Annotated Bibliography: Understanding Ambulatory Care Practices in the Context of Patient Safety and Quality Improvement.

The ambulatory care setting is an increasingly important component of the patient safety conversation. Inpatient safety is the primary focus of the vast majority of safety research and interventions, but the ambulatory setting is actually where most medical care is administered. Recent attention has shifted toward examining ambulatory care in order to implement better health care quality and safety practices. This annotated bibliography was created to analyze and augment the current literature on ambulatory care practices with regard to patient safety and quality improvement. By providing a thorough examination of current practices, potential improvement strategies in ambulatory care health care settings can be suggested. A better understanding of the myriad factors that influence delivery of patient care will catalyze future health care system development and implementation in the ambulatory setting

Clinical decision support systems in the care of hospitalised patients with diabetes

This thesis explored the role of health informatics (decision support systems) in caring for hospitalised patients with diabetes through a systematic review and by analysing data from University Hospital Birmingham, UK. Findings from the thesis: 1) highlight the potential role of computerised physician order entry system in improving guideline based anti-diabetic medication prescription in particular insulin prescription, and their effectiveness in contributing to better glycaemic control; 2) quantify the occurrence of missed discharge diagnostic codes for diabetes using electronic prescription data and suggests 60% of this could be potentially reduced using an algorithm that could be introduced as part of the information system; 3) found that hypoglycaemia and foot disease in hospitalised diabetes patients were independently associated with higher in-hospital mortality rates and longer length of stay; 4) quantify the hypoglycaemia rates in non-diabetic patients and proposes one method of establishing a surveillance system to identify non diabetic hypoglycaemic patients; and 5) introduces a prediction model that may be useful to identify patients with diabetes at risk of poor clinical outcomes during their hospital stay

An interdisciplinary code sepsis team to improve sepsis bundle compliance in the emergency department

Purpose: Sepsis is one of the leading causes of mortality with over 700,000 hospitalizations and 200,000 deaths annually. Various tools exist to aid in the early identification and treatment of sepsis including electronic alert systems, standardized order sets, nurse-initiated protocols and specialty trained teams. Despite available guidelines, mortality rates for severe sepsis and septic shock are near 50%. Methods: The aims of this rapid cycle quality improvement project were 1) to develop and implement an interdisciplinary team to address early implementation of evidence-based sepsis bundles in the emergency department and 2) to compare sepsis bundle compliance three months pre-and three months’ post-intervention implementation. The population included all patients’ over 18 years of age presenting to the emergency department with clinical indications of sepsis, severe sepsis, or septic shock. Results: The pre-post intervention analysis shows an improvement in time to each bundle element except antibiotics. There was statistical significance in time to second lactate. Statistical significance was noted in the fluid resuscitation volume met (p=.000), initial lactate collected within 180 minutes (p=.001), and second lactate within 360 minutes (.000). Mortality rates in patients with sepsis on presentation showed a steady decline from 12.45% in the first month pre-intervention to 4.55% in the last month post intervention. Conclusion: Interdisciplinary teams can utilize existing knowledge, skills and tools to improve sepsis bundle compliance and mortality outcomes in sepsis patients presenting to the emergency department

Advancing Physician Performance Measurement: Using Administrative Data to Assess Physician Quality and Efficiency

Summarizes national initiatives to advance the practice of standardized measurement and outlines goals for developing a method for tracking efficiency and quality that will reward physicians and enable patients to make informed healthcare choices

Improving Confidence in Suicide Risk Assessment in Psychiatric Urgent Care

abstract: The utilization of suicide risk assessment tools is a critical component of a comprehensive approach to suicide risk assessment. However, some professionals hesitate to utilize screening tools routinely in practice. A project was undertaken to determine if the utilization of the Columbia-Suicide Severity Scale (C-SSRS) improved staff confidence in assessing suicide risk. Professionals within a psychiatric urgent care in Scottsdale, Arizona were provided with training on the C-SSRS. Participants then utilized the C-SSRS at triage with patients presenting with depression and/or suicidality over a two-month period. Self confidence in assessing suicide risk was evaluated utilizing The Efficacy in Assessing and Managing Suicide Risk Scale (SETSP-S). The acceptability and usability of the C-SSRS was evaluated utilizing The System Usability Scale (SUS). Findings of the Wilcoxon Signed Ranks test indicated changes in pre and posttest assessment scores as significant in seven of the eight assessment parameters. In addition, Cohen's effect size value suggested medium or large clinical significance in these same assessment parameters. Evidence suggests that efficient and effective assessment can improve staff confidence in assessing for suicidality and may improve morbidity and mortality rates for patients. The utilization of tools such as the C*SSRS could reduce health care costs associated with unnecessary hospital admissions as well as rehospitalizations. The routine utilization of assessment tools such as the C-SSRS many also be beneficial to healthcare specialties outside of behavioral health such as emergency departments and urgent care settings

Trigger Tool-Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review.

