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1

Zwanziger, Jack, and Nasreen Khan. "Safety-Net Hospitals." Medical Care Research and Review 65, no. 4 (2008): 478–95. http://dx.doi.org/10.1177/1077558708315440.

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La, Melvin, Virginia Tangel, Soham Gupta, Tiffany Tedore, and Robert S. White. "Hospital safety net burden is associated with increased inpatient mortality and postoperative morbidity after total hip arthroplasty: a retrospective multistate review, 2007–2014." Regional Anesthesia & Pain Medicine 44, no. 9 (2019): 839–46. http://dx.doi.org/10.1136/rapm-2018-100305.

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BackgroundTotal hip arthroplasty (THA) is one of the most widely performed surgical procedures in the USA. Safety net hospitals, defined as hospitals with a high proportion of cases billed to Medicaid or without insurance, deliver a significant portion of their care to vulnerable populations, but little is known about the effects of a hospital’s safety net burden and its role in healthcare disparities and outcomes following THA. We quantified safety net burden and examined its impact on in-hospital mortality, complications and length of stay (LOS) in patients who underwent THA.MethodsWe analyzed 500 189 patient discharge records for inpatient primary THA using data from the Healthcare Cost and Utilization Project’s State Inpatient Databases for California, Florida, New York, Maryland and Kentucky from 2007 to 2014. We compared patient demographics, present-on-admission comorbidities and hospital characteristics by hospital safety net burden status. We estimated mixed-effect generalized linear models to assess hospital safety burden status’ effect on in-hospital mortality, patient complications and LOS.ResultsPatients undergoing THA at a hospital with a high or medium safety net burden were 38% and 30% more likely, respectively, to die in-hospital compared with those in a low safety net burden hospital (high adjusted OR: 1.38, 95% CI 1.10 to 1.73; medium adjusted OR: 1.30, 95% CI 1.07 to 1.57). Compared with patients treated in hospitals with a low safety net burden, patients treated in high safety net hospitals were more likely to develop a postoperative complication (adjusted OR: 1.11, 95% CI 1.00 to 1.24) and require a longer LOS (adjusted IRR: 1.06, 95% CI 1.05, 1.07).ConclusionsOur study supports our hypothesis that patients who underwent THA at hospitals with higher safety net burden have poorer outcomes than patients at hospitals with lower safety net burden.
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Peyravi, MD, PhD, Mahmoudreza, Milad Ahmadi Marzaleh, PhD Candidate, Fatemeh Gandomkar, MSc, Aman Allah Zamani, PhD Candidate, and Amir Khorram-Manesh, MD, PhD. "Hospital Safety Index analysis in Fars Province hospitals, Iran, 2015-2016." American Journal of Disaster Medicine 14, no. 1 (2019): 25–32. http://dx.doi.org/10.5055/ajdm.2019.0313.

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Background and objectives: Hospitals are the vital part of disaster management and their functionality should be maintained and secured. However, it can be the target of natural and man-made disasters. In Iran, Fars Province is prone to major incidents and disasters in its hospitals at any time during the course of a year. This study aimed to examine the Hospital Safety Index (HSI) in all hospitals (public and private) affiliated to Shiraz University of Medical Sciences (SUMS).Materials and methods: This cross-sectional study was conducted during 2015-2016, using the World Health Organization’s HSI checklist. All 58 hospitals in Fars Province affiliated to SUMS were included. The hospital assessment team was formed to collect the data retrospectively and by visiting and interviewing hospital’s authority based on the checklist. The collected data were analyzed using Microsoft Excel.Results: The results showed that in the abovementioned years, the structural safety of hospitals reached the highest optimal level, whereas functional safety reached the lowest level. The results of the studies conducted in 2016 showed that during this year, the overall hospital safety level improved (6 and B).Conclusion: Although safety in hospitals located in Fars Province has improved due to continuous disaster mitigation and preparedness activities, there is still space for more improvement to achieve and maintain higher levels of safety in hospitals. Paying attention to this, the authors recommend that proper policies, legislation, and intra- and inter-institutional coordination are the requirements for a successful outcome.
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Longo, Daniel R., John E. Hewett, Bin Ge, and Shari Schubert. "Hospital Patient Safety: Characteristics of Best-Performing Hospitals." Journal of Healthcare Management 52, no. 3 (2007): 188–204. http://dx.doi.org/10.1097/00115514-200705000-00009.

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Djalali, A., A. Massumi, G. Öhlen, M. Castren, and L. Kurland. "(A282) Comparison of Safety Index in Iranian Hospitals." Prehospital and Disaster Medicine 26, S1 (2011): s78. http://dx.doi.org/10.1017/s1049023x11002664.

