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Understanding nurses' perception of service climate in a resource-constrained environment undergoing continuous change is important as patients seek patient-centered health services. Unfortunately, organizational change approaches influencing service climate have yet to be explored. The study's objectives included: (1) assessing nurses' perceptions of service climate (orientation, feedback, and managerial practices) and their strategic change mindsets (Theories E, O, and EO) in a post-restructuring environment; and (2) determining the best model of fit, based on organizational dimensions of change and strategic change mindsets, for service climate. A cross-sectional survey collected responses from nurse members of a professional association. Linear regression analysis was used to obtain the service climate models. The findings revealed nurses' perception of service climate was positive, except for managerial practices. The predominant mindset was Theory EO (balance between Theory E – economic value and Theory O – organizational capabilities). Capacity to change and learn, managerial practices and behaviour, and position level positively predicted service climate; the best model of fit was for nurses who adopted a Theory EO mindset. In conclusion, to enhance nurses' perception of service climate, leaders/managers need to provide recognition and rewards for high-quality service and use a Theory EO approach (balance financial performance with internal capabilities). [ABSTRACT FROM AUTHOR]

The study was aimed at determining patients' satisfaction level with physiotherapy in the management of chronic mechanical neck pain (CMNP) in physiotherapy departments of the 3 public hospitals in Ibadan, Nigeria. A mixed-method design that involved 51 and five both purposively selected participants for the cross-sectional survey (CSS) and qualitative study, respectively. For the CSS, data was collected using the MedRisk instrument and analyzed using the Chi-square test at p ≤.05. For the qualitative study, patients' satisfaction was explored through a focus group discussion (FGD) and analyzed using thematic analysis. For CSS, 49.0% and 7.8% of the participants reported excellent and fair satisfaction, respectively, with physiotherapy in the management of CMNP. There was no significant association of patients' satisfaction level with: age (p =.588); sex (p =.851); and marital status (p =.409). For the FGD, three themes (patients' experience with physiotherapists; patient satisfaction with physiotherapy services; patient satisfaction with other health care services) that emerged further explained that participants were satisfied with physiotherapy management of their CMNP. However, they were not satisfied with the attitude of the record officers, constancy of the same treating physiotherapists, and unavailability of resources. Patients with CMNP are satisfied with the physiotherapy care they received. [ABSTRACT FROM AUTHOR]

This qualitative study explored potential factors that lead to turnover and absenteeism and how to improve well-being and retention among professional older-adult-caregivers in Alberta's assisted living (AL) and long-term care (LTC) facilities. Four hundred and forty-seven participants aged 45–54 years were interviewed through a five-item, content-validated open-ended questionnaire. The questionnaire was self-administered in the English language and the soft copy of their responses was transferred into NVIVO version 12 software for coding. A thematic narrative analysis grounded in the "happy productive worker" theory was completed. The main themes were caregivers' perception of the factors affecting their well-being, absenteeism, and turnover, and caregivers' suggestions on ways to improve their well-being and retention. Participants reported that their professional well-being was suboptimal. They suggested that their employers should provide them with the needed social, psychological, and professional support, improve wages and hire more staff to ameliorate absenteeism and turnover rates. [ABSTRACT FROM AUTHOR]

A simple, robust test for the autocorrelation parameter in an intervention time-series model (AB design) is proposed. It is analogous to the traditional tests and can easily be computed by using the freeware R. In the same way as traditional tests of autocorrelation are based on least squares (LS) fits of a linear model, our robust test is based on the highly efficient Wilcoxon fit of the linear model. We present the results of a Monte Carlo study which show that our robust test inherits the good efficiency properties of this Wilcoxon fit. Its empirical power is only slightly less than the empirical power of the least squares test over situations with normally distributed errors while it exhibited much more power over situations with error distributions having tails heavier than those of a normal distribution. It also showed robustness of validity over all null situations simulated. We also present the results of the application of our test to a real data set which illustrates the robustness of our test. [ABSTRACT FROM AUTHOR]