BACKGROUND Adverse events in health care entail substantial burdens to health care systems, institutions, and patients. Retrospective trigger tools are often manually applied to detect AEs, although automated approaches using electronic health records may offer real-time adverse event detection, allowing timely corrective interventions. OBJECTIVE The aim of this systematic review was to describe current study methods and challenges regarding the use of automatic trigger tool-based adverse event detection methods in electronic health records. In addition, we aimed to appraise the applied studies' designs and to synthesize estimates of adverse event prevalence and diagnostic test accuracy of automatic detection methods using manual trigger tool as a reference standard. METHODS PubMed, EMBASE, CINAHL, and the Cochrane Library were queried. We included observational studies, applying trigger tools in acute care settings, and excluded studies using nonhospital and outpatient settings. Eligible articles were divided into diagnostic test accuracy studies and prevalence studies. We derived the study prevalence and estimates for the positive predictive value. We assessed bias risks and applicability concerns using Quality Assessment tool for Diagnostic Accuracy Studies-2 (QUADAS-2) for diagnostic test accuracy studies and an in-house developed tool for prevalence studies. RESULTS A total of 11 studies met all criteria: 2 concerned diagnostic test accuracy and 9 prevalence. We judged several studies to be at high bias risks for their automated detection method, definition of outcomes, and type of statistical analyses. Across all the 11 studies, adverse event prevalence ranged from 0% to 17.9%, with a median of 0.8%. The positive predictive value of all triggers to detect adverse events ranged from 0% to 100% across studies, with a median of 40%. Some triggers had wide ranging positive predictive value values: (1) in 6 studies, hypoglycemia had a positive predictive value ranging from 15.8% to 60%; (2) in 5 studies, naloxone had a positive predictive value ranging from 20% to 91%; (3) in 4 studies, flumazenil had a positive predictive value ranging from 38.9% to 83.3%; and (4) in 4 studies, protamine had a positive predictive value ranging from 0% to 60%. We were unable to determine the adverse event prevalence, positive predictive value, preventability, and severity in 40.4%, 10.5%, 71.1%, and 68.4% of the studies, respectively. These studies did not report the overall number of records analyzed, triggers, or adverse events; or the studies did not conduct the analysis. CONCLUSIONS We observed broad interstudy variation in reported adverse event prevalence and positive predictive value. The lack of sufficiently described methods led to difficulties regarding interpretation. To improve quality, we see the need for a set of recommendations to endorse optimal use of research designs and adequate reporting of future adverse event detection studies

Characterising the types of paediatric adverse events detected by the global trigger tool - CareTrack Kids

Introduction A common method of learning about adverse events (AEs) is by reviewing medical records using the global trigger tool (GTT). However, these studies generally report rates of harm. The aim of this study is to characterise paediatric AEs detected by the GTT using descriptive and qualitative approaches. Methods Medical records of children aged 0–15 were reviewed for presence of harm using the GTT. Records from 2012–2013 were sampled from hospital inpatients, emergency departments, general practice and specialist paediatric practices in three Australian states. Nurses undertook a review of each record and if an AE was suspected a doctor performed a verification review of a summary created by the nurse. A qualitative content analysis was undertaken on the summary of verified AEs. Results A total of 232 AEs were detected from 6,689 records reviewed. Over four-fifths of the AEs (193/232, 83%) resulted in minor harm to the patient. Nearly half (112/232, 48%) related to medication/intravenous (IV) fluids. Of these, 83% (93/112) were adverse drug reactions. Problems with medical devices/equipment were the next most frequent with nearly two-thirds (32/51, 63%) of these related to intravenous devices. Problems associated with clinical processes/procedures comprise one in six AEs (38/232, 16%), of which diagnostic problems (12/38, 32%) and procedural complications (11/38, 29%) were the most frequent. Conclusion Adverse drug reactions and issues with IVs are frequently identified AEs reflecting their common use in paediatrics. The qualitative approach taken in this study allowed AE types to be characterised, which is a prerequisite for developing and prioritising improvements in practice

