Process evaluation of the effects of patient safety auditing in hospital care (part 2).
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SUBMITTER: Hanskamp-Sebregts M
PROVIDER: S-EPMC6819993 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo evaluate the effectiveness of internal auditing in hospital care focussed on improving patient safety.Design, setting and participantsA before-and-after mixed-method evaluation study was carried out in eight departments of a university medical center in the Netherlands.Intervention(s)Internal auditing and feedback focussed on improving patient safety.Main outcome measure(s)The effect of internal auditing was assessed 15 months after the audit, using linear mixed models, on the patient, professional, team and departmental levels. The measurement methods were patient record review on adverse events (AEs), surveys regarding patient experiences, safety culture and team climate, analysis of administrative hospital data (standardized mortality rate, SMR) and safety walk rounds (SWRs) to observe frontline care processes on safety.ResultsThe AE rate decreased from 36.1% to 31.3% and the preventable AE rate from 5.5% to 3.6%; however, the differences before and after auditing were not statistically significant. The patient-reported experience measures regarding patient safety improved slightly over time (P < 0.001). The SMR, patient safety culture and team climate remained unchanged after the internal audit. The SWRs showed that medication safety and information security were improved (P < 0.05).ConclusionsInternal auditing was associated with improved patient experiences and observed safety on wards. No effects were found on adverse outcomes, safety culture and team climate 15 months after the internal audit.
| S-EPMC6839373 | biostudies-literature
Project description:BackgroundAudits are increasingly used for patient safety governance purposes. However, there is little insight into the factors that hinder or stimulate effective governance based on auditing. The aim of this study is to quantify the factors that influence effective auditing for hospital boards and executives.MethodsA questionnaire of 32 factors was developed using influencing factors found in a qualitative study on effective auditing. Factors were divided into four categories. The questionnaire was sent to the board of directors, chief of medical staff, nursing officer, medical department head and director of the quality and safety department of 89 acute care hospitals in the Netherlands.ResultsWe approached 522 people, of whom 211 responded. Of the 32 factors in the questionnaire, 30 factors had an agreement percentage higher than 50%. Important factors per category were 'audit as an improvement tool as well as a control tool', 'department is aware of audit purpose', 'quality of auditors' and 'learning culture at department'. We found 14 factors with a significant difference in agreement between stakeholders of at least 20%. Amongst these were 'medical specialist on the audit team', 'soft signals in the audit report', 'patients as auditors' and 'post-audit support'.ConclusionWe found 30 factors for effective auditing, which we synthesised into eight recommendations to optimise audits. Hospitals can use these recommendations as a framework for audits that enable boards to become more in control of patient safety in their hospital.
| S-EPMC6195966 | biostudies-literature
Project description:ObjectiveTo investigate new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals.Data sourcesCalifornia Patient Discharge Database (PDD) and birth registry, 2008-2009, Healthcare and Cost Utilization Project's State Inpatient Database, 2008-2011, cancer registry 2000-2008, and 2010 US Census Summary File 2.Study designWe examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. Metrics were created to measure root mean squared differences (RMSD) by hospital between reported R/E distribution and R/E estimates using R/E distribution within each patient's zip code of residence. RMSD comparisons were made to corresponding "gold standard" facility-level measures within the maternal cohort for California and six comparison states.Data collectionMaternal birth hospitalization (linked to the state birth registry) and cancer cohort records linked to preceding and subsequent hospitalizations. Hospital discharges were linked to the corresponding Census zip code tabulation area using patient zip code.Principal findingsOverall agreement between the PDD and the gold standard for the maternal cohort was 86 percent for the combined R/E measure and 71 percent for race alone. The RMSD measure is modestly correlated with the summary level gold standard measure for R/E (r = 0.44). The RMSD metric revealed general improvement in data agreement and completeness across states. "Other" and "unknown" categories were inconsistently applied within inpatient databases.ConclusionsComparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting. Further work should focus on using more granular geocoded data for estimates and tracking data to improve hospital collection of R/E data.
