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Impact of law enforcement-related deaths of unarmed black New Yorkers on emergency department rates, New York 2013–2016
  1. Sze Yan Liu1,2,
  2. Sungwoo Lim2,
  3. L Hannah Gould2
  1. 1 Department of Public Health, Montclair State University, Montclair, New Jersey, USA
  2. 2 Division of Epidemiology, New York City Department of Health and Mental Hygiene, Long Island City, New York, USA
  1. Correspondence to Sze Yan Liu, Department of Public Health, Montclair State University, Montclair, NJ, USA; lius{at}montclair.edu

Abstract

Background Law enforcement-related deaths of unarmed black Americans may lead black communities to distrust public institutions. Our study quantifies the impact of law enforcement-related deaths of black New York residents on the use of hospital emergency departments (ED) during 2013–2016.

Methods We used regression discontinuity models stratified by race and time period (2013–2015 and 2015–2016) to estimate the impact of law enforcement-related deaths on ED rates. Dates of deaths and media reports were from the Mapping Police Violence database. We calculated the daily overall and condition-specific ED visit rates from the New York’s Statewide Planning and Research Cooperative System.

Results There were 14 law enforcement-related deaths of unarmed black New York residents from 2013 to 2016. In 2013–2014, the ED rate among black New Yorkers decreased by 7.7 visits per 100 000 black New Yorkers (5% less than the average ED rate) using the date of media report as the cut-off with a 2-week exposure window. No changes in ED rates were noted for black New Yorkers in 2015–2016 or for white New Yorkers in either time period. Models using the date of death followed a similar pattern.

Conclusion The decrease in ED rates among black New Yorkers immediately following media reports of law enforcement-related deaths involving unarmed black New Yorkers during 2013–2014 may represent potentially harmful delays in healthcare. Reforms implemented during 2015–2016 might have modified the impact of these deaths. Further investigation into the population health impacts of law enforcement-related deaths is needed.

  • Health services
  • Policy
  • Access to hlth care

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BACKGROUND

The police force in the USA has a long history of using excessive force against racial minorities, particularly blacks.1 The public’s response to this injustice has ranged from riots in Los Angeles after the acquittal of the police officers charged with killing Rodney King in 1991 to protests and the creation of the Black Lives Matter (BLM) after the acquittal of the Trayvon Martin’s killer in 2013. Recently, the death of George Floyd in May 2020 further transformed this movement to a global protest.2 Despite this ongoing crisis, little is known about the public health impacts of law enforcement-related deaths of unarmed black Americans.

These deaths might lead to collective trauma in the black community. Collective trauma refers to a psychological reaction to a traumatic event that affects a community and ‘results from human behaviour that is politically motivated and has political consequences. Such an event injures in one sharp state, penetrating all psychological defensive barriers of participants and observers, allowing no space for denial mechanisms and thus leaving those affected with an acute sense of vulnerability and fragility’.3 Given the history of race-based traumatic events perpetuated by those in positions of power in the USA, people of colour might be affected when learning about law enforcement-related deaths of unarmed victims in their community.

Law enforcement-related deaths of unarmed black Americans reflect the larger system of structural racism, defined as the systems in which public policies, institutional practices, cultural representations and other norms work in various, often reinforcing ways to perpetuate racial inequities in the USA.4 5 Experiences of interpersonal racism increase the odds of delayed healthcare or unmet medical need,6 7 exacerbating health disparities if increased mistrust is coupled with underutilisation of emergency healthcare services. Aggressive policing practices and police maltreatment are also associated with adverse health outcomes among populations that are most affected.8–10 Furthermore, an emerging body of research has found an association between law enforcement-related deaths and increased mental health symptoms and self-reported poor mental health among black Americans.11 12

Aggressive policing of black Americans is symptomatic of injustice,13 and might lead to institutional mistrust. Institutional mistrust is the perception of the unfairness and ineffectiveness of establishment in charge or position.14 Institutional mistrust may result if communities believe public institutions have not fairly fulfilled their social responsibilities.15 For example, the widespread disclosure of the Tuskegee study led to increased medical mistrust, decreased healthcare utilisation and increased mortality for older black men.16 Other studies have shown that greater mistrust for healthcare providers among black Americans is associated with the underutilisation of healthcare services.17 18 Separately, another study found a decrease in crime-related 911 calls from predominantly black communities after a well-publicised case of police violence against an unarmed black man.19

