Data missingness in the Michigan NEMSIS (MI-EMSIS) dataset: a mixed-methods study

Determining What Proportion of Helicopter Emergency Medical Services-Transported Patients Are Urban Versus Rurally Based: A Retrospective 36-Year Geospatial Analysis of a Critical Care Helicopter Emergency Medical Services Organization's Patient Transports

OBJECTIVE

There is an increased mortality rate of patients residing in rural compared with urban communities. Helicopter emergency medical services (HEMS) decrease both the time to hospital arrival and trauma mortality in patients originating from rural areas. An unreported number of urban residents are served by HEMS. Our objective was to quantify the fraction of urban residents who live in the adjoining city of a HEMS base and are transferred by helicopter while they are in rural areas.

METHODS

This was a retrospective analysis of HEMS charts between 1985 and 2022. Records were assessed for patients' city and postal code. A secondary database was searched to assess mission location.

RESULTS

Thirty-five thousand nine hundred seventy-one cases were analyzed; 3,871 (10.76%) cases involved patients residing within the urban area of an open HEMS base, and 32,100 (89.24%) did not. This contrasts with 2.04% of all missions conducted in urban areas. Cases flown with patients from outside of the 3 provinces were as follows: British Columbia (1,233/21,941; 5.3% of Alberta cases), international (988/35,971; 2.7% of total cases), Ontario (177/4,691; 3.6% of Manitoba cases), and other provinces combined (158/3,5971; 0.4% of total cases).

CONCLUSION

We highlight the impact of HEMS, where it serves both rural residents and all people who work in, travel through, visit, or recreate across the areas that our HEMS supports.

Characteristics of pediatric behavioral health emergencies in the prehospital setting

OBJECTIVE

Approximately 10% of emergency medical services (EMS) encounters in the United States are behavioral health related, but pediatric behavioral health EMS encounters have not been well characterized. We sought to describe demographic, clinical, and EMS system characteristics of pediatric behavioral health EMS encounters across the United States and to evaluate factors associated with sedative medication administration and physical restraint use during these encounters.

METHODS

We conducted a retrospective cross-sectional study of pediatric (<18 years old) behavioral health EMS encounters from 2019 to 2020 using the National Emergency Medical Services Information System. Behavioral health encounters were defined using primary or secondary impression codes. We used multivariable logistic regression to identify factors associated with sedative medication administration and physical restraint use.

RESULTS

Of 2,740,271 pediatric EMS encounters, 309,442 (11.3%) were for behavioral health. Of pediatric behavioral health EMS encounters, 85.2% of patients were 12-17 years old, 57.3% of patients were female, and 86.6% of encounters occurred in urban areas. Sedative medications and physical restraints were used in 2.2% and 3.0% of pediatric behavioral health EMS encounters, respectively. Sedative medication use was associated with the presence of developmental, communication, or physical disabilities relative to their absence (adjusted odds ratio [aOR] 3.38, 95% confidence interval [CI] 2.93-3.91) and with encounters in the West relative to the South (aOR 1.23, 95% CI 1.16-1.32). Physical restraint use was associated with encounters by patients 6-11 years old relative to those 12-17 years old (aOR 1.35, 95% CI 1.27-1.44), the West relative to the South (aOR 3.49, 95% CI 3.27-3.72), and private nonhospital EMS systems relative to fire departments (aOR 3.39, 95% CI 3.18-3.61).

CONCLUSIONS

Among pediatric prehospital behavioral health EMS encounters, the use of sedative medications and physical restraint varies by demographic, clinical, and EMS system characteristics. Regional variation suggests opportunities may be available to standardize documentation and care practices during pediatric behavioral health EMS encounters.

Emergency Medical Services Compliance With Prehospital Stroke Quality Metrics Is Associated With Faster Stroke Evaluation and Treatment

BACKGROUND

Emergency medical services (EMS) is an important link in the stroke chain of recovery. Various prehospital quality metrics have been proposed for prehospital stroke care, but their individual impact is uncertain. We sought to measure associations between EMS quality metrics and downstream stroke care.

METHODS

This is a retrospective analysis of a cohort of EMS-transported stroke patients assembled through a linkage between Michigan's EMS and stroke registries. We used multivariable regression to quantify the independent associations between EMS quality metric compliance (dispatch within 90 seconds of 911 call, prehospital stroke screen documentation [Prehospital stroke scale], glucose check, last known well time, maintenance of scene times ≤15 minutes, hospital prenotification, and intravenous line placement) and shorter door-to-CT times (door-to-CT ≤25), accounting for EMS recognition, age, sex, race, stroke subtype, severity, and duration of symptoms. We then developed a simple EMS quality score based on metrics associated with early CT and examined its associations with hospital stroke evaluation times, treatment, and patient outcomes.

