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Assessing written communication during interhospital transfers of emergency general surgery patients.

ABSTRACT: BACKGROUND:Poor communication causes fragmented care. Studies of transitions of care within a hospital and on discharge suggest significant communication deficits. Communication during transfers between hospitals has not been well studied. We assessed the written communication provided during interhospital transfers of emergency general surgery patients. We hypothesized that patients are transferred with incomplete documentation from referring facilities. METHODS:We performed a retrospective review of written communication provided during interhospital transfers to our emergency department (ED) from referring EDs for emergency general surgical evaluation between January 1, 2014 and January 1, 2016. Elements of written communication were abstracted from referring facility documents scanned into the medical record using a standardized abstraction protocol. Descriptive statistics summarized the information communicated. RESULTS:A total of 129 patients met inclusion criteria. 87.6% (n = 113) of charts contained referring hospital documents. 42.5% (n = 48) were missing history and physicals. Diagnoses were missing in 9.7% (n = 11). Ninety-one computed tomography scans were performed; among 70 with reads, final reads were absent for 70.0% (n = 49). 45 ultrasounds and x-rays were performed; among 27 with reads, final reads were missing for 80.0% (n = 36). Reasons for transfer were missing in 18.6% (n = 21). Referring hospital physicians outside the ED were consulted in 32.7% (n = 37); consultants' notes were absent in 89.2% (n = 33). In 12.4% (n = 14), referring documents arrived after the patient's ED arrival and were not part of the original documentation provided. CONCLUSIONS:This study documents that information important to patient care is often missing in the written communication provided during interhospital transfers. This gap affords a foundation for standardizing provider communication during interhospital transfers.

SUBMITTER: Harl FNR

PROVIDER: S-EPMC5614521 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Assessing written communication during interhospital transfers of emergency general surgery patients.

Harl Felicity N R FNR Saucke Megan C MC Greenberg Caprice C CC Ingraham Angela M AM

The Journal of surgical research 20170306

<h4>Background</h4>Poor communication causes fragmented care. Studies of transitions of care within a hospital and on discharge suggest significant communication deficits. Communication during transfers between hospitals has not been well studied. We assessed the written communication provided during interhospital transfers of emergency general surgery patients. We hypothesized that patients are transferred with incomplete documentation from referring facilities.<h4>Methods</h4>We performed a re ...[more]

PMID: 28624064

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Project description:ImportanceAlthough patients with emergency general surgery (EGS) conditions frequently undergo interhospital transfers, the transfer patterns and associated factors are not well understood.ObjectiveTo examine whether patients with EGS conditions are consistently directed to hospitals with more resources and better outcomes.Design, setting, and participantsThis cohort study performed a network analysis of interhospital transfers among adults with EGS conditions from January 1 to December 31, 2016. The analysis used all-payer claims data from the 2016 Healthcare Cost and Utilization Project state inpatient and emergency department databases in 8 states. A total of 728 hospitals involving 85 415 transfers of 80 307 patients were included. Patients were eligible for inclusion if they were 18 years or older and had an acute care hospital encounter with a diagnosis of an EGS condition as defined by the American Association for the Surgery of Trauma. Data were analyzed from January 1, 2020, to June 17, 2021.ExposuresHospital-level measures of size (total bed capacity), resources (intensive care unit [ICU] bed capacity, teaching status, trauma center designation, and presence of trauma and/or surgical critical care fellowships), EGS volume (annual EGS encounters), and EGS outcomes (risk-adjusted failure to rescue and in-hospital mortality).Main outcomes and measuresThe main outcome was hospital-level centrality ratio, defined as the normalized number of incoming transfers divided by the number of outgoing transfers. A higher centrality ratio indicated more incoming transfers per outgoing transfer. Multivariable regression analysis was used to test the hypothesis that a higher hospital centrality ratio would be associated with more resources, higher volume, and better outcomes.ResultsAmong 80 307 total patients, the median age was 63 years (interquartile range [IQR], 50-75 years); 52.1% of patients were male and 78.8% were White. The median number of outgoing and incoming transfers per hospital were 106 (IQR, 61-157) and 36 (IQR, 8-137), respectively. A higher log-transformed centrality ratio was associated with more resources, such as higher ICU capacity (eg, >25 beds vs 0-10 beds: β = 1.67 [95% CI, 1.16-2.17]; P < .001), and higher EGS volume (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = 0.78 [95% CI, 0-1.57]; P = .01). However, a higher log-transformed centrality ratio was not associated with better outcomes, such as lower in-hospital mortality (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = 0.30 [95% CI, -0.09 to 0.68]; P = .83) and lower failure to rescue (eg, quartile 4 [highest] vs quartile 1 [lowest]: β = -0.50 [95% CI, -1.13 to 0.12]; P = .27).Conclusions and relevanceIn this study, EGS transfers were directed to high-volume hospitals with more resources but were not necessarily directed to hospitals with better clinical outcomes. Optimizing transfer destination in the interhospital transfer network has the potential to improve EGS outcomes.

