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The intent of the PICOT (i.e., Population, Intervention, Comparison, Outcome, Time) method is to formulate focused clinical questions to facilitate the discovery of relevant evidence through systematic searching, with the components of the question serving as the foundation for the search. Doctor of Nursing Practice (DNP) graduates use evidence-based practices to institute changes in their organizations' systems and policies, thereby yielding positive effects on both patient and system outcomes. Given that the clinical question is the foundation of the evidence-based practice process, DNP graduates' competence in the PICOT method needs to be better understood.
This analysis aimed to describe how DNP students used the PICOT method to ask clinical questions in their DNP projects.
Project questions were retrieved from a subset (n = 129, 60.56%) of an existing national random sample of publicly available DNP projects spanning the years 2010 to 2021 from Commission on Collegiate Nursing Education-accredited schools (n = 213). Project questions using the PICOT method were further evaluated with a scoring system of 0 = no and 1 = yes for missing elements, formatting, directional outcome, and project purpose. Possible scores ranged from 0 to 8, with higher scores indicating more errors. Discussion among five researchers, until agreement was achieved, yielded consensus.
Although the PICOT method was project author-identified in 66 (31.0%) projects, only four (6%) followed the PICOT method. All 66 (100%) were intervention questions. There were 2.74 (SD 1.55) mean errors, ranging from 0 to 6. No questions were missing P or O. Specific errors included missing I 3 (4.5%) or missing C 37 (56%), poor formatting 34 (51.5%), directional outcome 44 (66.7%), and project purpose 38 (57.6%). Thirty-three (50%) of the questions were missing T; however, T is not used for searching, so researchers recalculated the mean error without T (M = 2.24, SD = 1.28, range 0–5).
Gaps in the accurate use of the PICOT method to construct clinical questions can lead to biased searches, inaccurate clinical problem identification, and, when used as the project purpose, jumping to non-evidence-based solutions. Academic faculty and clinical educators can mitigate these skewed outcomes and enhance their impact on quality outcomes by helping DNP-prepared nurses shore up this foundational skill.
This study explored whether hospitals that allocate greater resources to their nursing staff provide better healthcare services than those that invest less in their nursing personnel.
Cross-sectional logistic and tobit analyses.
We examined a sample of 314 California hospitals in 2017. We obtained a hospital's public recognition for treating nurses fairly between 2015 and 2017 from Nurse.org, the largest online community of nurses. We derived a hospital's healthcare quality in 2018 from the 2019–2020 Best Hospitals rankings released by U.S. News, a well-known media company publishing independent healthcare assessments periodically.
Our results showed that a nurse-friendly workplace was a crucial determinant of its overall healthcare quality.
Healthcare administrators keen to enhance the quality of healthcare services should consider creating nurse-friendly workplaces. Furthermore, their evaluation of nurses' contributions to overall healthcare quality should not solely depend on the nurse-assessed quality of care, but rather comprise not only broad aspects of patient outcomes in primary care but also patient experiences, care-related factors and expert opinions.
Our study helped address the overwhelmed healthcare system, whose long-running shortage of nurses has been exacerbated by the COVID-19 pandemic. Our work suggested that a hospital's investment in a nurse-friendly workplace can enhance its acquisition, retention and devotion of the nursing staff. This, in turn, can have profound impacts on its overall healthcare quality.
Existing empirical evidence on the relation between nurse-friendly workplace and healthcare quality is limited and inconclusive.
We documented evidence that the quality of healthcare services provided by hospitals varies with their treatment of nursing staff.
Our results provided insights into key policies that have the potential to improve healthcare quality.
Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression are needed. We compare static risk prediction models to dynamic probabilistic models in early critical illness.
We developed models to simulate disease trajectories of critically ill COVID-19 patients across different disease states. Eighty per cent of cases were randomly assigned to a training and 20% of the cases were used as a validation cohort. Conventional risk prediction models were developed to analyse different disease states for critically ill patients for the first 7 days of intensive care unit (ICU) stay. Daily disease state transitions were modelled using a series of multivariable, multinomial logistic regression models. A probabilistic dynamic systems modelling approach was used to predict disease trajectory over the first 7 days of an ICU admission. Forecast accuracy was assessed and simulated patient clinical trajectories were developed through our algorithm.
We retrospectively studied patients admitted to a Cleveland Clinic Healthcare System in Ohio, for the treatment of COVID-19 from March 2020 to December 2022.
5241 patients were included in the analysis. For ICU days 2–7, the static (conventional) modelling approach, the accuracy of the models steadily decreased as a function of time, with area under the curve (AUC) for each health state below 0.8. But the dynamic forecasting approach improved its ability to predict as a function of time. AUC for the dynamic forecasting approach were all above 0.90 for ICU days 4–7 for all states.
We demonstrated that modelling critical care outcomes as a dynamic system improved the forecasting accuracy of the disease state. Our model accurately identified different disease conditions and trajectories, with a
The aims of the study were to describe the processes used to introduce advanced practice nursing roles and factors that facilitated or hindered role implementation, examine the time advanced practice nurses (APNs) spend in role activities and how these activities relate to domains of advanced practice nursing and examine how implementation processes influenced APN integration within healthcare teams.
A multiple case study was conducted.
Five cases were included, representing the four population areas approved for advanced practice nursing in France. Data were collected from January to March 2021 using observation, interview and document analysis methods. Data were examined using thematic analysis.
Participants included APNs (n = 5), nurses/allied health providers (n = 5), physicians (n = 5), managers (n = 4) and decision-makers (n = 4). Stakeholder engagement and leadership provided by decision-makers, managers, physicians and APNs facilitated role implementation. Poor stakeholder role understanding, uncertain role funding, and the COVID-19 pandemic hindered role implementation. APNs spent the most time in clinical activities. Participants perceived the integration of APNs within the healthcare team and their impact on patient care to be positive.
