Healthcare Professionals' Views on Parental Participation in the Neonatal Intensive Care Units.

PURPOSE: To examine the associations between age, gender, and profession in relation to the perceived importance of parental participation in Neonatal Intensive Care Units. DESIGN AND METHODS: A quantitative cross-sectional design was used. Participants were recruited consecutively from all 40 existing NICU units in Sweden. A total of 443 healthcare professionals (372 nurses and 71 physicians) participated in the study. Participants completed the Swedish version of the Empowerment of Parents in the Intensive Care-Neonatology (EMPATHIC-N) questionnaire. Data were analyzed using multiple regression analyses. RESULTS: The findings indicated that profession and age, but not gender, had an overall perceived importance on how nurses and physicians rated specific aspects of parental participation in NICUs. CONCLUSIONS: Being a nurse, compared to a physician, was associated with an increase in overall perceived importance of parental participation in NICUs. These differences may affect and may be crucial for how parents take a part in the care of their infant and also for how they adapt to the parental role. PRACTICE IMPLICATIONS: Nurses and physicians require education and training that support parental participation based on age and their different roles, rather than simply conveying information about the technical medical aspects of NICU care. For a sustainable outcome all team members should be invited to discuss cases from their perspectives.

Using axillary temperature to approximate rectal temperature in newborns.

AIM: Various factors have been shown to potentially affect the difference between axillary and rectal temperature measurements in newborns. We aimed to explore their roles and, if possible, to construct a formula that explained the difference. METHODS: The study was based on a consecutive sample of 175 infants, with a gestational age of 24-42 weeks, whose rectal and axillary temperatures were measured simultaneously at the neonatal unit at Skaraborg Hospital in Sweden. Data were analysed using multiple regressions. RESULTS: Premature infants had a significantly smaller mean difference (0.33°C) between rectal and axillary temperatures than full-term infants (0.43°C). Significant associated factors for premature infants were chronological age (p = 0.025), time of day (p = 0.004) and axillary temperature (p < 0.001). For full-term infants, the only significant associated factor was axillary temperature (p = 0.015). CONCLUSION: Although it is possible to construct a formula that estimates neonate rectal temperature based on axillary temperature with a slightly higher reliability than simply adding a fixed value like 0.4°C, such a formula would be too complex to apply in practice. Adding 0.3°C or 0.4°C to the measured axillary temperature for premature infants or full-term infants, respectively, yields acceptable approximations in most cases.

Neonatal intensive care practices: perceptions of parents, professionals, and managers.

PURPOSE: This article explores the differences and similarities in opinions of neonatal intensive care issues between parents, neonatal intensive care unit (NICU) healthcare professionals (nurses and physicians), and managers (neonatal unit managers and pediatric division managers). METHOD: An exploratory survey (n = 624) was conducted in Sweden during 2012-2013 on the basis of a validated questionnaire composed of 92 neonatal care-related Likert items. A total of 141 parents, 443 professionals, and 40 managers completed the survey. The parents were recruited consecutively from 5 NICUs of the Västra Götaland region in Sweden and the professionals and managers from all 40 NICUs in Sweden. Data were analyzed with analysis of variances, and post hoc analyses were conducted through pairwise t tests with Bonferroni corrections. RESULT: Professionals and managers differed significantly on 1 item. Parents, however, found 54 items significantly less important than professionals did, but found only 4 to be significantly more important than professionals did. CONCLUSIONS: In line with previous research, we found that a gap exists between views of neonatal intensive care practices, with parents on one side and professionals and managers on the other. The nature of this gap, however, differs substantially from previous research, where parents found many items to be more important than professionals did. To develop and improve neonatal intensive care, this gap must be acknowledged and addressed, both in research and in practice. NICU managers need to develop strategies and routines that allow professionals to understand and adjust to the specific priorities of individual parents and families.

Staff pooling in healthcare systems - results from a mixed-methods study.