Project description:ObjectivesThis quality improvement project sought to enhance clinical information sharing for interhospital transfers to an inpatient hepatology service comprised of internal medicine resident frontline providers (housestaff) with the specific aims of making housestaff aware of 100% of incoming transfers and providing timely access to clinical summaries.InterventionsIn February 2020, an email notification system to senior medicine residents responsible for patient triage shared planned arrival time for patients pending transfer. In July 2020, a clinical data repository ("Transfer Log") updated daily by accepting providers (attending physicians and subspecialty fellows) became available to senior medicine residents responsible for triage.MethodsLikert scale surveys were administered to housestaff before email intervention (pre) and after transfer log intervention (post). The time from patient arrival to team assignment (TTA) in the electronic medical record was used as a proxy for time to patient assessment and was measured pre- and postinterventions; >2 hours to TTA was considered an extreme delay.ResultsHousestaff reported frequency of access to clinical information as follows: preinterventions 4/31 (13%) sometimes/very often and 27/31 (87%) never/rarely; postinterventions 11/26 (42%) sometimes/very often and 15/26 (58%) never/rarely (p = 0.02). Preinterventions 12/39 (31%) felt "not at all prepared" versus 27/39 (69%) "somewhat" or "adequately"; postinterventions 2/24 (8%) felt "not at all prepared" versus 22/24 (92%) somewhat/adequately prepared (p = 0.06). There was a significant difference in mean TTA between pre- and posttransfer log groups (62 vs. 40 minutes, p = 0.01) and a significant reduction in patients with extreme delays in TTA post-email (18/180 pre-email vs. 7/174 post-email, p = 0.04).ConclusionEarly notification and increased access to clinical information were associated with better sense of preparedness for admitting housestaff, reduction in TTA, and reduced frequency of extreme delays in team assignment.

Project description:ImportanceStroke treatment is exquisitely time sensitive. The door-in-door-out (DIDO) time, defined as the total time spent in the emergency department (ED) at a transferring hospital, is an important quality metric for the care of acute stroke. However, little is known about the contributions of specific process steps to delays and disparities in DIDO time.ObjectiveTo quantify process steps and their association with DIDO times at transferring hospitals among patients with acute ischemic stroke (AIS).Design, setting, and participantsThis retrospective cohort study analyzed patients in the American Heart Association Get With the Guidelines-Stroke registry with AIS presenting between January 1, 2019, to December 31, 2021, and transferred from the presenting hospital ED to another acute care hospital for evaluation of thrombolytics, endovascular therapy, or postthrombolytic care. Data were analyzed from July 8 to October 13, 2023.ExposuresIntervals of ED care of ischemic stroke: door-to-imaging and imaging-to-door times.Main outcomes and measuresThe primary outcome was DIDO time. Multivariate generalized estimating equations regression models were performed to compare contributions of interval process times to explain variation in DIDO time, controlling for patient- and hospital-level characteristics.ResultsAmong 28 887 patients (50.5% male; mean [SD] age, 68.3 [14.8] years; 5.5% Hispanic, 14.7% non-Hispanic Black, and 73.2% non-Hispanic White), mean (SD) DIDO time was 171.4 (149.5) minutes, mean (SD) door-to-imaging time was 18.3 (34.1) minutes, and mean (SD) imaging-to-door time was 153.1 (141.5) minutes. In the model adjusting for door-to-imaging time, the following were associated with longer DIDO time: age 80 years or older (compared with 18-59 years; 5.97 [95% CI, 1.02-10.92] minutes), female sex (5.21 [95% CI, 1.55-8.87] minutes), and non-Hispanic Black race (compared with non-Hispanic White 10.09 [95% CI, 4.21-15.96] minutes). In the model including imaging-to-door time as a covariate, disparities in DIDO by age and female sex became nonsignificant, and the disparity by Black race was attenuated (2.32 [95% CI, 1.09-3.56] minutes).Conclusions and relevanceIn this national cohort study of interhospital transfer of patients with AIS, delays in DIDO time by Black race, older age (≥80 years), and female sex were largely explained by the imaging-to-door period, suggesting that future systems interventions should target this interval to reduce these disparities. While existing guidelines and care resources heavily focus on reducing door-to-imaging times, further attention is warranted to reduce imaging-to-door times in the management of patients with AIS who require interhospital transfer.

