Quality Management in Health Care最新文献

Background and objectives: The quality of health care relies on achieving the best quality and patient safety goals, and accreditation plays a fundamental role in achieving these goals through compliance with standards that guide excellence. Accreditation also helps streamline operations and supports evidence-based quality improvement plans. This study aims to evaluate the perception of health care professionals on the accreditation process and its impact on the quality of health care and patient safety.

Methods: This is a cross-sectional questionnaire survey distributed via the SuccessFactors website and made accessible to all hospital staff.

Results: The online questionnaire was completed by 2047 participants, representing 51% of the entire hospital staff at Johns Hopkins Aramco Healthcare (JHAH). Overall analysis indicated a positive perception of accreditation benefits among health care employees (as indicated by participation in accreditation activities and/or preparation for the survey visits) and reflected on patient health care quality and safety dimensions, with an overall Likert median score of 4.0 (interquartile range = 3.7-5.0; P < .05).

Conclusion: The outcomes of our study confirm that JHAH employees perceived a positive impact of accreditation on health care quality improvement and patient safety. Also, the study supports considering accreditation as a fundamental requirement to improve health care system processes. However, it is critical to sustain quality of services over time during accreditation cycles.

Background and objectives: Continuity of care is an integral aspect of high-quality patient care in primary care settings. In the Department of Family Medicine at Mayo Clinic, providers have multiple responsibilities in addition to clinical duties or panel management time (PMT). These competing time demands limit providers' clinical availability. One way to mitigate the impact on patient access and care continuity is to create provider care teams to collectively share the responsibility of meeting patients' needs.

Methods: This study presents a descriptive characterization of patient care continuity based on provider types and PMT. Care continuity was measured by the percentage of patient a ppointments s een by a provider in their o wn c are t eam (ASOCT) with the aim of reducing the variability of provider care team continuity. The prediction method is iteratively developed to illustrate the importance of the individual independent components. An optimization model is then used to determine optimal provider mix in a team.

Results: The ASOCT percentage in current practice among care teams ranges from 46% to 68% and the per team number of MDs varies from 1 to 5 while the number of nurse practitioners and physician assistants (NP/PAs) ranges from 0 to 6. The proposed methods result in the optimal provider assignment, which has an ASOCT percentage consistently at 62% for all care teams and 3 or 4 physicians (MDs) and NP/PAs in each care team.

Conclusions: The predictive model combined with assignment optimization generates a more consistent ASOCT percentage, provider mix, and provider count for each care team.

Background and objective: Routine outcome monitoring is becoming standard in care evaluations, but costs are still underrepresented in these efforts. The primary aim of this study was therefore to assess if patient-relevant cost drivers can be used alongside clinical outcomes to evaluate an improvement project and to provide insight into (remaining) areas for improvement.

Methods: Data from patients who underwent transcatheter aortic valve implantation (TAVI) between 2013 and 2018 at a single center in the Netherlands were used. A quality improvement strategy was implemented in October 2015, and pre- (A) and post-quality improvement cohorts (B) were distinguished. For each cohort, clinical outcomes, quality of life (QoL), and cost drivers were collected from the national cardiac registry and hospital registration data. The most appropriate cost drivers in TAVI care were selected from hospital registration data using a novel stepwise approach with an expert panel of physicians, managers, and patient representatives. A radar chart was used to visualize the clinical outcomes, QoL and the selected costs drivers.

Results: We included 81 patients in cohort A and 136 patients in cohort B. All-cause mortality at 30 days was borderline significantly lower in cohort B than in cohort A (1.5% vs 7.4%, P = .055). QoL improved after TAVI for both cohorts. The stepwise approach resulted in 21 patient-relevant cost drivers. Costs for pre-procedural outpatient clinic visits (€535, interquartile range [IQR] = 321-675, vs €650, IQR = 512-890, P < .001), costs for the procedure (€1354, IQR = 1236-1686, vs €1474, IQR = 1372-1620, P < .001), and imaging during admission (€318, IQR = 174-441, vs €329, IQR = 267-682, P = .002) were significantly lower in cohort B than in cohort A. Possible improvement potential was seen in 30-day pacemaker implantation and 120-day readmission.

Conclusion: A selection of patient-relevant cost drivers is a valuable addition to clinical outcomes for use in evaluation of improvement projects and identification of room for further improvement.

Background and objectives: Docusate sodium is a commonly prescribed medication to relieve constipation, but several studies have demonstrated its ineffectiveness. Its continued use in the hospital setting adds unnecessary cost and risk to patients. At the Mayo Clinic Florida campus, docusate was ordered for 9.7% of patients admitted to the internal medicine resident (IMED) teaching services during the month of January 2020, and the average hospital length of stay (LOS) was 3.1 days.

Methods: A multidisciplinary team of internal medicine resident physicians and pharmacists collaborated to address this quality gap through a quality improvement project. It sought to reduce the number of patients admitted to the IMED teaching services who had an order placed for docusate by 50% in less than 6 months without adversely impacting hospital LOS. Two separate interventions were devised using Six Sigma methodology and implemented to reduce the frequency of docusate orders, which involved educating internal medicine residents and hospital pharmacists, and creating an additional process-related barrier to docusate orders.

Results: The percentage of docusate orders decreased from 9.7% to 2.4% ( P = .004) with a grossly unchanged LOS of 3.1 days to 2.7 days ( P = .12) after 5 weeks.

Conclusion: The implementation of a dual-pronged intervention successfully decreased the use of an ineffective medication in hospitalized patients without impacting the balancing measure, and serves as a model that can be adopted at other institutions with the hope of promoting evidence-based medical care.

