Project description:Background and objectivesGeneral practitioners (GPs), nurses and medical secretaries (practice staff) are responsible for the continuous provision of safe care in rural general practice. Little is known about their role in situations where patients were or could have been harmed in a rural setting. Therefore, we sought to investigate rural general practice staff experiences of patient safety incidents and low quality of care.MethodsDescriptive qualitative interviews using the critical incident technique. Systematic text condensation analysis involving GPs and practice staff in eight rural municipalities in Norway.ResultsSixteen participants (eight GPs, one nurse and seven medical secretaries) with mean work experience of 11.8 years were interviewed for a total of 11.5 hours. We identified three main factors that make rural GP clinics vulnerable to patient safety incidents and low quality of care: use of locums, work overload and rough weather and distance to hospital. There was a wide range of patient safety incidents. The healthcare personnel explained how they used local knowledge about people and context and greater awareness of risk of error in order to prevent these incidents from happening.ConclusionRural GP clinics that suffer from frequent use of GP locums and work overload are vulnerable to patient safety incidents. Practice staff use various forms of continuity of care to prevent safety incidents from happening; this highlights the strengths but also some major safety concerns in these GP clinics. Staff at these clinics proved to be a resource for patient safety research.PodcastAn accompanying podcast on patient safety is available as Supplementary Data, in which Martin Bruusgaardf Harbitz and Per Stensland provide insights into the context of this study.
Project description:BACKGROUND:This study aimed to determine whether publicized hospital rankings can be used to predict surgical outcomes. METHODS:Patients undergoing one of nine surgical procedures were identified, using the Healthcare Cost and Utilization Project State Inpatient Database for Florida and New York 2011-2013 and merged with hospital data from the American Hospital Association Annual Survey. Nine quality designations were analyzed as possible predictors of inpatient mortality and postoperative complications, using logistic regression, decision trees, and support vector machines. RESULTS:We identified 229,657 patients within 177 hospitals. Decision trees were the highest performing machine learning algorithm for predicting inpatient mortality and postoperative complications (accuracy 0.83, P<.001). The top 3 variables associated with low surgical mortality (relative impact) were Hospital Compare (42), total procedure volume (16) and, Joint Commission (12). When analyzed separately for each individual procedure, hospital quality awards were not predictors of postoperative complications for 7 of the 9 studied procedures. However, when grouping together procedures with a volume-outcome relationship, hospital ranking becomes a significant predictor of postoperative complications. CONCLUSION:Hospital quality rankings are not a reliable indicator of quality for all surgical procedures. Hospital and provider quality must be evaluated with an emphasis on creating consistent, reliable, and accurate measures of quality that translate to improved patient outcomes.
Project description:Assessing the groundwater quality at a Saudi Arabian agricultural site and the occurrence of antibiotic-resistant opportunistic pathogens on irrigated food produce
Project description:BackgroundA lack of patient safety is a significant global public health challenge and is one of the leading causes of death and disability, entailing significant financial and economic costs. However, patient safety can be improved and patients can avoid being harmed if more knowledge could be gained about what it is that impacts patient safety. Patient safety when receiving telephone advice is an important issue given the increase in digitalization in healthcare services.AimThe aim of this study was to explore district nurses' ("telenurses") experiences and perceptions of patient safety when providing health advice over the phone.MethodsData collection was performed using semi-structured interviews and analyzed using qualitative content analysis. The participants (n = 12) were telnurses in primary care.ResultsThe theme "Being able to make the right decision" was formed based on two categories: "Communication" and "Assessment". Through effective communication with the right conditions to make an assessment, the correct decision can be made when a patient calls, and the district nurse feels that their telephone advice is safe for the patient.ConclusionsPatient safety can be challenged when receiving telephone advice, particularly when they feel stressed due to organizational factors. There is a need to shift from the individual to the organization. Further, while computerized knowledge support generally results in safe decisions, there may also be problems. Hence, it is imperative to develop computerized knowledge support as a part of improved patient safety in telephone advice.