This study examines how staff pooling can be used to create a higher service level at a predetermined total capacity in the healthcare sector. We develop new empirical knowledge through a systematic empirical study, using a mixed-methods approach, with a preliminary interview study followed by a principal quantitative survey study, with data from a multihospital system. The purpose was to explore practical barriers for a staff pooling strategy in healthcare systems. Three barriers were identified:recruitment difficulties, community view, and specialisation. Significant differences in perceived height among these barriers were found. The results from this study have important managerial implications for healthcare systems when implementing a staff pooling approach. This study contributes to the existing literature since, to the best of our knowledge, no previous research has been done where barriers to staff pools are systematically identified using a holistic approach that includes all healthcare professions in a multihospital system.

The large sample size fallacy.

BACKGROUND: Significance in the statistical sense has little to do with significance in the common practical sense. Statistical significance is a necessary but not a sufficient condition for practical significance. Hence, results that are extremely statistically significant may be highly nonsignificant in practice. The degree of practical significance is generally determined by the size of the observed effect, not the p-value. The results of studies based on large samples are often characterized by extreme statistical significance despite small or even trivial effect sizes. Interpreting such results as significant in practice without further analysis is referred to as the large sample size fallacy in this article. AIM: The aim of this article is to explore the relevance of the large sample size fallacy in contemporary nursing research. RESULTS: Relatively few nursing articles display explicit measures of observed effect sizes or include a qualitative discussion of observed effect sizes. Statistical significance is often treated as an end in itself. CONCLUSION: Effect sizes should generally be calculated and presented along with p-values for statistically significant results, and observed effect sizes should be discussed qualitatively through direct and explicit comparisons with the effects in related literature.

Parental interaction with infants treated with medical technology.

BACKGROUND: It is well established that parents must interact with their new-born babies to facilitate attachment. However, very little is known about how parents perceive different types of medical technology products commonly used in the neonatal intensive care unit (NICU) as barriers to their wish to interact with their infants. AIM: This study aims to examine to what extent the different medical technology products commonly used in the NICU are perceived by parents to be obstacles in their wish to interact with their babies. DESIGN AND METHODS: In 2010, a cross-sectional survey, using a questionnaire specifically developed for this study, was conducted among the parents of children who were discharged from any of the five NICUs of the Västra Götaland region in Sweden. A consecutive sample of 248 parents participated, and multiple regressions and t-tests were used to analyse the data. RESULTS: The parents generally perceived the various medical technology products differently, according to the perceived level of obstruction. The variables of gender, age, educational level, origin, gestational age, previous experience of being a parent, and the offer of accommodation at the NICU were significantly associated with the perceived level of obstruction in the parents' wish to interact with their baby while the baby was being treated with different medical technology products. CONCLUSION: The primary implication for practice is that to facilitate attachment, nurses should involve different categories of parents in different ways in the care of their children, depending on the equipment being used in the treatment of the children. Thus, the individual care plan should explicitly include the details of the specific medical equipment, because although its use is medically beneficial for the child, it is associated with potential liabilities regarding parent-child interaction and, consequently, regarding parent-child attachment.

Hospital Staffing during the COVID-19 Pandemic in Sweden.

Staff management challenges in the healthcare system are inherently different during pandemic conditions than under normal circumstances. Surge capacity must be rapidly increased, particularly in the intensive care units (ICU), to handle the increased pressure, without depleting the rest of the system. In addition, sickness or fatigue among the staff can become a critical issue. This study explores the lessons learned by first- and second-line managers in Sweden with regard to staff management during the COVID-19 pandemic. A mixed-methods approach was used, with preliminary qualitative interview (n = 38) and principal quantitative questionnaire (n = 272) studies, based on principal component and multiple regression analyses. The results revealed that the pandemic created four types of challenges relating to staff management: staff movement within hospitals; addition of external staff; addition of hours for existing staff through overtime and new shift schedules; and avoidance of lost hours due to sickness or fatigue. Furthermore, the effects of these managerial challenges were different in the first wave than in later waves, and they significantly differed between the ICU and other units. Therefore, a greater proactive focus on staff management would be beneficial in future pandemic situations.

Application of Portfolio Theory to Healthcare Capacity Management.

