International Journal for Quality in Health Care最新文献

Background: Medications are a major cause of harm to patients in hospitals, and several studies have found that they cause approximately 20% of injuries that occur in medical institutions. It was found that the rate of adverse drug events (ADEs) in pediatric hospitalizations ranges from 11 to 40 events per 100 hospitalizations and 1% of cases caused death.

Objectives: This is a comparative and retrospective study. The overarching objective is to adapt the Pediatric Trigger Tool (PTT) of the "Child Health Corporation of America" to pediatric wards in Israel, with the intention of using it to assess the rate of adverse events that occur during medication given in pediatric wards. The study characterized ADEs and examined the ability of the PTT to identify ADEs in relation to those that were voluntarily reported by the staff.

Method: This study included internal and surgical pediatric wards at an academic pediatric medical center. The PTT was validated on medical record data from 700 hospitalizations between the years 2015 and 2017. The study also determined, among other things: the stage of drug administration at which the events occurred, the percentage of all events that could have been prevented, the degrees of damage the ADE caused and more.

Results: The Positive Predictive Value of the customized tool stands at 16.91%. The study found 108 ADEs in 78 hospitalizations. The ADE rate per 100 hospitalizations was 15.4, the ADE rate per 1000 drug doses was 3.9, and the ADE rate per 1000 hospitalization days was 22.8, of which 18.5% were preventable. The category of drugs that led to the highest number of ADEs was painkillers. Those ADEs led to a large number of adverse clinical effects: constipation, hypokalemia, vomiting, and rash. The most common reason for coming to the hospital was suspicion or treatment of a hematologic disease, followed by hospitalization due to a burn. The customized tool found 10.8 times more ADEs than those reported voluntarily-subjectively by the clinical staff.

Conclusions: The study found that, properly adapted, the PTT tool can be used to detect ADEs in internal and surgical pediatric wards.

Hospitals require continuous process optimization to ensure uninterrupted care. This study investigates the integration of Real-Time Locating Systems (RTLS) with logistics and dispatch management in a metropolitan hospital. The system, which tracks circulating beds and medical equipment, improves resource allocation, reduces inefficiencies, and enhances task distribution using wearable devices and big data analytics. Results showed a 20.9% reduction in delivery time, 86.8% faster equipment search, and 91.2% staff satisfaction with zero adverse event recurrence. The findings underscore RTLS's potential to enhance medical quality, efficiency, and patient safety through digital technology adoption.

Background: Hospitals face mounting pressure to reduce unplanned utilization amid rising healthcare demands from an aging population. The Case management for At-Risk patients in the Emergency Department (CARED) program is among the first ED transitional care strategies to focus on both frail older adults and emergency department (ED) re-attenders to reduce acute hospital utilization. This study aims to evaluate the effectiveness of the CARED program in reducing hospital (re)admissions and ED re-attendances within 30- and 60 days post-discharge.

Methods: A retrospective, propensity-matched study was conducted from April 2022 to July 2023 in the ED of Ng Teng Fong General Hospital in Singapore. The CARED program identifies and enrols at-risk patients, i.e. frail older adults and patients who re-attend the ED within 30 days of hospital discharge, for a geriatric assessment. This is followed by multidisciplinary team care, discharge planning and right siting of care from the ED to community-based services by ED case managers. The primary outcomes were hospital (re)admissions and ED re-attendances within 30- and 60 days post-discharge. Secondary outcomes were cost avoidance and bed occupancy days from reduced acute hospital usage.

Results: Nearest-neighbour 1:1 propensity score matching matched 1615 intervention group to 1615 control group. Baseline characteristics of the intervention and control groups did not differ significantly. Difference-in-differences (DID) analyses showed significantly lower 30-day (3.96%; 95% CI 2.71-5.23%) and 60-day (6.69%; 95% CI 5.47-7.91%) hospital admissions, as well as 30-day (4.89%; 95% CI 3.83-5.95%) and 60-day (6.50%; 95% CI 5.28-7.72%) ED re-attendances in the intervention group compared to the control group. Additionally, the reduced admission and ED re-attendance rates resulted in 30-day and 60-day inpatient admission costs avoidance [$1 553 548.96 (69.86%); 95% CI $1 525 827.76 to $1 581 270.15; P = .006; and $1 400 047.07 (32.56%); 95% CI $1 365 484.79 to $1434 609.37; P = .048, respectively], ED attendance costs avoidance [$25 849.92 (23.70%); 95% CI $25 091.93 to $26 607.89; P = .096; and $37 538.39 (18.09%); 95% CI $36 470.27 to $38 606.53; P = .086, respectively] and bed occupancy days saved (1212 days; 95% CI 1191.80 days to 1232.20 days; P = .003; and 1267 days; 95% CI 1242.58 days to 1291.42 days; P = .011, respectively).