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IntroductionHospitals are highly complex facilities that play a key role in the medical response to disasters. However, they are susceptible to the impact of disasters with respect to their structural, non-structural and functional elements. Many hospitals have collapsed or been damaged and rendered nonfunctional as a consequence of disasters. The resilience of a hospital along with the capability of effective medical response to disasters is a key part of a community based disaster plan.ObjectiveThe objective of this study was to evaluate and compare hospitals in Iran with respect to safety.MethodsThis study was performed as a survey in four hospitals in Iran. The Hospital Safety Index package from WHO was used as an evaluation tool. The evaluation team consisted of: a PhD in structural engineering, an architect with a Master's degree, a specialist in electrical and mechanical maintenance, a medical doctor, a specialist in disaster management, and an expert in health care planning. The hospitals were evaluated in three elements; structural, non-structural, and organizational. The hospital safety calculator was used.ResultsThe most important hazard for these hospitals was earthquakes. The structural safety at three hospitals was inadequate or at risk; and consequently needs intervention in a near future. Also, the administrative and organizational element of these hospitals was inadequate or at risk. All hospitals need intervention in the near future due to non-structural safety being inadequate. The overall safety index at one hospital was A (functional); in two hospitals B (at risk); and in one hospital C (inadequate).ConclusionsThe Iranian hospitals which had been assessed were on the whole unsafe. Also, these hospitals do not have a disaster management plan. Implementing a comprehensive disaster plan, including mitigation and a preparedness plan, would most likely enhance the safety of these hospitals.
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Ercan, Aydan, and Gul Kiziltan. "Kitchen Safety in Hospitals." Workplace Health & Safety 62, no. 10 (2014): 415–20. http://dx.doi.org/10.3928/21650799-20140902-03.

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7

Doherty, Gerard M. "Safety-Net Hospitals Care." JAMA Surgery 151, no. 12 (2016): 1192. http://dx.doi.org/10.1001/jamasurg.2016.3646.

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Murphy, M. F., and M. H. Yazer. "Transfusion safety in hospitals." ISBT Science Series 9, no. 1 (2014): 281–86. http://dx.doi.org/10.1111/voxs.12074.

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9

Knapp, Richard M. "Quality and Safety Performance in Teaching Hospitals." American Surgeon 72, no. 11 (2006): 1051–54. http://dx.doi.org/10.1177/000313480607201113.

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The Hospital Quality Alliance created a vehicle to display Hospital Performance data which is known as Hospital Compare. Overall, the data shows that teaching hospitals perform very well in the areas of Heart Failure and Heart Attack and not as well in Pneumonia care. Unique issues at teaching hospitals, such as timing for specific patient services, continue to be a concern in achieving high scores relative to their non-teaching peers. Most hospitals and specifically surgical services will be challenged in the upcoming years with the addition of the Surgical Care Improvement Project (SCIP) measures as we move into the pay-for-performance era.
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Soh, Sze-Ee, Renata Morello, Sheral Rifat, Caroline Brand, and Anna Barker. "Nurse perceptions of safety climate in Australian acute hospitals: a cross-sectional survey." Australian Health Review 42, no. 2 (2018): 203. http://dx.doi.org/10.1071/ah16172.

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Objectives The aim of the present study was to explore nurse perceptions of safety climate in acute Australian hospitals. Methods Participants included 420 nurses who have worked on 24 acute wards from six Australian hospitals. The Safety Attitudes Questionnaire (SAQ) Short Form was used to quantify nurse perceptions of safety climate and benchmarked against international data. Generalised linear mixed models were used to explore factors that may influence safety climate. Results On average, 53.5% of nurses held positive attitudes towards job satisfaction followed by teamwork climate (50.5%). There was variability in SAQ domain scores across hospitals. The safety climate and perceptions of hospital management domains also varied across wards within a hospital. Nurses who had worked longer at a hospital were more likely to have poorer perceptions of hospital management (β = –5.2; P = 0.014). Overall, nurse perceptions of safety climate appeared higher than international data. Conclusions The perceptions of nurses working in acute Victorian and New South Wales hospitals varied between hospitals as well as across wards within each hospital. This highlights the importance of surveying all hospital wards and examining the results at the ward level when implementing strategies to improve patient safety and the culture of safety in organisations. What is known about the topic? Prior studies in American nursing samples have shown that hospitals with higher levels of safety climate have a lower relative incidence of preventable patient complications and adverse events. Developing a culture of safety in hospitals may be useful in targeting efforts to improve patient safety. What does this paper add? This paper has shown that the perceptions of safety climate among nurses working in acute Australian hospitals varied between hospitals and across wards within a hospital. Only half the nurses also reported positive attitudes towards job satisfaction and teamwork climate. What are the implications for practitioners? Programs or strategies that aim to enhance teamwork performance and skills may be beneficial to improving the culture of safety in hospitals. Wards may also have their own safety ‘subculture’ that is distinct from the overall hospital safety culture. This highlights the importance of tailoring and targeting quality improvement initiatives at the ward level.
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Babamohamadi, Hassan, Roghayeh Khabiri Nemati, Monir Nobahar, et al. "Evaluation of Patient Safety Indicators in Semnan City Hospitals by Using the Patient Safety Friendly Hospital Initiative (PSFHI)." Global Journal of Health Science 8, no. 8 (2015): 1. http://dx.doi.org/10.5539/gjhs.v8n8p1.