Background and objective: The purpose of this study was to describe statewide perinatal quality improvement (QI) activities, specifically implementation of Alliance for Innovation on Maternal Health (AIM) patient safety bundles and use of teamwork and communication tools in obstetric units in Oklahoma and Texas.

Methods: In January-February 2020, we conducted a survey of AIM-enrolled hospitals in Oklahoma (n = 35) and Texas (n = 120) to gather data on obstetric unit organization and QI processes. Data were linked to hospital characteristics information from the 2019 American Hospital Association survey and hospitals' maternity levels of care from state agencies. We generated descriptive statistics for each state and created an index to summarize adoption of QI processes. We fitted linear regression models to examine how this index varied by hospital characteristics and self-reported ratings for patient safety and AIM bundle implementation.

Results: Most obstetric units had standardized clinical processes for obstetric hemorrhage (94% Oklahoma; 97% Texas), massive transfusion (94% Oklahoma; 97% Texas), and severe hypertension in pregnancy (97% Oklahoma; 80% Texas); regularly conducted simulation drills for obstetric emergencies (89% Oklahoma; 92% Texas); had multidisciplinary QI committees (61% Oklahoma; 83% Texas); and conducted debriefs after major obstetric complications (45% Oklahoma; 86% Texas). Few obstetric units offered recent staff training on teamwork and communication to their staff (6% Oklahoma; 22% Texas); those who did were more likely to employ specific strategies to facilitate communication, escalate concerns, and manage staff conflicts. Overall, adoption of QI processes was significantly higher in hospitals in urban than rural areas, teaching than nonteaching, offering higher levels of maternity care, with more staff per shift, and greater delivery volume (all P < .05). The QI adoption index scores were strongly associated with respondents' ratings for patient safety and implementation of maternal safety bundles (both P < .001).

Conclusions: Adoption of QI processes varies across obstetric units in Oklahoma and Texas, with implications for implementing future perinatal QI initiatives. Notably, findings highlight the need to reinforce support for rural obstetric units, which often face greater barriers to implementing patient safety and QI processes than urban units.

Background and objectives: Close monitoring of patients in the first 2 hours after cesarean delivery (CD) is crucial. Delays in shifting of the post-CD patients led to a chaotic environment in the postoperative ward, suboptimal monitoring, and inadequate nursing care. Our aim was to increase the percentage of post-CD patients shifted from transfer trolley to bed within 10 minutes of arrival in the postoperative ward from a baseline of 64% to 100%, and to maintain that rate for more than 3 weeks.

Methods: A quality improvement team including physicians, nurses, and workers was constituted. Problem analysis revealed lack of communication among the caregivers as the main cause of delay. The percentage of post-CD patients shifted from trolley to bed within 10 minutes of being wheeled into the postoperative ward out of the total number of post-CD patients transferred from the operation theater to the postoperative ward was taken as the outcome indicator for the project. Multiple Plan-Do-Study-Act cycles based on the Point of Care Quality Improvement methodology were undertaken to achieve the target. Main interventions were: 1) written information of patient being transferred to operation theater for CD sent to the postoperative ward; 2) stationing of a duty doctor in the postoperative ward; and 3) keeping a buffer of 1 vacant bed in the postoperative ward. The data were plotted weekly as a dynamic time series chart and signals of change were observed.

Results: Eighty-three percent (172 out of 206) of women were shifted in time by 3 weeks. After Plan-Do-Study-Act 4, the percentages kept improving leading to a median shift from 85.6% to 100% after 10 weeks post-initiation of the project. Sustainment was confirmed by continuing observations for 6 more weeks to ensure that the changed protocol was assimilated in the system. We found that all women were shifted within 10 minutes of their arrival in postoperative ward from trolley to bed.

Conclusion: Providing high-quality care to patients must be a priority for all health care providers. High-quality care is timely, efficient, evidence based, and patient-centric. Delays in transfer of postoperative patients to the monitoring area can be detrimental. The point of Care Quality Improvement methodology is useful and effective in solving complex problems by understanding and fixing the various contributory factors one by one. Reorganization of processes and available manpower without any extra investment in terms of infrastructure and resources is pivotal for long term success of a quality improvement project.

Background and objectives: In 2017, our French 1671-bed university hospital opened a 12-bed unit for very short stays, post-emergency (unit of transitory admission in geriatric [UTAG] area), dedicated to frail patients older than 75 years requiring short-term care. We sought to investigate whether this new organization's shortened length of stay (LOS) was associated or not with a higher rate of readmission.

Methods: We conducted a retrospective descriptive study based on the daily activity of the UTAG over 6 months including all patients consecutively hospitalized in the unit via the computerized medical file of the hospital. The data collected included the Rockwood score, the primary diagnoses, the LOS and any 1-month readmission.

Results: From August 2019 to January 2020, 646 older adult patients were hospitalized in the UTAG. Two-thirds of the hospitalized patients were women; the mean age of this population was 86.7 ± 6.2 years. The main causes of hospitalization were infectious pathologies (19.8%), falls and their consequences (17.3%), and cardiac pathologies (17.2%). The mean LOS was of 2.7 ± 2.0. Seventy readmissions were observed in the month after discharge. One-month readmissions were more frequent when patients had presented with acute heart failure and among nursing home residents.

Conclusion: The creation of the UTAG reduced LOS and so contributed to decreased iatrogenic disabilities without putting patients at increased risk of readmission. The development of cardiac and geriatric dedicated outpatient pathways and a community-based geriatric mobile team intervening in nursing homes could optimize the care of frail older adult patients and avoid readmissions.