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      Shift-to-Shift Handoff Effects on Patient Safety and Outcomes : A Systematic Review

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          Abstract

          Multiple health care organizations have identified handoffs as a source of clinical errors; however, few studies have linked handoff interventions to improved patient outcomes. This systematic review of English-language research articles, published January 2008 to May 2015 and focusing on shift-to-shift handoff interventions and patient outcomes, yielded 10 774 unique articles. Twenty-one articles met inclusion criteria, measuring each of the following: patient falls (n = 7), reportable events (n = 6), length of stay (n = 4), mortality (n = 4), code calls (n = 4), medication errors (n = 4), medical errors (n = 3), procedural complications (n = 2), pressure ulcers (n = 2), weekend discharges (n = 2), and nosocomial infections (n = 2). One study each also measured time to first intervention, restraint use, overnight transfusions, and out-of-hours deteriorations. Studies that reported funding had higher quality scores. It is difficult to identify trends in the handoff research because of simultaneous implementation of multiple interventions and heterogeneity of the interventions, outcomes measured, and settings. The authors call for increased handoff research funding, especially for studies that include patient outcome measures.

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          Most cited references37

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          Association between funding and quality of published medical education research.

          Methodological shortcomings in medical education research are often attributed to insufficient funding, yet an association between funding and study quality has not been established. To develop and evaluate an instrument for measuring the quality of education research studies and to assess the relationship between funding and study quality. Internal consistency, interrater and intrarater reliability, and criterion validity were determined for a 10-item medical education research study quality instrument (MERSQI). This was applied to 210 medical education research studies published in 13 peer-reviewed journals between September 1, 2002, and December 31, 2003. The amount of funding obtained per study and the publication record of the first author were determined by survey. Study quality as measured by the MERSQI (potential maximum total score, 18; maximum domain score, 3), amount of funding per study, and previous publications by the first author. The mean MERSQI score was 9.95 (SD, 2.34; range, 5-16). Mean domain scores were highest for data analysis (2.58) and lowest for validity (0.69). Intraclass correlation coefficient ranges for interrater and intrarater reliability were 0.72 to 0.98 and 0.78 to 0.998, respectively. Total MERSQI scores were associated with expert quality ratings (Spearman rho, 0.73; 95% confidence interval [CI], 0.56-0.84; P < .001), 3-year citation rate (0.8 increase in score per 10 citations; 95% CI, 0.03-1.30; P = .003), and journal impact factor (1.0 increase in score per 6-unit increase in impact factor; 95% CI, 0.34-1.56; P = .003). In multivariate analysis, MERSQI scores were independently associated with study funding of $20 000 or more (0.95 increase in score; 95% CI, 0.22-1.86; P = .045) and previous medical education publications by the first author (1.07 increase in score per 20 publications; 95% CI, 0.15-2.23; P = .047). The quality of published medical education research is associated with study funding.
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            Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims.

            Although missed and delayed diagnoses have become an important patient safety concern, they remain largely unstudied, especially in the outpatient setting. To develop a framework for investigating missed and delayed diagnoses, advance understanding of their causes, and identify opportunities for prevention. Retrospective review of 307 closed malpractice claims in which patients alleged a missed or delayed diagnosis in the ambulatory setting. 4 malpractice insurance companies. Diagnostic errors associated with adverse outcomes for patients, process breakdowns, and contributing factors. A total of 181 claims (59%) involved diagnostic errors that harmed patients. Fifty-nine percent (106 of 181) of these errors were associated with serious harm, and 30% (55 of 181) resulted in death. For 59% (106 of 181) of the errors, cancer was the diagnosis involved, chiefly breast (44 claims [24%]) and colorectal (13 claims [7%]) cancer. The most common breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (100 of 181 [55%]), failure to create a proper follow-up plan (81 of 181 [45%]), failure to obtain an adequate history or perform an adequate physical examination (76 of 181 [42%]), and incorrect interpretation of diagnostic tests (67 of 181 [37%]). The leading factors that contributed to the errors were failures in judgment (143 of 181 [79%]), vigilance or memory (106 of 181 [59%]), knowledge (86 of 181 [48%]), patient-related factors (84 of 181 [46%]), and handoffs (36 of 181 [20%]). The median number of process breakdowns and contributing factors per error was 3 for both (interquartile range, 2 to 4). Reviewers were not blinded to the litigation outcomes, and the reliability of the error determination was moderate. Diagnostic errors that harm patients are typically the result of multiple breakdowns and individual and system factors. Awareness of the most common types of breakdowns and factors could help efforts to identify and prioritize strategies to prevent diagnostic errors.
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              Missed and delayed diagnoses in the emergency department: a study of closed malpractice claims from 4 liability insurers.

              Diagnostic errors in the emergency department (ED) are an important patient safety concern, but little is known about their cause. We identify types and causes of missed or delayed diagnoses in the ED. This is a review of 122 closed malpractice claims from 4 liability insurers in which patients had alleged a missed or delayed diagnosis in the ED. Trained physician reviewers examined the litigation files and the associated medical records to determine whether an adverse outcome because of a missed diagnosis had occurred, what breakdowns were involved in the missed diagnosis, and what factors contributed to it. Main outcome measures were missed diagnoses, process breakdowns, and contributing factors. A total of 79 claims (65%) involved missed ED diagnoses that harmed patients. Forty-eight percent of these missed diagnoses were associated with serious harm, and 39% resulted in death. The leading breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (58% of errors), failure to perform an adequate medical history or physical examination (42%), incorrect interpretation of a diagnostic test (37%), and failure to order an appropriate consultation (33%). The leading contributing factors to the missed diagnoses were cognitive factors (96%), patient-related factors (34%), lack of appropriate supervision (30%), inadequate handoffs (24%), and excessive workload (23%). The median numbers of process breakdowns and contributing factors per missed diagnosis were 2 and 3, respectively. Missed diagnoses in the ED have a complex cause. They are typically the result of multiple breakdowns in the diagnostic process and several contributing factors.
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                Author and article information

                Journal
                American Journal of Medical Quality
                Am J Med Qual
                SAGE Publications
                1062-8606
                1555-824X
                July 09 2016
                January 2017
                July 09 2016
                January 2017
                : 32
                : 1
                : 34-42
                Affiliations
                [1 ]University of South Alabama, Mobile, AL
                [2 ]Sidney Kimmel Medical College, Philadelphia, PA
                [3 ]University of Alabama at Birmingham, AL
                [4 ]Christiana Care Hospital, Newark, DE
                Article
                10.1177/1062860615612923
                26518882
                1d9752ba-7421-42e2-928a-7b5f709dab97
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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