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<p><strong>BACKGROUND: </strong>Nowadays, patient safety issue is among one of the main concerns of the hospital policy worldwide<strong>.</strong> This study aimed to evaluate the patient safety status in hospitals affiliated to Semnan city, using the WHO model for Patient Safety Friendly Hospital Initiatives (PSFHI) in summer 2014.</p><p class="20-SciencePG-Text"><strong>METHODS:</strong> That was a cross sectional descriptive study that addressed patient safety , which explained the current status of safety in the Semnan hospitals using by instrument of Patient safety friendly initiative standards (PSFHI)<strong>.</strong> Data was collected from 5 hospitals in Semnan city during four weeks in May 2014.</p><p><strong>RESULTS: </strong>The finding of 5 areas examined showed that some components in critical standards had disadvantages<strong>.</strong> Critical standards of hospitals including areas of leadership and administration, patient and public involvement and safe evidence-based clinical practice, safe environment with and lifetime education in a safe and secure environment were analyzed. The domain of patient and public involvement obtained the lowest mean score and the domain of safe environment obtained the highest mean score in the surveyed hospitals.</p><p><strong>CONCLUSION: </strong>All the surveyed hospitals had a poor condition regarding standards based on patient safety. Further, the identified weak points are almost the same in the hospitals. Therefore, In order to achieve a good level of all aspects of the protocol, the goals should be considered in the level of strategic planning at hospitals. An effective execution of patient safety creatively may depend on the legal infrastructure and enforcement of standards by hospital management, organizational liability to expectation of patients, safety culture in hospitals.</p>
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Almeida, Raquel Elisa de, and Maria Cristina Soares Rodrigues. "Filling in the Surgical Safety Checklist in Brazilian hospitals." Revista da Rede de Enfermagem do Nordeste 19 (October 8, 2018): e32567. http://dx.doi.org/10.15253/2175-6783.20181932567.

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Djalali, Ahmadreza, Ali Ardalan, Gunnar Ohlen, et al. "Nonstructural Safety of Hospitals for Disasters: A Comparison Between Two Capital Cities." Disaster Medicine and Public Health Preparedness 8, no. 2 (2014): 179–84. http://dx.doi.org/10.1017/dmp.2014.21.

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AbstractObjectiveHospitals are expected to function as a safe environment during disasters, but many become unusable because of nonstructural damage. This study compares the nonstructural safety of hospitals to disasters in Tehran and Stockholm.MethodsHospital safety in Tehran and Stockholm was assessed between September 24, 2012, and April 5, 2013, with use of the nonstructural module of the hospital safety index from the World Health Organization. Hospital safety was categorized as safe, at risk, or inadequate.ResultsAll 4 hospitals in Stockholm were classified as safe, while 2 hospitals in Tehran were at risk and 3 were safe. The mean nonstructural safety index was 90% ± 2.4 SD for the hospitals in Stockholm and 64% ± 17.4 SD for those in Tehran (P = .014).ConclusionsThe level of hospital safety, with respect to disasters, was not related to local vulnerability. Future studies on hospital safety should assess other factors such as legal and financial issues. (Disaster Med Public Health Preparedness. 2014;0:1-6)
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SCHNEIDER, MARY ELLEN. "Hospitals Tackle Patient Safety Goal." Hospitalist News 1, no. 1 (2008): 1–6. http://dx.doi.org/10.1016/s1875-9122(08)70001-4.

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Liakopoulos, Leonidas, Helen Pavlidou, Markos Maragkos, Dimitrios Velissaris, Georgios Soufras, and Charalambos Gogos. "Patient Safety in Greek Hospitals." Prehospital and Disaster Medicine 32, S1 (2017): S62. http://dx.doi.org/10.1017/s1049023x17001698.

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AULT, ALICIA. "Overcrowded Hospitals Jeopardize Patient Safety." Internal Medicine News 38, no. 21 (2005): 85. http://dx.doi.org/10.1016/s1097-8690(05)72314-3.

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Cockey, Carolyn Davis. "Hospitals Improving Medication Safety Practices." AWHONN Lifelines 9, no. 2 (2005): 120. http://dx.doi.org/10.1111/j.1552-6356.2005.tb00773.x.

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18

Patel, Saharsh, and Albert W. Wu. "Safety Culture in Indian Hospitals." Journal of Patient Safety 12, no. 2 (2016): 75–81. http://dx.doi.org/10.1097/pts.0000000000000085.

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19

Hoehn, Richard S., Derek E. Go, and Shimul A. Shah. "Safety-Net Hospitals Care—Reply." JAMA Surgery 151, no. 12 (2016): 1192. http://dx.doi.org/10.1001/jamasurg.2016.3647.

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Ibrahim, Said. "Identifying Safety Net Hospitals Consistently." JAMA Health Forum 2, no. 7 (2021): e211240. http://dx.doi.org/10.1001/jamahealthforum.2021.1240.

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Guglielminotti, Jean, and Guohua Li. "Monitoring Obstetric Anesthesia Safety across Hospitals through Multilevel Modeling." Anesthesiology 122, no. 6 (2015): 1268–79. http://dx.doi.org/10.1097/aln.0000000000000617.

