Social assimilation and immigrants’ labour market outcomes

We analyse how immigrants’ level of social assimilation is related to their labour market outcomes. More precisely, we estimate the association between assimilation and employment, wages, underemployment, three measures of job satisfaction, overeducation and wages. Using Australian longitudinal data, we find that assimilation is strongly associated with employment and wages as well as a number of job satisfaction measures. We then split our data and repeat the analysis for before and after the financial crisis of 2008–2009. We find important differences in the way assimilation is associated with different measures of labour market outcomes under different economic conditions. Finally, we explore mechanisms that may underlie the results.

Meaningful work, work and life satisfaction: Spanish adaptation of Work and Meaning Inventory Scale

Meaningful work is the subjective experience that work has meaning and is understood as an avenue for personal development, from a eudaimonic point of view. The aim of this study is to adapt the WAMI scale of meaningful work to Spanish, as well as to explore its relationship with job and life satisfaction. Two independent studies were developed. A first study analyzed the consistency of the original factorial model using a sample of Spanish varied workers (N = 350) through a confirmatory factor analysis. Results show an adequate replication of the original model and the validity of the Spanish version. A second study addressed the predictive capacity of the scale in relation to two satisfaction measures in a sample of Spanish health workers (N=312), through a mediation analysis. The relationship between meaningful work and job satisfaction is mediated by life satisfaction. The idea of meaningful work as a eudaimonic construct discards it as a variable resulting from or consequence of work, as it is an inherent part of occupational activity itself.

Nursing Home Satisfaction Surveys: Differences by Race, Age, and Gender

Nursing home satisfaction information has gained substantial traction as a quality indicator representing the consumers perspective. However, very little research has examined differences in satisfaction related to race, age and gender. As a quality metric, satisfaction measures are variously used for quality improvement, benchmarking, public reporting, and for adjustment to payments. As such, valid comparisons among facilities are important. To our knowledge, no adjustment to satisfaction scores are currently used for nursing homes. However, in many other settings this is a common practice. In this research, nursing home resident, family, and discharge satisfaction scores were examined from >4,000 participants. The data were collected in 2020 and come from 420 facilities. Satisfaction information came from the CoreQ surveys, which include 23 individual questions four of which can be combined to produce an overall satisfaction score. These CoreQ nursing home surveys are endorsed by NQF. Generally lower overall satisfaction scores were found for family members compared to current residents or discharged residents. Minorities (Black, Asian, Hispanic) had lower overall satisfaction scores compared to whites; however, the differences were not significant at conventional levels. Participants of the lowest age (<65 years) were significantly (p=<.05) less satisfied than older participants (>75 years) and males were significantly (p=<.05) less satisfied than females. The findings indicate that some case-mix adjustment may be applicable for nursing home satisfaction scores.

Optimizing Post-Cesarean Opioid Prescription Practices at Mayo Clinic: A Quality Improvement Initiative

Objective Optimal prescriptions practices of opioids in the post-cesarean period remain controversial. The primary aim of this initiative was to minimize unused prescription narcotic medication, with a goal of ≤4 leftover pills of 5-mg oxycodone at postoperative day (POD) 14 without affecting pain or satisfaction measures. Study Design This was a prospective longitudinal quality improvement (QI) initiative starting in 2017 utilizing the DMAIC methodology. The measurement phase consisted of validated surveys over 3 months, along with chart review to determine current institutional prescription practices and predictors of outpatient opioid use. Resulting recommendations were adopted, and 1 year later, all patients undergoing cesarean were surveyed for 3 months to determine the effectiveness of the intervention. The study was approved by the Department's QI Committee. Results The response rate was 48%, with 50 of 101 patients completing surveys pre-intervention and 52 of 111 post-intervention. Pre-intervention, surplus medication was predicted (p <0.05) only by the quantity of the opioid prescription. In addition, patients who required ≤37.5 morphine milligram equivalents (MMEs) during the inpatient postoperative stay did not require outpatient narcotic prescriptions. Thereafter, a strategy of matching inpatient use to outpatient prescription 1:1 in a linear regression model (p <0.001, R 2 0.55) optimally matched patient needs up to 200 MME. In the post-intervention survey, mean (SD) prescription decreased from 17.6 (13.7) MME to 8.4 (8.3) MME (p <0.01); 39% compared with 16% of women were discharged without a prescription (p <0.01); and amongst all patients 82.7% compared with 59.6% (p <0.01) had ≤4 pills remaining without differences in patient satisfaction or pain perception. Conclusion This initiative highlights a practical approach to QI utilizing industry techniques in health care. This approach resulted in significant reductions in over-prescription and unused medication, without impacting pain or satisfaction scores. Key Points

What Happened to the Immigrant Life Satisfaction Gap?

Numerous studies have found that immigrants to Canada are less satisfied with life than comparable Canadian-born individuals. Yet recent data from the Canadian Community Health Survey (CCHS) suggest that this immigrant satisfaction gap may be disappearing. This article traces the evolution of the immigrant–Canadian born life satisfaction gap from 2009 to 2018 and explores two competing explanations for the declining gap: improved immigrant outcomes and changes to the CCHS design introduced in 2015–2016. The article finds little evidence for the improved outcomes explanation. Indeed, the immigrant satisfaction gap is somewhat illusory—the more substantial gap is between the life satisfaction of White individuals and that of members of certain racialized groups, regardless of immigration status. The 2015–2016 CCHS redesign, however, may be a plausible explanation for the increase in reported life satisfaction. This article provides more evidence that researchers using life satisfaction measures need to be cautious when survey designs change.