Conclusion: CARED program effectively reduced unplanned hospital use within 30- and 60 days post-ED discharge for at-risk patients. It also significantly lowered inpatient admission and ED attendance costs and hospital bed occupancy days, highlighting its potential to improve patient outcomes and reduce healthcare expenses.

Background: Despite an epidemic of end-stage kidney disease in the Australian Aboriginal and Torres Strait Islander population, disparities in access to kidney transplantation persist. The journey to a successful kidney transplant is long, with an initial suitability assessment required before waitlist-specific activities begin. In an Aboriginal Community Controlled renal service, we aimed to: (i) design and implement a continuous quality improvement (CQI) approach to transplant suitability assessment, (ii) provide transplant suitability assessments for all patients of the service, (iii) describe what temporary contraindications to kidney transplantation should be the focus of health service improvements, (iv) explore participant experiences with the suitability assessment process, and (v) use our findings to inform pre- and post-transplant model of care development within Kimberley Renal Services.

Methods: Mixed methods design with file review. Transplant suitability assessment results with descriptive analysis and semi-structured interview with thematic analysis.

Results: Of completed assessments, 20/66 (30%) had no contraindications and were cleared for workup with median time on dialysis prior to assessment of 2.9 years, 42/66 (64%) had temporary contraindications, and 4/66 (6%) had permanent contraindications. Eighty-five temporary contraindications were identified in 46 individuals: 17/46 had both medical and nonmedical contraindications, 5/46 had medical contraindications only, and 24/46 had nonmedical contraindications only. The most common temporary contraindications were smoking (23/46), treatment adherence (17/46), and high body mass index (11/46). Patients wanted more information on the transplant process, and interviewers noted the importance of providing information in an appropriate way. Patients wanted more support to address modifiable health risk factors to improve their chances of future transplantation.

Conclusions: In the first stages of our CQI approach to improving access to kidney transplants for Kimberley Aboriginal people, we achieved substantial catch-up in suitability assessments and a comprehensive summary of factors impacting successful waitlisting. Our results are consistent with, and build upon other work in this space, highlighting the importance of involving Aboriginal staff and patients in education and support for prospective recipients.

Background: Hospitals face mounting pressure to reduce unplanned utilization amid rising healthcare demands from an aging population. The Case management for At-Risk patients in the Emergency Department (CARED) program is among the first ED transitional care strategies to focus on both frail older adults and emergency department (ED) re-attenders to reduce acute hospital utilization. This study aims to evaluate the effectiveness of the CARED program in reducing hospital (re)admissions and ED re-attendances within 30- and 60 days post-discharge.

Methods: A retrospective, propensity-matched study was conducted from April 2022 to July 2023 in the ED of Ng Teng Fong General Hospital in Singapore. The CARED program identifies and enrols at-risk patients, i.e. frail older adults and patients who re-attend the ED within 30 days of hospital discharge, for a geriatric assessment. This is followed by multidisciplinary team care, discharge planning and right siting of care from the ED to community-based services by ED case managers. The primary outcomes were hospital (re)admissions and ED re-attendances within 30- and 60 days post-discharge. Secondary outcomes were cost avoidance and bed occupancy days from reduced acute hospital usage.

Results: Nearest-neighbour 1:1 propensity score matching matched 1615 intervention group to 1615 control group. Baseline characteristics of the intervention and control groups did not differ significantly. Difference-in-differences (DID) analyses showed significantly lower 30-day (3.96%; 95% CI 2.71-5.23%) and 60-day (6.69%; 95% CI 5.47-7.91%) hospital admissions, as well as 30-day (4.89%; 95% CI 3.83-5.95%) and 60-day (6.50%; 95% CI 5.28-7.72%) ED re-attendances in the intervention group compared to the control group. Additionally, the reduced admission and ED re-attendance rates resulted in 30-day and 60-day inpatient admission costs avoidance [$1 553 548.96 (69.86%); 95% CI $1 525 827.76 to $1 581 270.15; P = .006; and $1 400 047.07 (32.56%); 95% CI $1 365 484.79 to $1434 609.37; P = .048, respectively], ED attendance costs avoidance [$25 849.92 (23.70%); 95% CI $25 091.93 to $26 607.89; P = .096; and $37 538.39 (18.09%); 95% CI $36 470.27 to $38 606.53; P = .086, respectively] and bed occupancy days saved (1212 days; 95% CI 1191.80 days to 1232.20 days; P = .003; and 1267 days; 95% CI 1242.58 days to 1291.42 days; P = .011, respectively).