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Abstract Background: The rate of anesthesia-related adverse events (ARAEs) is recommended for monitoring patient safety across hospitals. To ensure comparability, it is adjusted for patients’ characteristics with logistic models (i.e., risk adjustment). The rate adjusted for patient-level characteristics and hospital affiliation through multilevel modeling is suggested as a better metric. This study aims to assess a multilevel model-based rate of ARAEs. Methods: Data were obtained from the State Inpatient Database for New York 2008–2011. Discharge records for labor and delivery and ARAEs were identified with International Classification of Diseases, Ninth Revision, Clinical Modification codes. The rate of ARAEs for each hospital during 2008–2009 was calculated using both the multilevel and the logistic modeling approaches. Performance of the two methods was assessed with (1) interhospital variability measured by the SD of the rates; (2) reclassification of hospitals; and (3) prediction of hospital performance in 2010–2011. Rankability of each hospital was assessed with the multilevel model. Results: The study involved 466,442 discharge records in 2008–2009 from 144 hospitals. The overall observed rate of ARAEs in 2008–2009 was 4.62 per 1,000 discharges [95% CI, 4.43 to 4.82]. Compared with risk adjustment, multilevel modeling decreased SD of ARAE rates from 4.7 to 1.3 across hospitals, reduced the proportion of hospitals classified as good performers from 18% to 10%, and performed similarly well in predicting future ARAE rates. Twenty-six hospitals (18%) were nonrankable due to inadequate reliability. Conclusion: The multilevel modeling approach could be used as an alternative to risk adjustment in monitoring obstetric anesthesia safety across hospitals.
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Vaz, Louise Elaine, Kenneth P. Kleinman, Alison Tse Kawai, et al. "Impact of Medicare’s Hospital-Acquired Condition Policy on Infections in Safety Net and Non–Safety Net Hospitals." Infection Control & Hospital Epidemiology 36, no. 6 (2015): 649–55. http://dx.doi.org/10.1017/ice.2015.38.

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BACKGROUNDPolicymakers may wish to align healthcare payment and quality of care while minimizing unintended consequences, particularly for safety net hospitals.OBJECTIVETo determine whether the 2008 Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy had a differential impact on targeted healthcare-associated infection rates in safety net compared with non–safety net hospitals.DESIGNInterrupted time-series design.SETTING AND PARTICIPANTSNonfederal acute care hospitals that reported central line–associated bloodstream infection and ventilator-associated pneumonia rates to the Centers for Disease Control and Prevention’s National Health Safety Network from July 1, 2007, through December 31, 2013.RESULTSWe did not observe changes in the slope of targeted infection rates in the postpolicy period compared with the prepolicy period for either safety net (postpolicy vs prepolicy ratio, 0.96 [95% CI, 0.84–1.09]) or non–safety net (0.99 [0.90–1.10]) hospitals. Controlling for prepolicy secular trends, we did not detect differences in an immediate change at the time of the policy between safety net and non–safety net hospitals (P for 2-way interaction, .87).CONCLUSIONSThe Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy did not have an impact, either positive or negative, on already declining rates of central line–associated bloodstream infection in safety net or non–safety net hospitals. Continued evaluations of the broad impact of payment policies on safety net hospitals will remain important as the use of financial incentives and penalties continues to expand in the United States.Infect Control Hosp Epidemiol 2015;00(0): 1–7
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Fos, Elmer B. "The unintended consequences of The Centers for Medicare and Medicaid Services pay-for-performance structures on safety-net hospitals and the low-income, medically vulnerable population." Health Services Management Research 30, no. 1 (2016): 10–15. http://dx.doi.org/10.1177/0951484816678011.

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Safety-net hospitals are hospitals with patient mix that is substantially composed of the uninsured, underinsured, and low-income, medically vulnerable patient populations. They are the hospitals of last resort for poor patients. This article examined the impact of The Centers for Medicare and Medicaid Services pay-for-performance reimbursement policies on the financial viability of safety-net hospitals. Studies showed that these policies, which are based on the principle of reward and punishment, might have unintentionally placed safety-net hospitals on financial disadvantage compared to other hospital organizations. Several studies implied that these payment structures might have resulted in a situation where safety-net hospitals that are serving poor patient populations become more susceptible to penalties than hospitals that are serving affluent patients.
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Encinosa, William E., and Didem M. Bernard. "Hospital Finances and Patient Safety Outcomes." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 42, no. 1 (2005): 60–72. http://dx.doi.org/10.5034/inquiryjrnl_42.1.60.

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Hospitals recently have experienced greater financial pressures. Whether these financial pressures have led to more patient safety problems is unknown. Using the Healthcare Cost and Utilization Project (HCUP) State Inpatient Data for Florida from 1996 to 2000, this study examines whether financial pressure at hospitals is associated with increases in the rate of patient safety events (e.g., medical errors) for major surgeries. Findings show that patients have significantly higher odds of having adverse patient safety events (nursing-related patient safety events, surgery-related patient safety events, and all likely preventable patient safety events) when hospital profit margins decline over time. The finding that a within-hospital erosion of hospital operating profits increases the rate of adverse patient safety events suggests that any cost-cutting efforts be carefully designed and managed.
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Eiras, Margarida, Ana Escoval, Isabel Monteiro Grillo, and Carina Silva-Fortes. "The hospital survey on patient safety culture in Portuguese hospitals." International Journal of Health Care Quality Assurance 27, no. 2 (2014): 111–22. http://dx.doi.org/10.1108/ijhcqa-07-2012-0072.