| S-EPMC4545337 | biostudies-literature
Project description:Massachusetts' health care reform substantially decreased the percentage of uninsured residents. However, less is known about how reform affected access to care, especially according to insurance type.To assess access to care in Massachusetts after implementation of health care reform, based on insurance status and type.We surveyed a convenience sample of 431 patients presenting to the Emergency Department of Massachusetts' second largest safety net hospital between July 25, 2009 and March 20, 2010.Demographic and clinical characteristics, insurance coverage, measures of access to care and cost-related barriers to care.Patients with Commonwealth Care and Medicaid, the two forms of insurance most often newly-acquired under the reform, reported similar or higher utilization of and access to outpatient visits and rates of having a usual source of care, compared with the privately insured. Compared with the privately insured, a significantly higher proportion of patients with Medicaid or Commonwealth Care Type 1 (minimal cost sharing) reported delaying or not getting dental care (42.2 % vs. 27.1 %) or medication (30.0 % vs. 7.0 %) due to cost; those with Medicaid also experienced cost-related barriers to seeing a specialist (14.6 % vs. 3.5 %) or getting recommended tests (15.6 % vs. 5.9 %). Those with Commonwealth Care Types 2 and 3 (greater cost sharing) reported significantly more cost-related barriers to obtaining care than the privately insured (45.0 % vs. 16.0 %), to seeing a primary care doctor (25.0 % vs. 6.0 %) or dental provider (58.3 % vs. 27.1 %), and to obtaining medication (20.8 % vs. 7.0 %). No differences in cost-related barriers to preventive care were found between the privately and publicly insured.Access to care improved less than access to insurance following Massachusetts' health care reform. Many newly insured residents obtained Medicaid or state subsidized private insurance; cost-related barriers to access were worse for these patients than for the privately insured.
| S-EPMC3475814 | biostudies-other
Project description:ImportanceSurvival rates after in-hospital cardiac arrest (IHCA) vary significantly among US centers; whether this variation is owing to differences in IHCA care quality is unknown.ObjectiveTo evaluate hospital-level variation to determine whether hospital process composite performance measures of IHCA care quality are associated with patient outcomes.Design, setting, and participantsUsing data from the American Heart Association's Get With the Guidelines-Resuscitation (GWTG-R) program, we analyzed 35 283 patients 18 years or older with IHCA treated at 261 US hospitals from January 1, 2010, through December 31, 2012. We calculated the hospital process composite performance score for IHCA using 5 guideline-recommended process measures. Opportunity-based scores were calculated for all patients, aggregated at the hospital level, divided into quartiles, and then associated with risk-standardized survival and neurologic status by a test for trend. The scores were then evaluated through hierarchical logistic regression and reported as odds ratios per 10% increment in hospital process composite performance.InterventionsAcute care treatments for IHCA.Main outcomes and measuresThe primary outcome was survival to discharge measured as risk standard survival rates, and the secondary outcome was favorable neurologic status at hospital discharge.ResultsOf the 35 283 adults included in this study, the median age was 67 years (interquartile range [IQR] 56-78 years), and 57.9% were male. The median IHCA hospital process composite performance was 89.7% (interquartile range, 85.4%-93.1%) and varied among hospital quartiles from 82.6% (lowest) to 94.8% (highest). The IHCA hospital process composite performance was linearly associated with risk-standardized hospital survival to discharge rates: 21.1%, 21.4%, 22.8%, and 23.4% from lowest to highest performance quartiles, respectively (P < .001). After adjustment, each 10% increase in a hospital's process composite performance was associated with a 22% higher odds of survival (adjusted odds ratio, 1.22; 95% CI, 1.08-1.37; P = .01). Hospital process composite quality performance was also associated with favorable neurologic status at discharge (P = .004).Conclusions and relevanceThe quality of guideline-based care for IHCA varies significantly among US hospitals and is associated with patient survival and neurologic outcomes.
| S-EPMC6545891 | biostudies-literature
Project description:ObjectiveTo develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data.DesignProspective multicentre, multinational cohort study.Patients and settingA total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002.Measurements and resultsICU admission data (recorded within +/-1 h) were used, describing: prior chronic conditions and diseases; circumstances related to and physiologic derangement at ICU admission. Selection of variables for inclusion into the model used different complementary strategies. For cross-validation, the model-building procedure was run five times, using randomly selected four fifths of the sample as a development- and the remaining fifth as validation-set. Logistic regression methods were then used to reduce complexity of the model. Final estimates of regression coefficients were determined by use of multilevel logistic regression. Variables selection and weighting were further checked by bootstraping (at patient level and at ICU level). Twenty variables were selected for the final model, which exhibited good discrimination (aROC curve 0.848), without major differences across patient typologies. Calibration was also satisfactory (Hosmer-Lemeshow goodness-of-fit test H=10.56, p=0.39, C=14.29, p=0.16). Customized equations for major areas of the world were computed and demonstrate a good overall goodness-of-fit.ConclusionsThe SAPS 3 admission score is able to predict vital status at hospital discharge with use of data recorded at ICU admission. Furthermore, SAPS 3 conceptually dissociates evaluation of the individual patient from evaluation of the ICU and thus allows them to be assessed at their respective reference levels.