Stakeholder engagement and organizational and APN leadership facilitated the implementation of the roles, especially related to team-based patient care. Further efforts are needed to strengthen APN involvement in non-clinical activities and address role barriers.
Systematic and system-wide approaches are needed to improve role clarity, role autonomy and health systems integration of APNs. Research should examine patient perspectives about APNs in France.
The results highlight how policies can create favourable conditions for advanced practice nursing role implementation in France. Internationally, this study serves as a reminder to APNs and nurse leaders about the strategies for and importance of implementation evaluation to support the optimal development of advanced practice nursing roles.
The study reporting followed the Consolidated Criteria for Reporting Qualitative Research.
No Patient or Public Contribution.
by Rebecca H. Correia, Darly Dash, Aaron Jones, Meredith Vanstone, Komal Aryal, Henry Yu-Hin Siu, Aquila Gopaul, Andrew P. Costa
We established consensus on practice-based metrics that characterize quality of care for older primary care patients and can be examined using secondary health administrative data. We conducted a two-round RAND/UCLA Appropriateness Method (RAM) study and recruited 10 Canadian clinicians and researchers with expertise relevant to the primary care of elderly patients. Informed by a literature review, the first RAM round evaluated the appropriateness and importance of candidate quality measures in an online questionnaire. Technical definitions were developed for each endorsed indicator to specify how the indicator could be operationalized using health administrative data. In a virtual synchronous meeting, the expert panel offered feedback on the technical specifications for the endorsed indicators. Panelists then completed a second (final) questionnaire to rate each indicator and corresponding technical definition on the same criteria (appropriateness and importance). We used statistical integration to combine technical expert panelists’ judgements and content analysis of open-ended survey responses. Our literature search and internal screening resulted in 61 practice-based quality indicators for rating. We developed technical definitions for indicators endorsed in the first questionnaire (n = 55). Following the virtual synchronous meeting and second questionnaire, we achieved consensus on 12 practice-based quality measures across four Priority Topics in Care of the Elderly. The endorsed indicators provide a framework to characterize practice- and population-level encounters of family physicians delivering care to older patients and will offer insights into the outcomes of their care provision. This study presented a case of soliciting expert feedback to develop measurable practice-based quality indicators that can be examined using administrative data to understand quality of care within population-based data holdings. Future work will refine and operationalize the technical definitions established through this process to examine primary care provision for older adults in a particular context (Ontario, Canada).Sarcopenia is characterised by age-related loss of skeletal muscle and function and is associated with risks of adverse outcomes. The prevalence of sarcopenia increases due to ageing population and effective interventions is in need. Previous studies showed that β-hydroxy β-methylbutyrate (HMB) supplement and vibration treatment (VT) enhanced muscle quality, while the coapplication of the two interventions had further improved muscle mass and function in sarcopenic mice model. This study aims to investigate the efficacy of this combination treatment in combating sarcopenia in older people. The findings of this study will demonstrate the effect of combination treatment as an alternative for managing sarcopenia.
In this single-blinded randomised controlled trial, subjects will be screened based on the Asian Working Group for Sarcopenia (AWGS) 2019 definition. 200 subjects who are aged 65 or above and identified sarcopenic according to the AWGS algorithm will be recruited. They will be randomised to one of the following four groups: (1) Control+ONS; (2) HMB+ONS; (3) VT+ONS and (4) HMB+VT + ONS, where ONS stands for oral nutritional supplement. ONS will be taken in the form of protein formular once/day; HMB supplements will be 3 g/day; VT (35 Hz, 0.3 g, where g=gravitational acceleration) will be received for 20 mins/day and at least 3 days/week. The primary outcome assessments are muscle strength and function. Subjects will be assessed at baseline, 3-month and 6-month post treatment.
This study was approved by Joint CUHK-NTEC (The Chinese University of Hong Kong and New Territories East Cluster) Clinical Research Management Office (Ref: CRE-2022.223-T) and conformed to the Declaration of Helsinki. Trial results will be published in peer-reviewed journals and disseminated at academic conferences.
by Loveth Dumebi Nwanze, Alaa Siuliman, Nuha Ibrahim
BackgroundInfant mortality persists as a global public health concern, particularly in lower-middle-income countries (LIMCs) such as Nigeria. The risk of an infant dying before one year of age is estimated to be six times higher in Africa than in Europe. Nigeria recorded an infant mortality rate of 72.2 deaths per 1,000 live births in 2020, in contrast to the global estimate of 27.4 per 1,000 live births. Several studies have been undertaken to determine the factors influencing infant mortality.
ObjectiveThis scoping review sought to identify and summarise the breadth of evidence available on factors associated with infant mortality in Nigeria.
MethodsThis review followed the five-stage principles of Arksey and O’Malley’s framework. Four electronic databases were searched with no limit to publication date or study type: Ovid MEDLINE, PubMed, CINAHL Complete, and Web of Science. Selected studies were imported into Endnote software and then exported to Rayyan software where duplicates were removed. Included articles were thematically analysed and synthesised using the socioecological model.
ResultsA total of 8,139 references were compiled and screened. Forty-eight articles were included in the final review. At the individual level, maternal- and child-related factors were revealed to influence infant mortality; socioeconomic and sociocultural factors at the interpersonal level; provision and utilisation of health services, health workforce, hospital resources and access to health services at the organisational level; housing/neighbourhood and environmental factors at the community level; and lastly, governmental factors were found to affect infant mortality at the public policy level.
ConclusionFactors related to the individual, interpersonal, organisational, community and public policy levels were associated with infant mortality in Nigeria.
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