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Purpose – Quantitative instruments to assess patient safety culture have been developed recently and a few review articles have been published. Measuring safety culture enables healthcare managers and staff to improve safety behaviours and outcomes for patients and staff. The study aims to determine the AHRQ Hospital Survey on Patient Safety Culture (HSPSC) Portuguese version's validity and reliability. Design/methodology/approach – A missing-value analysis and item analysis was performed to identify problematic items. Reliability analysis, inter-item correlations and inter-scale correlations were done to check internal consistency, composite scores. Inter-correlations were examined to assess construct validity. A confirmatory factor analysis was performed to investigate the observed data's fit to the dimensional structure proposed in the AHRQ HSPSC Portuguese version. To analyse differences between hospitals concerning composites scores, an ANOVA analysis and multiple comparisons were done. Findings – Eight of 12 dimensions had Cronbach's alphas higher than 0.7. The instrument as a whole achieved a high Cronbach's alpha (0.91). Inter-correlations showed that there is no dimension with redundant items, however dimension 10 increased its internal consistency when one item is removed. Originality/value – This study is the first to evaluate an American patient safety culture survey using Portuguese data. The survey has satisfactory reliability and construct validity.
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Hart, Valeria. "Hospital IT Sophistication Profiles and Patient Safety Outcomes." International Journal of Healthcare Information Systems and Informatics 8, no. 1 (2013): 17–36. http://dx.doi.org/10.4018/jhisi.2013010102.

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Information technology (IT) sophistication of acute care hospitals in Texas was measured to explore the relationships between IT infrastructure and patient outcomes using Donabedian’s framework. The sample was acute care hospitals (n=175) with an IT profile using HIMSS, demographic and operations data. Three dimensions of hospital IT sophistication were measured and related to patient care outcomes using the AHRQ Patient Safety Indicators (PSI). Significant relationships (p < 0.05) using linear regression were found between hospital IT sophistication and three PSI measures. A review of similar studies during the same time period in Iowa, Georgia, and Florida compares findings from two instruments used to profile hospital IT infrastructure. This study adds to and confirms findings of positive relationships between IT sophistication of hospitals and patient care outcomes using the AHRQ safety indicators. Discussion of the conceptual model and the IT sophistication construct provides a theoretical framework for this line of research.
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Alreshidi, Ibrahim Dughaim. "Medication Safety in Hospital." International Current Pharmaceutical Journal 6, no. 1 (2016): 6–8. http://dx.doi.org/10.3329/icpj.v6i1.30794.

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The World Health Organization has recommended the adoption of basic applications in healthcare facilities to enhance medication safety over the years, but it remains unclear if these recommendations are adhered to by hospitals. We assessed the availability of primary medication safety practices in Saudi Arabian hospitals. Survey were carried out in 70 hospitals to identify the presence of core medication safety practices in Saudi Arabian hospitals and revealed that there were room and opportunity for improvement, even for cheap interventions. According to the study, only about 29% of the Saudi Arabian hospitals had a proper functioning drug safety committee, and 10% had a designated medication safety officer. It was also revealed that only 32% of the hospitals had the list of LASA authorized drugs, and 51% had a list of error-prone abbreviations and medical terms. Saturated electrolytes were also found as floor stock in 60% of all hospitals.Alreshidi, International Current Pharmaceutical Journal, December 2016, 6(1): 6-8http://www.icpjonline.com/documents/Vol6Issue1/02.pdf
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Bazzoli, Gloria J., Larry M. Manheim, and Teresa M. Waters. "U.S. Hospital Industry Restructuring and the Hospital Safety Net." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 40, no. 1 (2003): 6–24. http://dx.doi.org/10.5034/inquiryjrnl_40.1.6.

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The U.S. hospital industry was reshaped during the 1990s, with many hospitals becoming members of health systems and networks. Our research examines whether safety net hospitals (SNHs) were generally included or excluded from these arrangements, and the factors associated with their involvement. Our analysis draws on the earlier work of Alexander and Morrisey (1988), and not only studies factors affecting SNH participation in multihospital arrangements but also updates their earlier study. We constructed measures for hospital market conditions, management, and mission, and examined network and system affiliation patterns between 1994 and 1998. Our findings suggest that larger and more technically advanced hospitals joined systems in the 1990s, which contrasts with 1980s findings that smaller, financially weak institutions joined systems. Further, SNH participation in networks and systems was more common when hospitals faced less market pressure and where only a limited number of unaffiliated hospitals remained. If networks and systems are key parties in negotiating with private payers, SNHs may be going it alone in these negotiations in highly competitive markets.
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Singer, Sara, Shoutzu Lin, Alyson Falwell, David Gaba, and Laurence Baker. "Relationship of Safety Climate and Safety Performance in Hospitals." Health Services Research 44, no. 2p1 (2009): 399–421. http://dx.doi.org/10.1111/j.1475-6773.2008.00918.x.

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SINGER, SARA J., and LAURENCE C. BAKER. "RELATIONSHIP OF SAFETY CLIMATE AND SAFETY PERFORMANCE IN HOSPITALS." Academy of Management Proceedings 2007, no. 1 (2007): 1–6. http://dx.doi.org/10.5465/ambpp.2007.26530063.