Institutional betrayal of social trust could lead to cross-institutional avoidance. We hypothesise that law enforcement-related deaths of unarmed black Americans will lead to mistrust of other public institutions such as hospital emergency departments (ED). Specifically, we tested two hypotheses: (1) ED utilisation among black New York residents will decrease immediately after the public becomes aware of a law enforcement-related death of an unarmed black New Yorker; (2) this effect will be modified by the larger societal context (ie, implementation of policies and programmes promoting police accountability, different political climate). We further explored whether any changes in ED utilisation are specific to mental health-related or ambulatory care-sensitive conditions (ACS).

METHODS

We used incident-level ED outpatient data from the New York’s Statewide Planning and Research Cooperative System (SPARCS) for 2013–2016. SPARCS is a comprehensive source of data on hospitalisations and ED visits in New York State (NYS).20 It includes information on patient demographic characteristics, facility type, diagnosis and procedure codes, admission and discharge dates for all of NYS. Law enforcement-related deaths were identified in the Mapping Police Violence (MPV) database, which collects details about these incidents in the USA from various media and crowd-sourced sources, including date of event and date of media ascertainment.21 We limited our analysis to incidents that occurred in NYS during 2013–2016, involved an unarmed black victim, and was not a murder-suicide committed by the police officer.

We calculated daily overall NYS ED visit rates for NYS residents who visited an ED at any hospital in NYS using race-specific visits as the numerator and Census 2010 race-specific NYS population estimates for the denominator. We had a sample size of 730 days for the 2013–2014 models and 565 days for the 2015–2016 model with a 2 weeks window.

We estimated the average effect at the cut-off (ie, time immediately after the law enforcement related-death or media report) using the regression discontinuity framework. Regression discontinuity assumes the timing of events is random and unrelated to ED temporal trends. We ran regression discontinuity models restricting the sample to an algorithm-determined mean-squared error optimal bandwidth around the date of the death.22 We varied the exposure period as 2–4 weeks after a law enforcement-related death. Previous studies suggest the largest effects occurred in the first month after the experience of collective traumatic incidents23 and police killings.12 To account for residual temporal variation, we adjusted for season and day of week as dummy variables and the year as a binary variable. All models were calculated with robust CIs.

To test our first hypothesis that there is a spillover effect into the community from knowledge of a law enforcement-related death we ran separate models using the media story release date and the actual incident date as the cut-off. To address our second hypothesis that effect may differ by the larger sociopolitical context, we stratified our analysis by time periods (2013–2014 and 2015–2016). The years 2013–2014 and 2015–2016 mark the beginning of different political, social and legal contexts. For example, public awareness and community mobilisation calling for actions addressing police accountability began to build in 2013–2014.24 By 2015–2016, national and local policies and programmes had been implemented to specifically address police accountability, reflecting growing public activism surrounding such law enforcement-related deaths.

We conducted a sensitivity analyses using 14 randomly chosen dates during 2013–2016. We also conducted a subanalyses examining mental health and ACS-specific ED rates. We used ICD-9 and ICD-10 diagnosis codes to identify mental health (defined as a visit with a mental health principal or secondary diagnosis)25 26 and ACS-related visits (defined as a visit with a principal ACS-related code, online appendix table 1).27 28 All analyses were stratified by race, conducted using the Robust Data Driven Statistical Inference in Regression-Discontinuity Designs (rdrobust) package in R and calculated with robust CIs.22 29

Table 1

Race-specific discontinuity regression results for overall New York State emergency department visit rates per 100 000 for 2013–2016*

Supplemental material

RESULTS

In 2013–2016, there were 14 law enforcement-related deaths in NYS (6 in NYC) that met our eligibility criteria (figure 1). Twelve were reported by the media within 1 day of death. The annual number of incidents ranged from two in 2013 to seven in 2015. On average, ED rates were consistently higher for black compared with white New Yorkers. In 2013–2014, there was a sharp discontinuity in the ED rates for blacks immediately after a media report of on law enforcement-related deaths and a smaller discontinuity noted in 2015–2016 (figure 2).

Figure 1

Timeline of media report dates for law enforcement-related deaths of unarmed black New Yorkers, 2013–2016.

