19 research outputs found

    Location of Violent Crime Relative to Trauma Resources in Detroit: Implications for Community Interventions

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    Introduction: Detroit, Michigan, is among the leading United States cities for per-capita homicide and violent crime. Hospital- and community-based intervention programs could decrease the rate of violent-crime related injury but require a detailed understanding of the locations of violence in the community to be most effective.Methods: We performed a retrospective geospatial analysis of all violent crimes reported within the city of Detroit from 2009-2015 comparing locations of crimes to locations of major hospitals. We calculated distances between violent crimes and trauma centers, and applied summary spatial statistics.Results: Approximately 1.1 million crimes occurred in Detroit during the study period, including approximately 200,000 violent crimes. The distance between the majority of violent crimes and hospitals was less than five kilometers (3.1 miles). Among violent crimes, the closest hospital was an outlying Level II trauma center 60% of the time.Conclusion: Violent crimes in Detroit occur throughout the city, often closest to a Level II trauma center. Understanding geospatial components of violence relative to trauma center resources is important for effective implementation of hospital- and community-based interventions and targeted allocation of resources.

    Evaluating the pediatric mental health care continuum at an American health system

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    OBJECTIVE: To describe trends in the pediatric mental health care continuum and identify potential gaps in care coordination. METHODS: We used electronic medical record data from October 2016 to September 2019 to characterize the prevalence of mental health issues in the pediatric population at a large American health system. This was a single institution case study. From the electronic medical record data, primary mental health discharge and readmission diagnoses were identified using RESULTS: Major depressive disorder and other mood disorders comprised 49.6% and 89.4% of diagnoses in the emergency department and inpatient settings respectively compared to 9.0% of ambulatory care diagnoses and were among top reasons for readmission. Additionally, only 1% of all ambulatory care encounters had a care navigation component, whereas 86% of care navigation encounters were for mental health-associated reasons. CONCLUSIONS: Major depressive disorder and other mood disorders were more common diagnoses in the emergency department and inpatient settings, which could signal gaps in care coordination. Bridging potential gaps in care coordination could reduce emergency department and inpatient utilization through increasing ambulatory care navigation resources, improving training, and restructuring financial incentives to facilitate ambulatory care diagnosis and management of major depressive disorder and mood disorders. Furthermore, health systems can use our descriptive analytic approach to serve as a reasonable measure of the current state of pediatric mental health care in their own patient population

    The impact of a large-scale power outage on hemodialysis center operations

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    INTRODUCTION: On June 29, 2012, mid-Atlantic storms resulted in a large-scale power outage affecting up to three million people across multiple (US) states. Hemodialysis centers are dependent on electricity to provide dialysis care to end-stage renal disease patients. The objective of thisstudy was to determine how the power outage impacted operations in a sample of hemodialysis centers in the impacted regions. METHODS: The sample consisted of all hemodialysis centers located in the District of Columbia and a total of five counties with the largest power losses in West Virginia, Virginia, and Maryland. A semi-structured interview guide was developed, and the charge nurse or supervisor in each facility was interviewed. The survey questions addressed whether their centers lost power, if so, for how long, where their patients received dialysis, whether their centers had backup generators, and if so, whether they had any problems operating them, and whether their center received patients from other centers if they had power. RESULTS: Calls were placed to 90 dialysis centers in the sampled areas and a 90% response rate was achieved. Overall, hemodialysis operations at approximately 30% (n = 24) of the centers queried were impacted by the power outage. Of the 36 centers that lost power, 31% (n = 11) referred their patients to other dialysis centers, 22% (n = 8) accommodated their patients during a later shift or on a different day; the rest of the centers either experienced brief power outages that did not affect operations or experienced a power outage on days that the center is usually closed. Some centers in the study cohort reported receiving patients from other centers for dialysis 33% (n = 27). Thirty-two percent (n = 26) of the centers queried had backup generators on site. Eleven percent (n = 4) of the centers experiencing power outages reported that backup generators were brought in by their parent companies. CONCLUSIONS: Comprehensive emergency planning for dialysis centers should include provisions for having backup generators on site, having plans in place for the timely delivery of a generator during a power outage, or having predesignated backup dialysis centers for patients to receive dialysis during emergencies. Most dialysis centers surveyed in this study were able to sustain continuity of care by implementing such pre-existing emergency plans

    Location of Violent Crime Relative to Trauma Resources in Detroit: Implications for Community Interventions.

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    INTRODUCTION: Detroit, Michigan, is among the leading United States cities for per-capita homicide and violent crime. Hospital- and community-based intervention programs could decrease the rate of violent-crime related injury but require a detailed understanding of the locations of violence in the community to be most effective. METHODS: We performed a retrospective geospatial analysis of all violent crimes reported within the city of Detroit from 2009-2015 comparing locations of crimes to locations of major hospitals. We calculated distances between violent crimes and trauma centers, and applied summary spatial statistics. RESULTS: Approximately 1.1 million crimes occurred in Detroit during the study period, including approximately 200,000 violent crimes. The distance between the majority of violent crimes and hospitals was less than five kilometers (3.1 miles). Among violent crimes, the closest hospital was an outlying Level II trauma center 60% of the time. CONCLUSION: Violent crimes in Detroit occur throughout the city, often closest to a Level II trauma center. Understanding geospatial components of violence relative to trauma center resources is important for effective implementation of hospital- and community-based interventions and targeted allocation of resources

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

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    Abstract Objective The study was done to evaluate levels of missing and invalid values in the Michigan (MI) National Emergency Medical Services Information System (NEMSIS) (MI-EMSIS) and explore possible causes to inform improvement in data reporting and prehospital care quality. Methods We used a mixed-methods approach to study trends in data reporting. The proportion of missing or invalid values for 18 key reported variables in the MI-EMSIS (2010–2015) dataset was assessed overall, then stratified by EMS agency, software platform, and Medical Control Authorities (MCA)—regional EMS oversight entities in MI. We also conducted 4 focus groups and 10 key-informant interviews with EMS participants to understand the root causes of data missingness in MI-EMSIS. Results Only five variables of the 18 studied exhibited less than 10% missingness, and there was apparent variation in the rate of missingness across all stratifying variables under study. No consistent trends over time regarding the levels of missing or invalid values from 2010 to 2015 were identified. Qualitative findings indicated possible causes for this missingness including data-mapping issues, unclear variable definitions, and lack of infrastructure or training for data collection. Conclusions The adoption of electronic data collection in the prehospital setting can only support quality improvement if its entry is complete. The data suggest that there are many EMS agencies and MCAs with very high levels of missingness, and they do not appear to be improving over time, demonstrating a need for investment in efforts in improving data collection and reporting.http://deepblue.lib.umich.edu/bitstream/2027.42/173260/1/12245_2021_Article_343.pd
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