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Aviles, Alan D. "Comparisons of Safety-Net and Non–Safety-Net Hospitals." JAMA 300, no. 14 (2008): 1650. http://dx.doi.org/10.1001/jama.300.14.1650-b.

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O’Connell, Gene Marie. "Comparisons of Safety-Net and Non–Safety-Net Hospitals." JAMA 300, no. 14 (2008): 1650. http://dx.doi.org/10.1001/jama.300.14.1651-a.

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Williams, Jeffrey L. "Comparisons of Safety-Net and Non–Safety-Net Hospitals." JAMA 300, no. 14 (2008): 1650. http://dx.doi.org/10.1001/jama.300.14.1651-b.

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Sunindijo, Riza Yosia, Fatma Lestari, and Oktomi Wijaya. "Hospital safety index: assessing the readiness and resiliency of hospitals in Indonesia." Facilities 38, no. 1/2 (2019): 39–51. http://dx.doi.org/10.1108/f-12-2018-0149.

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Purpose This study aims to assess the hospital readiness and resiliency in a disaster-prone Indonesia. Design/methodology/approach Hospital Safety Index (HSI), containing 151 items, was used to assess ten hospital in West Java and five hospitals in Yogyakarta. Findings The average level of HSI for the hospitals under investigation is B, indicating that their ability to function during and after emergencies and disasters are potentially at risk, thus, intervention measures are needed in the short term. Hospitals in Yogyakarta scored lowly in terms of their emergency and disaster management, even though they have previously experienced major disasters in 2006 and 2010. Practical implications The role of the government is crucial to improve hospital readiness and resiliency in Indonesia. It is recommended that they: identify disaster-prone areas so that their hospital readiness and resiliency can be assessed; assess the readiness and resiliency of hospitals the prioritized areas; implement intervention measures; re-assess the readiness and resiliency of hospitals in the prioritized areas after implementing intervention measures; and develop a framework to ensure that the hospitals can maintain their level of readiness and resiliency over time. Originality/value Research on hospital readiness and resiliency in Indonesia is still limited despite the size of the country and its proneness to disasters. This research has investigated the feasibility and value of using HSI to assess hospital readiness and resilience in Indonesia.
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Kiely, Robert G. "PRACTITIONER APPLICATION: Hospital Patient Safety: Characteristics of Best-Performing Hospitals." Journal of Healthcare Management 52, no. 3 (2007): 204–5. http://dx.doi.org/10.1097/00115514-200705000-00010.

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Amor, Agasha, and Margaret A. Dudeck. "Changes in the Characteristics of Hospitals Participating in the National Healthcare Safety Network (NHSN), 2008–2018." Infection Control & Hospital Epidemiology 41, S1 (2020): s159—s160. http://dx.doi.org/10.1017/ice.2020.683.

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Background: The NHSN is the nation’s most widely used healthcare-associated infection surveillance system. Nearly all acute-care hospitals reporting to the NHSN do so in fulfillment of state mandates and/or as required for participation in the CMS Quality Reporting program, since 2011. All NHSN-participating acute-care hospitals (ACHs) reporting in the Patient Safety Component are required to complete an annual survey and to self-report on the hospital’s general characteristics, including hospital size and type, and patient volume. Due to the compulsory nature of the survey, the NHSN receives nearly a 100% completion rate each year. Furthermore, hospital-level characteristics are often used by the CDC to develop risk-adjusted summary measures and national benchmarks. This study is the first to evaluate ACH characteristics over an 11-year period. Methods: All ACHs that completed an annual survey during 2008–2018 were included. The data were divided into subsets to evaluate consistent reporters, defined as facilities that were enrolled in 2008 and completed surveys through 2018. Medical teaching status is defined as a facility that trains either medical students, nursing students, residents and fellows. Medical teaching status is grouped into 3 categories: (1) undergraduate facility that trains medical school students, (2) graduate facility that trains residents or fellows, and (3) major facility that trains both medical and residents or fellows. We used univariate analyses to assess characteristics of acute-care hospitals (ACHs). Results: Overall, the number of ACHs enrolled in the NHSN increased by 119%, from 1,772 in 2008 to 3,883 in 2018. More general acute-care hospitals (89%) were enrolled than all other facility types, with women’s and children’s hospitals were the least frequently enrolled (0.34%). Hospitals with any level of medical teaching status, increased from 38.5% in 2008 to 60% in 2018 (Fig. 1). We observed a modest reduction in the median hospital bed size of 20 beds. When reviewing hospital bed size by category, ACHs with 51–200 beds made up the largest proportion of hospitals and the number of hospitals within this bed size category has remained above 1,500 since 2010. Conclusions: Among all ACHs, the proportion of hospitals affiliated with a medical school increased over the 10-year period. Although hospitals with a major teaching status had been steadily increasing, there were more hospitals using this designation after 2013. Despite the increase in the number of hospitals reporting to NHSN, since 2011, the proportion of hospitals within each bed size category has seen minimal change.Funding: NoneDisclosures: None
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Saadati, Mohamad, Ramin Rezapour, and Javad Sajjadi Khasraghi. "Safety Status of Imaging Ward in Public and Private Hospitals." Depiction of Health 12, no. 2 (2021): 105–12. http://dx.doi.org/10.34172/doh.2021.11.