RESULTS

Five thousand seven hundred seven EMS-transported stroke cases were linked to prehospital records from January 2018 through June 2019. In multivariable analysis, prehospital stroke scale documentation (adjusted odds ratio, 1.4 [1.2-1.6]), glucose check (1.3 [1.1-1.6]), on-scene time ≤15 minutes (1.6 [1.4-1.9]), hospital prenotification ([2.0 [1.4-2.9]), and intravenous line placement (1.8 [1.5-2.1]) were independently associated with a door-to-CT ≤25 minutes. A 5-point quality score (1 point for each element) was therefore developed. In multivariable analysis, a 1-point higher EMS quality score was associated with a shorter time from EMS contact to CT (-9.2 [-10.6 to -7.8] minutes; P<0.001) and thrombolysis (-4.3 [-6.4 to -2.2] minutes; P<0.001), and higher odds of discharge to home (adjusted odds ratio, 1.1 [1.0-1.2]; P=0.002).

CONCLUSIONS

Five EMS actions recommended by national guidelines were associated with rapid CT imaging. A simple quality score derived from these measures was also associated with faster stroke evaluation, greater odds of reperfusion treatment, and discharge to home.

Database quality assessment in research in paramedicine: a scoping review

BACKGROUND

Research in paramedicine faces challenges in developing research capacity, including access to high-quality data. A variety of unique factors in the paramedic work environment influence data quality. In other fields of healthcare, data quality assessment (DQA) frameworks provide common methods of quality assessment as well as standards of transparent reporting. No similar DQA frameworks exist for paramedicine, and practices related to DQA are sporadically reported. This scoping review aims to describe the range, extent, and nature of DQA practices within research in paramedicine.

METHODS

This review followed a registered and published protocol. In consultation with a professional librarian, a search strategy was developed and applied to MEDLINE (National Library of Medicine), EMBASE (Elsevier), Scopus (Elsevier), and CINAHL (EBSCO) to identify studies published from 2011 through 2021 that assess paramedic data quality as a stated goal. Studies that reported quantitative results of DQA using data that relate primarily to the paramedic practice environment were included. Protocols, commentaries, and similar study types were excluded. Title/abstract screening was conducted by two reviewers; full-text screening was conducted by two, with a third participating to resolve disagreements. Data were extracted using a piloted data-charting form.

RESULTS

Searching yielded 10,105 unique articles. After title and abstract screening, 199 remained for full-text review; 97 were included in the analysis. Included studies varied widely in many characteristics. Majorities were conducted in the United States (51%), assessed data containing between 100 and 9,999 records (61%), or assessed one of three topic areas: data, trauma, or out-of-hospital cardiac arrest (61%). All data-quality domains assessed could be grouped under 5 summary domains: completeness, linkage, accuracy, reliability, and representativeness.

CONCLUSIONS

There are few common standards in terms of variables, domains, methods, or quality thresholds for DQA in paramedic research. Terminology used to describe quality domains varied among included studies and frequently overlapped. The included studies showed no evidence of assessing some domains and emerging topics seen in other areas of healthcare. Research in paramedicine would benefit from a standardized framework for DQA that allows for local variation while establishing common methods, terminology, and reporting standards.

Racial and ethnic disparities in the provision of bystander CPR after witnessed out-of-hospital cardiac arrest in the United States

OBJECTIVE

To evaluate the association between race/ethnicity and the odds of receiving bystander cardiopulmonary resuscitation (bCPR) after witnessed out-of-hospital cardiac arrest (OHCA).

METHODS

For this cross-sectional retrospective study, data were obtained from the National Emergency Medical Services Information System database for adults (≥18 years) with a witnessed non-traumatic OHCA in the year 2021. Patients were separated into two groups including Black/Hispanic and White. The primary outcome was the odds of receiving bCPR. We excluded traumatic etiology, do-not-resuscitate orders, and arrest in a healthcare facility or wilderness location. Multiple logistic regression controlling for known covariates was utilized and analyses were stratified by public versus non-public location, median household income, and rural, suburban, or urban setting.

RESULTS

A total of 64,007 witnessed OHCAs were included. When compared to White, the Black/Hispanic group were younger (62 vs 67 years) and more often female (40% vs 33%), in neighborhoods with the lowest median household income (31% vs 13%) and in an urban setting (92% vs 80%). Overall, bystander CPR rates were 60% and 67% for the Black/Hispanic and White groups, respectively. Multiple logistic regression stratified by OHCA location found that the Black/Hispanic group had a decreased odds of receiving bCPR compared to the White group both in the home (adjusted OR [aOR] 0.77; 95% CI 0.74-0.81) and in public (aOR 0.69; 95% CI 0.64-0.76). This difference persisted throughout neighborhoods of different socioeconomic status and across the rural-urban spectrum.

CONCLUSIONS

Racial/ethnic disparities exist for Black and Hispanic persons in the odds of receiving bCPR after a witnessed non-traumatic OHCA regardless of public or private setting, neighborhood income level, or population density.