Healthcare systems worldwide are faced with continuously increasing demand for care, while simultaneously experiencing insufficient capacity and unacceptably long patient waiting times. To improve healthcare access and availability, it is thus necessary to improve capacity utilization and increase the efficiency of existing resource usage. For this, variations in healthcare systems must be managed judiciously, and one solution is to apply a capacity pooling approach. A capacity pool is a general, collaborative capacity that can be allocated to parts of the system where the existing workload and demand for capacity are unusually high. In this study, we investigate how basic mean-variance methodology from portfolio theory can be applied as a capacity pooling approach to healthcare systems. A numerical example based on fictitious data is used to illustrate the theoretical value of using a portfolio approach in a capacity pooling context. The example shows that there are opportunities to use capacity more efficiently and increase service levels, given the same capacity, and that a mean-variance analysis could be performed to theoretically dimension the most efficient pooling organization. The study concludes with a discussion regarding the practical usefulness of this methodology in the healthcare context.

Creating Short-Term Volume Flexibility in Healthcare Capacity Management.

It is well-known that unpredictable variations in supply and demand of capacity in healthcare systems create the need for flexibility. The main tools used to create short-term volume flexibility in the healthcare system include overtime, temporary staff from internal calling lists, moving staff across units, internal staffing pools, external staffing agencies, queuing patients, and purchasing care from external providers. We study the creation of short-term volume flexibility in healthcare systems to manage short-term capacity losses and demand fluctuations. A questionnaire was developed and distributed among healthcare managers in the Region Västra Götaland healthcare system. Respondents were asked to what extent they used each tool to create short-term flexibility in capacity. Data were analyzed using multiple regression analysis. Several significant tendencies were found, including that acute units use overtime and internal staffing pools to a larger extent, and queuing patients and external providers to a lesser extent than planned units. The prerequisites and required managerial approaches used to efficiently manage aggregate capacity in the system differ substantially between different parts of the system. These differences must be addressed when, for example, capacity pools are considered. These results serve as a stepping stone towards a more thorough understanding of efficient capacity management in healthcare systems.

Measuring effective capacity in an emergency department.

PURPOSE: The purpose of this paper is to show how elements from queueing theory can be used to obtain objective measures of effective capacity in the triage function at Skaraborg Hospital in Sweden without direct observation of the function itself. DESIGN/METHODOLOGY/APPROACH: Approximately 30,000 patients arrived to the emergency department at Skaraborg Hospital in Sweden during 2011. The exact time of arrival and the exact time of triage were recorded for each patient on an individual level. Basic queueing theory uses arrival rates and system capacity measures to derive average queueing times. The authors use the theoretical relation between these three measures to derive system capacity measures based on observed arrival rates and observed average queueing times. FINDINGS: The effective capacity in the triage process is not a linear function of the number of nurses. However, the management of capacity seems well adapted to the actual demand, even though service levels vary substantially during the day and night. ORIGINALITY/VALUE: This paper uses elements from queueing theory in an innovative way to measure the effective capacity of a service process without direct observation, thereby also avoiding the potential risk of the Hawthorne effect.

The impact of sample non-normality on ANOVA and alternative methods.

In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use to choose an appropriate method for comparing locations when the assumption of normality is doubtful. The conceptual problem with this approach is that such a two-stage process makes both the power and the significance of the entire procedure uncertain, as type I and type II errors are possible at both stages. A type I error at the first stage, for example, will obviously increase the probability of a type II error at the second stage. Based on the idea of Schmider et al. (2010), which proposes that simulated sets of sample data be ranked with respect to their degree of normality, this paper investigates the relationship between population non-normality and sample non-normality with respect to the performance of the ANOVA, Brown-Forsythe test, Welch test, and Kruskal-Wallis test when used with different distributions, sample sizes, and effect sizes. The overall conclusion is that the Kruskal-Wallis test is considerably less sensitive to the degree of sample normality when populations are distinctly non-normal and should therefore be the primary tool used to compare locations when it is known that populations are not at least approximately normal.