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Background and Objectives: Safety is one of the main dimensions of quality of health services. Considering the expansion of imaging equipment in diagnosis of diseases and the importance of maintaining and improving the safety of patients and staff in these wards, this study aimed to investigate the safety status of imaging wards in hospitals. Material and Methods: This study is a cross-sectional descriptive-analytical study. The sampling method was the census so that all public and private hospitals in Tabriz city of Iran (7 public hospitals affiliated to Tabriz University of Medical Sciences and 6 private hospitals) were enrolled in the study. The instrument used was a researcher-made checklist whose content validity ratio was 0.82 and the Content Validity Index was 0.86. The safety status of the wards was evaluated in 9 domains. Data were analyzed by SPSS software version 24 using descriptive statistics and Mann-Whitney test. Results: The mean safety score of imaging wards was 79.78 ± 6.2 The average safety scores in public hospitals were 79.7±5.91 and private hospitals were 79.8 ±7.29. Radiation safety was the highest score in public and private hospitals (92.85 ± 8.09) and private (95.8 ± 9.17). The lowest standards compliance in public hospitals was related to electrical safety (69.28 ± 10.96). In private hospitals, employee safety had the lowest score (62.96 ± 9.07). There was a significant difference between the mean score of employee safety and the type of hospital ownership (public and private) (p value=0.019). Conclusion: Safety improvement in imaging should be studied as one of the priority issues in all hospitals. Employee safety had the lowest score thus it is necessary to implement strategies to improve employee safety including providing appropriate protective clothing, daily distribution of milk and proportionate compensation such as paying to work with radiation, reducing working hours and increasing annual leave according to existing laws.
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38

Yu, Brian, Cheng-Fan Wen, Heng-Lien Lo, Hsun-Hsiang Liao, and Pa-Chun Wang. "Improvements in patient safety culture: a national Taiwanese survey, 2009–16." International Journal for Quality in Health Care 32, no. 1 (2020): A9—A17. http://dx.doi.org/10.1093/intqhc/mzz099.

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Abstract Objective To assess national trends in patient safety culture in Taiwan. Design A safety attitudes questionnaire (SAQ) was distributed to 144 hospitals from 2009 to 2016 (n = 392 341). Setting Taiwan’s medical centers, regional hospitals and community hospitals. Participants Hospital staff in Taiwan. Interventions None. Main Outcome Measures 5-point Likert scale to assess changes in patient safety culture dimensions (teamwork, safety climate, job satisfaction, stress recognition, management and working conditions) converted to positive response rate (percentage of respondents who answered slightly agree or strongly agree on Likert scale). Results Dimensions for patient safety culture significantly increased in Taiwan over a period of 8 years, with an all-composite improvement in positive response rate of 4.6% (P < 0.001). Regional hospitals and community hospitals registered an all-composite improvement of 6.7 and 7.0%, respectively, while medical centers improved by 4.0%. Improvements for regional and community hospitals primarily occurred in teamwork (regional hospitals, 10.4% [95% confidence interval [CI], 10.2–10.6]; community hospitals, 8.5% [95% CI, 8.0–9.0]) and safety climate (regional hospitals, 11.1% [95% [CI], 10.9–11.4]; community hospitals, 11.3% [95% CI, 10.7–11.8]) (P < 0.001, all differences). Compared with nurses (5.1%) and pharmaceutical staff (10.6%), physicians improved the least (2.0%). Improvements for nurses and pharmacists were driven by increases in perceptions of teamwork (nurses, 9.8% [95% CI, 9.7–10.0]; pharmaceutical staff, 14.2% [95% CI, 13.4–14.9]) and safety climate (nurses, 9.0% [95% CI, 8.8–9.1]; pharmaceutical staff, 16.4% [95% CI, 15.7–17.2]) (P < 0.001, all differences). At study end, medical centers (55.1%) had greater all-composite measurements of safety culture than regional hospitals (52.4%) and community hospitals (52.2%) while physicians (63.7%) maintained greater measurements of safety culture than nurses (52.1%) and pharmaceutical staff (56.6%). Conclusion These results suggest patient safety culture improved in Taiwan from 2009 to 2016.
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39

Ráczkevy-Deák, Gabriella. "Hospital Security: Hospitals and Terrorism." Belügyi Szemle 68, no. 2 (2020): 85–96. http://dx.doi.org/10.38146/bsz.spec.2020.2.6.

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Hospitals are part of the critical infrastructure and are incredibly vulnerable. Unexpected events may hinder the functioning of institutions, causing severe damage and loss of asset value and quality of service. Every hospital should be prepared for such incidents with well-developed plans and strategies. A hospital can be an ideal target for a terrorist, because a lot of civilians are taken care of (and are open) 24 hours a day, seven days a week. Unfortunately, in recent years have taken place more and more terrorist acts. (eg: 13th November 2015 Paris, and 22nd March 2016., Brussels). How are hospitals prepared for these events in Hungary and abroad? Are the Hospitals Disaster Management Plans sufficient? What kind of terrorist attacks can occur in a hospital (e.g. cyber terrorism)? In my essay I am looking for the answers to these questions and introducing the concept of hospital safety and security.
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Blum, Jonathan D., Patrick H. Conway, and Jordan M. VanLare. "Safety-Net Hospitals: Other Hospitals Score Similarly on Patient Experience." JAMA Internal Medicine 173, no. 5 (2013): 389. http://dx.doi.org/10.1001/jamainternmed.2013.2158.

