and ED visits, and longer visits with providers.Conclusions:Patients receiving HBPC for prepalliative, EOL illness benefit from more time to discuss the difficult factors surrounding access to care for those with life-threatening illnesses.Implications:Recipients of prepalliative HBPC by NPs could require fewer provider visits, hospitalizations and ED visits, patient satisfaction, and a potential decrease in health care spending at EOL.

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Moving nursing beyond p < .05

Cited by 7 publications

References 5 publications

The Lay Public's Knowledge of the Most Common Acute Coronary Syndrome Symptoms Experienced by Women and Men

The Lay Public's Knowledge of the Most Common Acute Coronary Syndrome Symptoms Experienced by Women and Men

Differing Effects of Implementation Leadership Characteristics on Nurses’ Use of mHealth Technologies in Clinical Practice: Cross-Sectional Survey Study

Nurse practitioners in home-based prepalliative care demonstrate an innovative, value-based approach to end-of-life care planning

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