Conclusion: CARED program effectively reduced unplanned hospital use within 30- and 60 days post-ED discharge for at-risk patients. It also significantly lowered inpatient admission and ED attendance costs and hospital bed occupancy days, highlighting its potential to improve patient outcomes and reduce healthcare expenses.

Background: Despite an epidemic of End-Stage Kidney Disease in the Australian Aboriginal and Torres Strait Islander population, disparities in access to kidney transplantation persist. The journey to successful kidney transplant is long, with an initial suitability assessment required before waitlist-specific activities begin. In an Aboriginal Community Controlled renal service, we aimed to: 1.) Design and implement a continuous quality improvement (CQI) approach to transplant suitability assessment2.) Provide transplant suitability assessments for all patients of the service3.) Describe what temporary contraindications to kidney transplantation should be the focus of health service improvements4.) Explore participant experiences with the suitability assessment process and:5.) Use our findings to inform pre-and post-transplant model of care development within Kimberley Renal Services.

Methods: Mixed methods design with file review. Transplant suitability assessment results with descriptive analysis, semi-structured interview with thematic analysis.

Results: Of completed assessments, 20/66 (30%) had no contraindications and were cleared for workup with median time on dialysis prior to assessment of 2.9 years, 42/66 (64%) had temporary contraindications, and 4/66 (6%) had permanent contraindications. Eighty-five temporary contraindications were identified in 46 individuals: 17/46 had both medical and non-medical contraindications, 5/46 had medical contraindications only, and 24/46 had non-medical contraindications only. The most common temporary contraindications were smoking (23/46), treatment adherence (17/46) and high body mass index (BMI) (11/46). Patients wanted more information on the transplant process, and interviewers noted the importance of providing information in an appropriate way. Patients wanted more support to address modifiable health risk factors to improve their chances of future transplantation.

Conclusions: In the first stages of our CQI approach to improving access to kidney transplants for Kimberley Aboriginal people we achieved substantial catch-up in suitability assessments, and a comprehensive summary of factors impacting successful waitlisting. Our results are consistent with, and build upon other work in this space, highlighting the importance of involving Aboriginal staff and patients in education and support for prospective recipients.

Introduction Human errors are a leading cause of disability and death among hospitalized patients. Globally, various strategies have been employed to reduce errors and to improve the quality of patient care. One such novel effort never attempted before is the Health-QUEST (Quality Upgradation Enabled by Space Technology) initiative which aims at translating the best quality and safety practices of the Indian Space Research Organization (ISRO) into the realm of emergency care. The objective of this quality improvement initiative was to understand the performance of ED across India using key performance indicators (KPI) specified in HQ (Health Quest) document, adoptability of HQ based practices in hospitals and their effect on KPI. Methods A pre- and post-intervention study design was used where each hospital served as its own control. Preintervention phase captured the time-based key performance indicators based on their existing practice, followed by implementation and training on QUEST recommendations and the post intervention phase assessed any improvement in the KPIs. Data was collected in real-time using REDCap mobile application by scanning the patient wrist bands. The time based KPIs include Door to triage time, Door to doctor time, Door to needle time, Door to pain assessment time, Door to ordering of investigation time, Time from ordering to first review of investigation, Door to discharge/disposition time. Results Seventeen hospitals were invited to participate in this quality improvement initiative, with 14 hospitals completing pilot training for real time data collection. Among them, 10 hospitals participated in the pre and post intervention data collection contributing to 10,332 patients (5296 patients during the pre-intervention and 5036 during the post intervention phase). All the hospitals had a median triage time of less than 5 minutes. Nine out of the ten hospitals recorded a baseline median discharge time of around 2 hours. The most significant reductions in time (mean difference between pre- and post-intervention) were observed in triage time (11 minutes, p < 0.05), door-to-pain assessment time (23 minutes, p < 0.05), time from ordering to first review of investigation (26 hours, p < 0.05), and disposition time (1 hour and 30 minutes, p < 0.05) Conclusion This study evaluated real-time, time-based KPIs in patient management across emergency departments in India. The Health-QUEST program proved to be a straightforward and effective model, achieving significant improvements in multiple time-based KPIs across participating EDs.