The role of copying and pasting in electronic clinical documentation

Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009.Includes bibliographical references (leaves 21-22).Clinical documentation by physicians and nurses has struggled to evolve with advancing technology and societal requirements. Originally designed as a physician's personal notes for a patient, the modern medical record functions as a patient record, communication tool between providers, and instrument for financial reimbursement. Technology has played a pivotal part in advancing the role of the medical record. Advantages and disadvantages inherent in the introduction of each new technology have prompted much debate, but none more than the introduction of electronic documentation systems within electronic medical records. Electronic systems provide clear advantages of information exchange as well as decision and diagnostic support. They have also proven quite controversial, particularly in the initial implementation stages. One aspect of electronic documentation, electronic copying and pasting, provides a tool for the clinician that is not clearly beneficial or detrimental, with proponents on each side. In this paper we explore the social, economic, and legal issues surrounding electronic copying and pasting in clinical documentation, review the literature on this subject, and propose a model for future research in this topic to help shape how clinicians use and process patient information from multiple sources.by Michael Jernigan.S.M

Improving the Diagnostic Accuracy of Failure-to-Rescue

The ability to successfully rescue patients from complications has been shown to be a good measure of quality care processes in hospitals. Failure-to-rescue (FTR) has been defined using secondary International Classification of Disease (ICD-9 CM) codes. Studies of FTR using these codes have demonstrated satisfactory accuracy when compared to clinical events documented in the medical record. However, a subset of the original codes for FTR, thought to be sensitive to nursing care, have failed to show the same level of accuracy. This study examined the possibility of using clinica lpredictors to identify failure-to-rescue. Secondary analysis of a previous dataset was used to establish and improve diagnostic accuracy of FTR using ICD-9 CM codes as compared to the gold standard of record review. These ICD-9 CM codes performed poorly in terms of diagnostic accuracy (sensitivity and specificity) when compared to record review. A variety of clinical predictors were then tested for accuracy in the measurement of FTR compared to record review. Transfer to a higher level of care in combination with a variety of clinical predictors as well as complications following a procedure demonstrated strong sensitivity and fair specificity. Combining these clinical predictors with secondary ICD-9 CM codes did not enhance diagnostic accuracy. While specificity for clinical predictors was not robust, high levels of sensitivity for certain predictors warrants an increased level of surveillance for patients who exhibit these signs and symptoms

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

Background: Adverse events (AEs) cause suffering for hospitalised children, a fragile patient group where the delivery of adequate timely care is of great importance. Objective: To report the incidence and characteristics of AEs, in paediatric inpatient care, as detected with the Global Trigger Tool (GTT), the Trigger Tool (TT) or the Harvard Medical Practice Study (HMPS) method. Method: MEDLINE, Embase, Web of Science and Google Scholar were searched from inception to June 2021, without language restrictions. Studies using manual record review were included if paediatric data were reported separately. We excluded studies reporting: AEs for a specific disease/diagnosis/treatment/procedure, or deceased patients; study protocols with no AE outcomes; conference abstracts, editorials and systematic reviews; clinical incident reports as the primary data source; and studies focusing on specific AEs only. Methodological risk of bias was assessed using a tool based on the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Primary outcome was the percentage of admissions with ≥1 AEs. All statistical analyses were stratified by record review methodology (GTT/TT or HMPS) and by type of population. Meta-analyses, applying random-effects models, were carried out. The variability of the pooled estimates was characterised by 95% prediction intervals (PIs). Results: We included 32 studies from 44 publications, conducted in 15 countries totalling 33 873 paediatric admissions. The total number of AEs identified was 8577. The most common types of AEs were nosocomial infections (range, 6.8%-59.6%) for the general care population and pulmonary-related (10.5%-36.7%) for intensive care. The reported incidence rates were highly heterogeneous. The PIs for the primary outcome were 3.8%-53.8% and 6.9%-91.6% for GTT/TT studies (general and intensive care population). The equivalent PI was 0.3%-33.7% for HMPS studies (general care). The PIs for preventable AEs were 7.4%-96.2% and 4.5%-98.9% for GTT/TT studies (general and intensive care population) and 10.4%-91.8% for HMPS studies (general care). The quality assessment indicated several methodological concerns regarding the included studies. Conclusion: The reported incidence of AEs is highly variable in paediatric inpatient care research, and it is not possible to estimate a reliable single rate. Poor reporting standards and methodological differences hinder the comparison of study results