Project description:IntroductionTransferred emergency general surgery (EGS) patients are a vulnerable, high acuity population. The outcomes of and health care utilization among transferred (TRAN) as compared to directly admitted (DA) patients have been studied primarily using single institution or hospital system data which limits generalizability. We evaluated these outcomes among EGS patients using a national database.MethodsWe identified encounters of patients aged ≥18 years with a diagnosis of EGS as defined by the American Association for the Surgery of Trauma in the 2008-2011 Nationwide Inpatient Sample (NIS). Multivariable regression analyses determined if transfer status independently predicted in-hospital mortality (logistic regression) and morbidity (presence of any complication among those who survived to discharge; logistic regression), cost (log-linear regression), and duration of stay (among those who survived to discharge; log-linear regression) accounting for the NIS sampling design.ResultsWe identified 274,145 TRAN (57,885 unweighted) and 10,456,100 DA (2,187,132 unweighted) encounters. On univariate analysis, TRAN patients were more likely to have greater comorbidity scores, have Medicare insurance, and reside in an area with a lesser median household income compared to DA patients (p<0.0001). Mortality was greater in the TRAN vs DA groups (4.4% vs 1.6%; p<0.0001). Morbidity (presence of any complication) was also greater among TRAN patients (38.8% vs 26.1%; p<0.0001). Morbidity among TRAN patients was primarily due to urinary- (13.7%), gastrointestinal- (12.9%), and pulmonary-related (13.3%) complications. Median duration of hospital stay was 4.3 days for TRAN vs 3.0 days for DA (p<0.0001) patients. Median cost was greater for TRAN patients ($8,935 vs $7,167; p<0.0001). Regression analyses determined that after adjustment, TRAN patients had statistically significantly greater mortality, morbidity, and cost as well as longer durations of stay.ConclusionsEGS patients who are transferred experience increased in-hospital morbidity and mortality as well as increased durations of stay and cost. As the population and age of patients diagnosed with EGS conditions increase while the EGS workforce decreases, the need for inter-hospital transfers will increase. Identifying risk factors associated with worse outcomes among transferred patients can inform the design of initiatives in performance improvement and direct the finite resources available to this vulnerable patient population.

Project description:BackgroundAlthough nearly 1 million older adults are admitted for emergency general surgery conditions yearly, the extent to which baseline health influences the development and treatment of emergency general surgery conditions is unknown. We evaluated baseline health and older patients with and without emergency general surgery conditions.MethodsWe used the prospectively collected Medicare Current Beneficiary Survey with Medicare claims and 2 validated health frameworks: (1) Deficit Accumulation Frailty Score and (2) Complex Multimorbidity. Self-reported health and function items were used to derive pre-emergency general surgery conditions Deficit Accumulation Frailty Score and Complex Multimorbidity scores. Deficit Accumulation Frailty Score ranges from 0 (no frailty deficits) to 100 (all possible deficits present). Complex Multimorbidity is a 3-point categorical rank based on the presence of chronic conditions, functional limitations, and geriatric syndromes. Specific survey factors were also examined to determine association with development of emergency general surgery conditions or use of operative management.ResultsOf 54,417 individuals, 1,960 had emergency general surgery conditions (median age 79 [interquartile range 73-84]). Patients with emergency general surgery conditions had significantly higher Deficit Accumulation Frailty Score (19 [interquartile range 11-31] vs 14 [8-24]) and were more likely to be in the most severe Complex Multimorbidity category (38% vs 29%). Emergency general surgery conditions patients had higher proportions of nearly every health category, with the most striking differences in functional limitations. Patients who were treated nonoperatively had the poorest overall baseline health.ConclusionPatients who developed emergency general surgery conditions had more severe health burden than patients who did not, particularly in functional status. Clinicians must better understand the interaction between baseline health vulnerability and emergency surgical disease to improve prognostication and ensure alignment of patient goals and treatment strategies.

Project description:Telemedicine allows delivery of healthcare to occur between parties that are not in the same location. As telemedicine users are not co-present, effective communication methods are crucial to the delivery and reception of information. The aim of this study was to explore perspectives of general practitioners (GPs) and patients on the interactional components of telemedicine consultations. Semi-structured qualitative interviews were held with telemedicine users; 15 GPs and nine patients self-selected from a larger telemedicine study. Participants were asked about their preparation for telemedicine consultations, conducting telemedicine consultations and post-consultation activities. Deidentified transcripts from the interviews were analysed thematically. GPs and patients discussed factors they used to decide whether a consultation would be best conducted by telemedicine or in-person; the condition to be discussed, the existing doctor-patient relationship and whether physical examination was required. Participants also described how they prepared for their telemedicine consultations, gathering relevant documents, and reading previous notes. Participants described strategies they employed to optimise the telemedicine interaction; improving conversational flow and building rapport, as well as difficulties they experienced when trying to provide and receive care via telemedicine. Patient factors including health literacy and familiarity with technology affect the transfer of information shared during telemedicine consultations and consideration of these factors when choosing patients for telemedicine is required. Many GPs and patients have innate communication skills to effectively deliver and receive care through telemedicine. However, they may not be aware of these subconscious techniques to use to optimise telemedicine consultations. Communication training could be delivered to increase conversational flow, build rapport, and establish safety netting.

Dataset Information

Assessing written communication during interhospital transfers of emergency general surgery patients.

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Assessing written communication during interhospital transfers of emergency general surgery patients.

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