Hospital treatment environments have become a major concern in recent years. Noise and illumination are potential stress sources in hospitals. The purpose ofthis study was to examine the effects of hospital noise levels and ambient illumination on newborn infants (neonates). Noise levels and lighting were varied and the effect upon neonatal heart rate, respiration rate, blood pressure, and oxygen consumption were measured. These measures are sensitive tosympathetic nervous system reactivity such as that brought about by stressful environments. In addition, noise and lighting levels were measured to determine if differences existed across conditions. Psychophysiological responses to various noise and lighting levels varied within and across neonates with some changes in the expected direction. Some unexpected results of Quiet Time were noted among neonatal intensive care staff and hospital personnel.

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Yes / Objective To determine whether hospitals with a good organisation of care (such as improved nurse staffing and work environments) can affect patient care and nurse workforce stability in European countries. Design Cross sectional surveys of patients and nurses. Setting Nurses were surveyed in general acute care hospitals (488 in 12 European countries; 617 in the United States); patients were surveyed in 210 European hospitals and 430 US hospitals. Participants 33 659 nurses and 11 318 patients in Europe; 27 509 nurses and more than 120 000 patients in the US. Main outcome measures Nurse outcomes (hospital staffing, work environments, burnout, dissatisfaction, intention to leave job in the next year, patient safety, quality of care), patient outcomes (satisfaction overall and with nursing care, willingness to recommend hospitals). Results The percentage of nurses reporting poor or fair quality of patient care varied substantially by country (from 11% (Ireland) to 47% (Greece)), as did rates for nurses who gave their hospital a poor or failing safety grade (4% (Switzerland) to 18% (Poland)). We found high rates of nurse burnout (10% (Netherlands) to 78% (Greece)), job dissatisfaction (11% (Netherlands) to 56% (Greece)), and intention to leave (14% (US) to 49% (Finland, Greece)). Patients’ high ratings of their hospitals also varied considerably (35% (Spain) to 61% (Finland, Ireland)), as did rates of patients willing to recommend their hospital (53% (Greece) to 78% (Switzerland)). Improved work environments and reduced ratios of patients to nurses were associated with increased care quality and patient satisfaction. In European hospitals, after adjusting for hospital and nurse characteristics, nurses with better work environments were half as likely to report poor or fair care quality (adjusted odds ratio 0.56, 95% confidence interval 0.51 to 0.61) and give their hospitals poor or failing grades on patient safety (0.50, 0.44 to 0.56). Each additional patient per nurse increased the odds of nurses reporting poor or fair quality care (1.11, 1.07 to 1.15) and poor or failing safety grades (1.10, 1.05 to 1.16). Patients in hospitals with better work environments were more likely to rate their hospital highly (1.16, 1.03 to 1.32) and recommend their hospitals (1.20, 1.05 to 1.37), whereas those with higher ratios of patients to nurses were less likely to rate them highly (0.94, 0.91 to 0.97) or recommend them (0.95, 0.91 to 0.98). Results were similar in the US. Nurses and patients agreed on which hospitals provided good care and could be recommended. Conclusions Deficits in hospital care quality were common in all countries. Improvement of hospital work environments might be a relatively low cost strategy to improve safety and quality in hospital care and to increase patient satisfaction. / Dr McIntosh is a member of the the RN4CAST Consortium.

published_or_final_version / Social Work / Master / Master of Social Work

Thesis (Ph. D.)--University of New South Wales, 2004. / Also available online.

The quality of service from a hospital is the number one factor that will either turn a customer/patient away or make one for life. More and more hospitals are competing for greater shares in the market and customer-driven quality management is becoming the preferred method for improving their performance. Awali hospital is a private hospital in the Kingdom of Bahrain. It is a small 35-bed hospital that offers private medical services to the public. The hospital was originally built to serve the Bahrain Petroleum Company (Bapco) refinery workers but later opened its doors to the public. With the introduction of private patients came higher expectations of quality and higher demands on the overall services. A number of service quality shortfalls were identified over the years but never identified quantitatively by a patient evaluation survey. An English and Arabic version of the questionnaire based on SERVQUAL (Zeithaml, Parasuraman and Berry, 1988) was developed and placed in Awali hospital to test these service quality shortfalls. This study intends to evaluate these areas by answering questions about the relevant areas of service provided by the hospital. It measured patient satisfaction by looking at human aspects of service (responsiveness, reliability, empathy and assurance) with only one factor of the instrument being devoted to the non-human aspect of care rendered (tangibles). The SERVQUAL instrument has five dimensions that were measured by 21 pairs of item statements. One statement from each pair reflects perceptions, the other expectations. Measurement was accomplished by subtracting expectation from perceptions resulting in a service quality score. Positive or zero scores would reflect ideal or adequate service quality offered by the hospital. A negative score would be indicative of a service experience that did not meet customer expectations. Using the SERVQUAL questionnaire provided, quantifiable reasoning to the research questions in each dimension could be obtained so that precision, objectivity and rigour replaced hunches, experience and intuition as a means of investigating problem areas. Customers were first asked to supply some additional demographic information, for example gender, number of hospital visits, nationality, patient type (Bapco worker, general practitioner referred or private) and type of visit (inpatient, outpatient or both). They werethen asked to rate the hospital service on a 7-point Likert scale ranging from Strongly Agree (7) to Strongly Disagree (1). At the end of the questionnaire was space to write open comments. In total 600 paper questionnaires were distributed in the hospital, 300 English and 300 Arabic. Another 150 electronic questionnaires via emails were sent to refinery workers. Of the total 750 questionnaires distributed 162 were returned of which 156 (or 21.6%) could be statistically analysed. The empirical data results showed that the perception scores were significantly different at the p < 0.05 level from expectation scores. All the service quality differences (SQ=P-E) were negatively scored. This indicated that patients were not satisfied in all five dimensions of services offered by the hospital. Of the five dimensions responsiveness had the largest difference with assurance and reliability following with no significant differences between them. The demographic information revealed some interesting differences between the groups. Of all the demographic groups the most significant differences were between groups, “patient types” and “types of visit”, which showed differences between private patients and refinery workers and patients who used the hospital only as an outpatient and patients who used both services, outpatient and inpatient. In terms of the managerial implications, it was recommended that Awali hospital look to closing Gaps 1-4 of the SERVQUAL gap model which would result in closing the consumer gap, Gap 5. A process model for continuous measurement and improvement of service quality was recommended that looks at asking questions about how the hospital is performing. By adopting some of the recommendations identified in the research questions, Awali hospital could improve their quality of service, and as a consequence, their customer satisfaction and loyalty.

India, the world’s largest democracy and second most populous country, is in the midst of an economic boom with gross domestic product growth averaging nearly 8% over the past several years despite a worldwide recession. The World Health Organization (WHO) has predicted that trauma case related deaths in India will move from ninth position up to the third position by 2020. The organization structure for an improved national trauma system in India will depend on a national inclusive strategy supported by resources and funding within a service quality framework to win public trust. This must include an integrated nationally coordinated approach to the organization of pre-hospital care facilities, hospital networking and communication systems, and the organization of in-hospital care.