Exploring the Relationship between Window View Quantity, Quality, and Ratings of Care in the Hospital

Hospital ratings reflect patient satisfaction, consumer perception of care, and create the context for quality improvement in healthcare settings. Despite an abundance of studies on the health benefits of the presence and content of window views, there is a gap in research examining how these features may impact patient satisfaction and consumer perceptions of the quality of care received. A quantitative exploratory study collected data from 652 participants regarding their previous stay in the hospital, their perception of windows in their room, and their perception of their room, the hospital, and the quality of care received. On a scale of 0–10, participants with access to windows gave a 1-unit higher rating for the hospital. Access to window views from their bed provided a 1-unit increase, and having a view to green spaces resulted in a 2-unit increase in hospital ratings. Statistically significant results were also found for room ratings and care ratings. Windows in the patient rooms impact the key patient satisfaction measures and patient experience during the hospital stay. Patient room design, bed set up, and quantity and quality of window views may play an important role in shaping the patient’s experience.

Pre- and Early-Pandemic Graduating Students’ Perceptions at a United States Business School

Two separate samples of graduating business students completed online surveys in the Spring 2019 (pre-pandemic, n = 724) and Spring 2020 (early pandemic, n = 376). This research study explored changes in student grading assessment learning perceptions (GALP) between Spring of 2019 to Spring of 2020, as well as perceptions of video vault use, number of internships/co-ops completed, satisfaction with major, and satisfaction with business degree. With the abrupt change from face-to-face to all online classes in the middle of the Spring 2020 semester due to the pandemic, individual engagement GALP (e.g., attendance, participation) declined but video vault use increased. Reassuringly, other GALP scales as well as both satisfaction measures remained stable. Testing for changes in correlations from 2019 to 2020, using the four GALP scales, video vault use, and internships/co-ops completed as the independent variables and satisfaction with major and satisfaction with business degree as the dependent variables, there were several significant correlational changes. The correlation of video vault use to satisfaction with major increased from 2019 to 2020. Increased Individual Creative GALP &ndash; satisfaction with business degree, and Individual Engagement GALP &ndash; satisfaction with business degree correlations were also found. The positive Spring 2020 video vault use findings, and maintained GALP scale perceptions were at least partially due to the immediate online Zoom faculty training facilitated by the Business School Online and Digital Learning Department. However, there was a negative correlation from 2019 to 2020 in the internship/co-op completed &ndash; satisfaction with business degree. . Study limitations and future research issues with the continuing pandemic are discussed.

Examining the effect of explanation on satisfaction and trust in AI diagnostic systems

Background Artificial Intelligence has the potential to revolutionize healthcare, and it is increasingly being deployed to support and assist medical diagnosis. One potential application of AI is as the first point of contact for patients, replacing initial diagnoses prior to sending a patient to a specialist, allowing health care professionals to focus on more challenging and critical aspects of treatment. But for AI systems to succeed in this role, it will not be enough for them to merely provide accurate diagnoses and predictions. In addition, it will need to provide explanations (both to physicians and patients) about why the diagnoses are made. Without this, accurate and correct diagnoses and treatments might otherwise be ignored or rejected. Method It is important to evaluate the effectiveness of these explanations and understand the relative effectiveness of different kinds of explanations. In this paper, we examine this problem across two simulation experiments. For the first experiment, we tested a re-diagnosis scenario to understand the effect of local and global explanations. In a second simulation experiment, we implemented different forms of explanation in a similar diagnosis scenario. Results Results show that explanation helps improve satisfaction measures during the critical re-diagnosis period but had little effect before re-diagnosis (when initial treatment was taking place) or after (when an alternate diagnosis resolved the case successfully). Furthermore, initial “global” explanations about the process had no impact on immediate satisfaction but improved later judgments of understanding about the AI. Results of the second experiment show that visual and example-based explanations integrated with rationales had a significantly better impact on patient satisfaction and trust than no explanations, or with text-based rationales alone. As in Experiment 1, these explanations had their effect primarily on immediate measures of satisfaction during the re-diagnosis crisis, with little advantage prior to re-diagnosis or once the diagnosis was successfully resolved. Conclusion These two studies help us to draw several conclusions about how patient-facing explanatory diagnostic systems may succeed or fail. Based on these studies and the review of the literature, we will provide some design recommendations for the explanations offered for AI systems in the healthcare domain.

PATIENT SATISFACTION WITH HEALTHCARE SERVICES: A CRITICAL REVIEW

As healthcare systems move from pay-per-service to alternative payment models and consumers gain access to more healthcare options, patient satisfaction becomes increasingly important to the financial performance of healthcare providers and to patient health. In this context, patient satisfaction is a complex structure. A critical review of articles published in the Quality Management Journal (QMJ) on patient satisfaction is included to assist researchers and general practitioners. Researchers use the basic holistic quality framework as a preliminary step to evaluate the contributions and shortcomings of studies. In previous studies, it was concluded that the QMJ research focused on patient satisfaction from the perspective of the healthcare delivery system. However, the following criteria are less frequently mentioned: First; to understand patients' perceptions of their experiences and how these perceptions affect satisfaction and perceived quality. The second one is; to determine the expectations of the patients regarding what features should be provided during healthcare services. In this study, first of all, studies in the literature on the subject have been reached, and the findings of the research have been compiled and made into a report. The details of the studies carried out for patient satisfaction measurements and quality practices are tabulated. In this table created for the study, the name of the study, the names of the authors, the type of the study, the problem of the study, the number of participants in the study, the purpose of the study, the analyzes made in the study, where the study was applied, the findings obtained from the study and the results to be obtained from the study are included. As a result, widely used satisfaction measures, including consumer evaluation surveys of healthcare providers and healthcare systems, have fallen short. The study review is expected to guide researchers in developing further research agendas to understand patient satisfaction.