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41

Larasati, Andryani, and Inge Dhamanti. "Literature Review: Implementation of Patient Safety Goals in Hospitals in Indonesia." Media Gizi Kesmas 10, no. 1 (2021): 138. http://dx.doi.org/10.20473/mgk.v10i1.2021.138-148.

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Background: The implementation of a good patient safety system in the hospital aims to minimize and prevent patient safety incidents. The patient safety goals is a system that aims to encourage specific improvements in patient safety. Patient safety goals are actions that must be taken by the hospital to prevent patient safety incidents that can harm patients and the hospital. Purpose: Writing this review article aims to provide an overview of the implementation of patient safety goals in hospitals in Indonesia.Methods: The method used in this article is a literature review. Article searches were conducted through Google Scholar and Portal Garuda with the keywords "patient safety goals", "hospitals", and "Indonesia". Results: The total findings of the articles were 738, but only 11 articles matched the inclusion criteria. Based on 11 articles analyzed, only 2 articles showed that the implementation of all points in the patient safety goals in the hospital had reached the target and were in accordance with the standard. Conclusion: Low compliance of officers, unsupportive facilities and infrastructure, and low management commitment are some of the factors that have not yet optimalized the implementation of patient safety goals in the hospital. Therefore, it is necessary to improve technical assistance, supervision, and support for adequate facilities and infrastructure.Keywords: patient safety goals, patient safety incidents, hospital.
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42

HIRAYAMA, MASARU. "For Better Safety Management in Hospitals." JOURNAL OF THE JAPANESE ASSOCIATION OF RURAL MEDICINE 53, no. 6 (2005): 932–36. http://dx.doi.org/10.2185/jjrm.53.932.

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43

MOON, MARY ANN. "Patients Dissatisfied With Safety-Net Hospitals." Family Practice News 42, no. 13 (2012): 58. http://dx.doi.org/10.1016/s0300-7073(12)70570-4.

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44

TUCKER, MIRIAM E. "P4P May Harm Safety-Net Hospitals." Family Practice News 38, no. 11 (2008): 2. http://dx.doi.org/10.1016/s0300-7073(08)70693-5.

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45

Granel, Nina, Josep Maria Manresa-Domínguez, Anita Barth, Katalin Papp, and Maria Dolors Bernabeu-Tamayo. "Patient safety culture in Hungarian hospitals." International Journal of Health Care Quality Assurance 32, no. 2 (2019): 412–24. http://dx.doi.org/10.1108/ijhcqa-02-2018-0048.

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Purpose The Hospital Survey on Patient Safety Culture (HSOPSC) is a rigorously designed tool for measuring inpatient safety culture. The purpose of this paper is to develop a cross-cultural HSOPSC for Hungary and determine its strengths and weaknesses. Design/methodology/approach The original US version was translated and adapted using existing guidelines. Healthcare workers (n=371) including nurses, physicians and other healthcare staff from six Hungarian hospitals participated. Answers were analyzed using exploratory factor analyses and reliability tests. Findings Positive responses in all dimensions were lower in Hungary than in the USA. Half the participants considered their work area “acceptable” regarding patient safety. Healthcare staff worked in “crisis mode,” trying to accomplish too much and too quickly. The authors note that a “blame culture” does not facilitate patient safety improvements in Hungary. Practical implications The results provide valuable information for promoting a more positive patient safety culture in Hungary and for evaluating future strategies to improve patient safety. Originality/value Introducing a validated scale to measure patient safety culture in Hungary improves healthcare quality.
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Hwang, Soo-Hee, Myung-Hwa Kim, and Choon-Seon Park. "Patient safety practices in Korean hospitals." Quality Improvement in Health Care 22, no. 2 (2016): 43–73. http://dx.doi.org/10.14371/qih.2016.22.2.43.

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47

Suliman, Mohammad, Maen Aljezawi, Mohammed AlBashtawy, Joyce Fitzpatrick, Sami Aloush, and Khitam Al-Awamreh. "Exploring Safety Culture in Jordanian Hospitals." Journal of Nursing Care Quality 32, no. 3 (2017): E1—E7. http://dx.doi.org/10.1097/ncq.0000000000000218.

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48

Schneider, Philip J. "Measuring Medication Safety in Hospitals Introduction." American Journal of Health-System Pharmacy 59, no. 23 (2002): 2313–14. http://dx.doi.org/10.1093/ajhp/59.23.2313.

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49

Farnsworth, Bill, Tom Cox, Eamonn Ferguson, and Sue Cox. "Managing health and safety in hospitals." British Journal of Nursing 3, no. 16 (1994): 831–36. http://dx.doi.org/10.12968/bjon.1994.3.16.831.

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50

Neuhausen, Katherine, and Mitchell H. Katz. "Patient Satisfaction and Safety-Net Hospitals." Archives of Internal Medicine 172, no. 16 (2012): 1202. http://dx.doi.org/10.1001/archinternmed.2012.3175.

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