Completeness of Pediatric Versus Adult Patient Assessment Documentation in the National Emergency Medical Services Information System

BACKGROUND

Pediatric prehospital encounters are proportionally low-frequency events. National pediatric readiness initiatives have targeted gaps in prehospital pediatric assessment and management. Regional studies suggest that pediatric vital signs are inconsistently obtained and documented. We aimed to assess national emergency medical services (EMS) data to evaluate completeness of assessment documentation for pediatric versus adult patients and to identify the documentation of condition-specific assessments.

METHODS

We performed a retrospective cross-sectional analysis of EMS encounters from the National Emergency Medical Services Information System for 2019, including all 9-1-1 encounters resulting in transport. Our primary outcome was the proportion of encounters with complete vital signs (heart rate, respiratory rate, and systolic blood pressure) documented by pediatric age category relative to adult encounters. Pediatric patients were considered as those less than 18 years old. Our secondary outcome was condition-specific assessments for encounters with respiratory emergencies, cardiac complaints, and trauma. We performed multivariable logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for vital signs documentation by age after adjusting for sex, injury status, transport type (advanced vs basic life support), census region, urbanicity, organization nonprofit status, and organization type.

RESULTS

Of 18,918,914 EMS encounters, 6.4% involved pediatric patients. Documentation of complete vital signs was lowest in those <1 month old (30.8%) and rose with increasing age (highest in adults; 91.8%). Relative to adults, the adjusted odds of documented complete vital signs in patients <1 month old was 0.03 (95% CI 0.03-0.03) and increased with age to 0.76 (95% CI 0.75-0.77) in those 12-17 years old. Among those patients with respiratory, cardiac, and traumatic complaints, children had lower proportions of documented pulse oximetry, monitor use, and pain scores, respectively, compared to adults.

CONCLUSION

Documentation of complete vital signs and condition-specific assessments occurs less frequently in children, especially in younger age groups, as compared to adults, which is a finding that exists across urbanicity, region, and level of response. These findings provide a benchmark for clinical care, quality improvement, and research in the prehospital setting.

Emergency Medical Services Stroke Care Performance Variability in Michigan: Analysis of a Statewide Linked Stroke Registry

Background Emergency medical services (EMS) compliance with recommended prehospital care for patients with acute stroke is inconsistent; however, sources of variability in compliance are not well understood. The current analysis utilizes a linkage between a statewide stroke registry and EMS information system data to explore patient and EMS agency-level contributions to variability in prehospital care. Methods and Results This is a retrospective analysis of a cohort of confirmed stroke cases transported by EMS to hospitals participating in a statewide stroke registry. Using EMS information system data, the authors quantified EMS compliance with 6 performance measures derived from national guidelines for prehospital stroke care: prehospital stroke scale performance, glucose check, stroke recognition, on-scene time ≤15 minutes, time last known well documentation, and hospital prenotification. Multilevel multivariable logistic regression analysis was then used to examine associations between patient-level demographic and clinical characteristics and EMS compliance while accounting for and quantifying the variation attributable to agency of transport and recipient hospital. Over an 18-month period, EMS and stroke registry records were linked for 5707 EMS-transported stroke cases. Compliance ranged from 24% of cases for last known well documentation to 82% for documentation of a glucose check. The other measures were documented in approximately half of cases. Older age, higher National Institutes of Health Stroke Scale, and earlier presentation were associated with more compliant prehospital care. EMS agencies accounted for more than half of the variation in EMS prehospital stroke scale documentation and last known well documentation and 27% of variation in glucose check but <10% of stroke recognition and prenotification variability. Conclusions EMS stroke care remains highly variable across different performance measures and EMS agencies. EMS agency and electronic medical record type are important sources of variability in compliance with key prehospital performance metrics for stroke.

Impact of molecular sequence data completeness on HIV cluster detection and a network science approach to enhance detection

Detection of viral transmission clusters using molecular epidemiology is critical to the response pillar of the Ending the HIV Epidemic initiative. Here, we studied whether inference with an incomplete dataset would influence the accuracy of the reconstructed molecular transmission network. We analyzed viral sequence data available from ~ 13,000 individuals with diagnosed HIV (2012-2019) from Houston Health Department surveillance data with 53% completeness (n = 6852 individuals with sequences). We extracted random subsamples and compared the resulting reconstructed networks versus the full-size network. Increasing simulated completeness was associated with an increase in the number of detected clusters. We also subsampled based on the network node influence in the transmission of the virus where we measured Expected Force (ExF) for each node in the network. We simulated the removal of nodes with the highest and then lowest ExF from the full dataset and discovered that 4.7% and 60% of priority clusters were detected respectively. These results highlight the non-uniform impact of capturing high influence nodes in identifying transmission clusters. Although increasing sequence reporting completeness is the way to fully detect HIV transmission patterns, reaching high completeness has remained challenging in the real world. Hence, we suggest taking a network science approach to enhance performance of molecular cluster detection, augmented by node influence information.