| S-EPMC1315315 | biostudies-literature
Project description:ObjectiveAs healthcare organisations endeavour to improve the quality and safety of their services, there is increasing recognition of the importance of building a culture of safety to promote patient safety and improve the outcomes of patient care. Surveys of safety culture/climate have not knowingly been conducted in Kuwait public hospitals, nor are valid or reliable survey instruments available for this context. This study aims to investigate the psychometric properties of the HSOPSC (Hospital Survey on Patient Safety Culture) tool in Kuwaiti public hospitals in addition to constructing an optimal model to assess the level of safety climate in this setting.DesignCross-sectional study.SettingThree public hospitals in Kuwait.ParticipantsAbout 1317 healthcare professionals.Main outcome measureAn adapted and contextualised version of HSOPSC was used to conduct psychometric evaluation including exploratory factor analysis, confirmatory factor analysis reliability and correlation analysis.Results1317 questionnaires (87%) were returned. Psychometric evaluation, showed an optimal model of eight factors and 22 safety climate items. All items have strong factor loadings (0.42-0.86) and are theoretically related. Reliability analysis showed satisfactory results (α >0.60).ConclusionsThis is the first validation study of a standardised safety climate measure in a Kuwaiti healthcare setting. An optimal model for assessing patient safety climate was produced that mirrors other international studies and which can be used for measuring the prevailing safety climate. More importance should be attached to the psychometric fidelity of safety climate questionnaires before extending their use in other healthcare culture and contexts internationally.
| S-EPMC6549604 | biostudies-literature
Project description:ObjectiveDevelop an improved method for auditing hospital cost and quality.Data sources/settingMedicare claims in general, gynecologic and urologic surgery, and orthopedics from Illinois, Texas, and New York between 2004 and 2006.Study designA template of 300 representative patients was constructed and then used to match 300 patients at hospitals that had a minimum of 500 patients over a 3-year study period.Data collection/extraction methodsFrom each of 217 hospitals we chose 300 patients most resembling the template using multivariate matching.Principal findingsThe matching algorithm found close matches on procedures and patient characteristics, far more balanced than measured covariates would be in a randomized clinical trial. These matched samples displayed little to no differences across hospitals in common patient characteristics yet found large and statistically significant hospital variation in mortality, complications, failure-to-rescue, readmissions, length of stay, ICU days, cost, and surgical procedure length. Similar patients at different hospitals had substantially different outcomes.ConclusionThe template-matched sample can produce fair, directly standardized audits that evaluate hospitals on patients with similar characteristics, thereby making benchmarking more believable. Through examining matched samples of individual patients, administrators can better detect poor performance at their hospitals and better understand why these problems are occurring.
| S-EPMC4213044 | biostudies-literature
Project description:To examine the effects of safety net hospital (SNH) closure and for-profit conversion on uninsured, Medicaid, and racial/ethnic minorities. DATA SOURCES/EXTRACTION METHODS: Hospital discharge data for selected states merged with other sources.We examined travel distance for patients treated in urban hospitals for five diagnosis categories: ambulatory care sensitive conditions, referral sensitive conditions, marker conditions, births, and mental health and substance abuse. We assess how travel was affected for patients after SNH events. Our multivariate models controlled for patient, hospital, health system, and neighborhood characteristics.Our results suggested that certain groups of uninsured and Medicaid patients experienced greater disruption in patterns of care, especially Hispanic uninsured and Medicaid women hospitalized for births. In addition, relative to privately insured individuals in SNH event communities, greater travel for mental health and substance abuse care was present for the uninsured.Closure or for-profit conversions of SNHs appear to have detrimental access effects on particular subgroups of disadvantaged populations, although our results are somewhat inconclusive due to potential power issues. Policy makers may need to pay special attention to these patient subgroups and also to easing transportation barriers when dealing with disruptions resulting from reductions in SNH resources.
| S-EPMC3272769 | biostudies-literature
Project description:BackgroundEvidence suggests that patients can meaningfully feed back to healthcare providers about the safety of their care. The PRASE (Patient Reporting and Action for a Safe Environment) intervention provides a way to systematically collect feedback from patients to support service improvement. The intervention is being implemented in acute care settings with patient feedback collected by hospital volunteers for the first time.ObjectiveTo undertake a formative evaluation which explores the feasibility and acceptability of the PRASE intervention delivered in collaboration with hospital volunteers from the perspectives of key stakeholders.DesignA qualitative evaluation design was adopted across two acute NHS trusts in the UK between July 2014 and November 2015. We conducted five focus groups with hospital volunteers (n=15), voluntary services and patient experience staff (n=3) and semi-structured interviews with ward staff (n=5). Data were interpreted using framework analysis.ResultsAll stakeholders were positive about the PRASE intervention as a way to support service improvement, and the benefits of involving volunteers. Volunteers felt adequate training and support would be essential for retention. Staff concentrated on the infrastructure needed for implementation and raised concerns around sustainability. Findings were fed back to the implementation team to support revisions to the intervention moving into the subsequent summative evaluation phase.ConclusionAlthough there are concerns regarding sustainability in practice, the PRASE intervention delivered in collaboration with hospital volunteers is a promising approach to collect patient feedback for service improvement.
| S-EPMC5600221 | biostudies-literature