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Harris Raahauge posted an update 6 months, 2 weeks ago
redesigning and standardizing the blood administration process as well as providing training and educational programs for providing knowledge.
Operating rooms (ORs) and surgical settings are potential sources of sentinel adverse events. To better understand the characteristics of errors in OR processes, we performed prospective risk analysis.
The study was mixed qualitative and quantitative research. We used the Healthcare Failure Mode and Effect Analysis (HFMEA) method to analyze the selected perioperative, operative, and postoperative processes in the OR via a 2-round Delphi technique. We identified the most prominent failure modes according to a Hazard Decision Matrix, analyzed and categorized proposed possible causes, and provided solutions to mitigate hazard scores.
Ten important processes and 7 subprocesses within the OR were selected and mapped, and 187 failure modes were identified and scored on the basis of severity and probability. A total of 36 potential failure modes were highlighted as high-risk failures and moved to decision trees for further analyses.
Developing policy for the familiarization of new personnel designing a checklist for accurate gases counting; drafting comprehensive presurgical posters; preparing all necessary equipment in difficult intubation; developing instruction for monthly checking of the OR equipment; and developing the evaluation criteria of staff performance are examples of solutions that are proposed to improve the quality of OR processes.
Developing policy for the familiarization of new personnel designing a checklist for accurate gases counting; drafting comprehensive presurgical posters; preparing all necessary equipment in difficult intubation; developing instruction for monthly checking of the OR equipment; and developing the evaluation criteria of staff performance are examples of solutions that are proposed to improve the quality of OR processes.
Inability to obtain timely medications is a patient safety concern that can lead to delayed or incomplete treatment of illness. While there are many patient and system factors contributing to postdischarge medication nonadherence, availability and insurance-related barriers are preventable.
To implement a systematic process ensuring review of discharge prescriptions to ensure availability and resolve insurance barriers before patient discharge.
A prospective single-arm quality improvement intervention study to identify and address insurance-related prescription barriers using nonclinical staff. Intervention was pilot tested with sequential spread across general medicine resident teams. The primary outcome was successful obtainment of postdischarge prescriptions confirmed by phone calls to patients or their pharmacies.
From April to August 2015, 59 of 161 patients included in the improvement process (36.6%) had one or more insurance or availability-related barriers with their prescriptions, totaling 89 issues. Forty-three of the 59 patients (72.9%) responded to postdischarge phone calls, 39 of whom (39/43, 90.7%) successfully filled their prescriptions on the first pharmacy visit.
In our study, we preemptively identified that over a third of patients discharged would have encountered barriers filling their prescriptions. This interdisciplinary quality improvement project using nonclinical team members removed barriers for over 90% of our patients to ensure continuation of medical therapy without disruption and a safer postdischarge plan.
In our study, we preemptively identified that over a third of patients discharged would have encountered barriers filling their prescriptions. This interdisciplinary quality improvement project using nonclinical team members removed barriers for over 90% of our patients to ensure continuation of medical therapy without disruption and a safer postdischarge plan.
Patients with physical injuries or chronic conditions may be impacted by mental health conditions, which significantly affect their participation and progress in treatment. The Patient Health Questionnaire-2 (PHQ-2) depression screening can identify patients who are at greatest risk for depression to provide better whole-person care.
The quality improvement project objective was to identify and design a process that would result in the PHQ-2 depression screening for admitted trauma patients with a minimum 75% completion rate.
Lean Six Sigma (LSS) process design methodology, DMADV (define, measure, analyze, design, and verify), drove process improvement. Medical records from before (December 2018 through February 2019) and after (March 2019 through May 2019) the intervention were evaluated using frequencies, percentages, χ, and multivariable logistic regression to determine the effectiveness of the intervention.
PHQ-2 document location was imperative to successful compliance, which increased from 60.74% (78 of 128) to 80.56% (87 of 108). Specifically, weekend compliance increased from 42.9% (18 of 42) to 82.8% (24 of 29).
LSS DMADV methodology helped health care professionals design a process to facilitate compliance with the PHQ-2 depression screening protocol in trauma patients. Adherence with this screening can help increase the number of behavioral health consultations, which in turn improves the treatment of traumatic injury survivors.
LSS DMADV methodology helped health care professionals design a process to facilitate compliance with the PHQ-2 depression screening protocol in trauma patients. Adherence with this screening can help increase the number of behavioral health consultations, which in turn improves the treatment of traumatic injury survivors.
Teaching hospitals often face budget limitations and lack of investment. Therefore, the optimal allocation of budget and resources plays an important role in improving the performance and service quality of these hospitals. This research aims to evaluate the performance and determine the efficiency of medical science university hospitals in Tehran.
This study identified and categorized 47 effective factors in the performance assessment of hospital units using the Preference Ranking Organization METHod for Enrichment of Evaluation II (PROMETHEE II) method. Moreover, the performance of 40 medical science university hospitals in Tehran was evaluated using an outcome-based model of data envelopment analysis (DEA) with 4 input and 8 output factors and the assumption of scale-dependent efficiency. selleck chemicals llc The hospitals were also ranked according to the Andersen-Petersen (AP) method.
PROMETHEE II results identified 12 factors as the most important in hospital performance evaluation. DEA indicated that 16 hospitals had performance scores below 1 and are thus inefficient.
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