Figure 2

A vertical line at day 0 indicates the day the press story of law enforcement-related death of an unarmed black person in New York State. Dots are the daily race-specific ED rates per 100,000 persons. We used nonparametric locally weighted smoothing to fit the trend line in the ED rates separately before and after a law enforcement-related death stratified by race.

Table 1 compares the race-specific results stratified by time period. Table 1 also summarises the differences in the results when using the date of media reporting, date of death or randomly generated dates as the cut-off (n=730 for 2013–2014). Using the date of the first media report for the cut-off and a 2-week exposure window, we found a decrease of 7.7 visits per 100 000 black New Yorkers (5% less than the daily average ED rate of 145 visits per 100 000 among black New Yorkers) in 2013–2014. Results were similar when we varied the time window (eg, decrease of 7.9 visits per 100 000 among black New Yorkers using a 4-week window). We found a smaller, non-significant decrease using the date of death as the cut-off (eg, decrease of 5.4 visits per 100 000 black New Yorkers). During 2015–2016, overall ED rates did not significantly change after a law enforcement-related death of an unarmed black New Yorker. Among white New Yorkers, the ED rate did not change using any model specification. Sensitivity analyses using randomly chosen dates did not yield statistically significant results for any of the race stratified models.

In subanalyses, we found no statistically significant difference in ACS ED rate for blacks or whites in 2014–2015 or in 2015–2016. Model results for mental health-related ED rates also did not differ by race or model specifications (online appendix tables 2–3). The principal diagnoses for black and white New Yorkers were similar before and after a law enforcement-related death in 2015–2016 (results not shown).

DISCUSSION

Our study found a decrease in the number of ED visits by black New Yorkers following the media report of law enforcement-related deaths of unarmed black New Yorkers during 2013–2014. In contrast, we did not observe a similar decrease among black in 2015–2016, nor for white New Yorkers during either time period. We found smaller estimates when we used the death instead of the media report date. The difference between using the date of death compared with the date of the first media report suggests knowledge diffusion of the deaths leads to community-level effects. Our results examining ACS-specific ED rates and mental health-related ED rates were not statistically significant for any models.

One possible explanation for the difference ED rates for black New Yorkers between these two time periods is the increased emphasis on police accountability in policy making and public discourse in 2015. Although there was rising activism in 2013, the community mobilisation needed to address police reforms did not gain momentum until 2015.30 By 2015, policies and programmes addressing police accountability were implemented in the federal, state and local levels. Nationally, the Death in Custody Reporting Act (HR 1447) which required states who receive certain federal funding to provide information about the death of any person who is detained, arrested, en route to incarceration, or incarcerated in state or local facilities or at a boot camp prison to the Attorney General. It also included the National Initiative for Building Community Trust and Justice, a programme designed to improve relationships between law enforcement and communities of colour. On the state level, police accountability initiatives implemented in 2015 include the New York State Executive Order 8.147 which appointed the state’s attorney general as special prosecutor in cases where law enforcement officers were involved in the deaths of civilians. Locally, the New York City Police Department implemented three programmes starting in 2015: a neighbourhood policing programme where neighbourhood coordination officers serve as a liaison between the police and the community to strengthen and better address community concerns,30 a pilot programme for police officers to wear body cameras, and an annual 3-day training on the use of force.31 Initiatives, such as those described above, might improve community trust in police. According to national polls, Americans’ reported confidence in the police decreased from 57% in 2013, to 53% in 2014 and 52% in 2015 before rebounded to 56% in 2016 with whites consistently reporting more trust in the police than blacks.32 33 A recent qualitative study also found the public’s perception of how socially equitable their local police department was increased when police departments had community policing programmes that increase citizen involvement and required staff to undergo more ethics training.34 Further research is needed to understand whether effective police accountability policies and programmes may lead communities to greater trust in social institutions even in the event of community tragedies such as law enforcement-related deaths.

Other possible explanations for the difference in results for black ED rates between these two time periods is habituation as police killings of unarmed black individuals became more frequent in 2015–2016. Previous studies have shown that African American youth exposed to high levels of chronic community violence may become desensitised to violence.35 36 The lack of statistically significant changes in ED visits might also partially be a methodological artefact. The shortened time span between deaths in 2015 might preclude our ability to detect any sharp, immediate effect.

Our subanalyses examining mental health and ACS-related ED rates suggest the decrease in the overall rates was not driven by decrease in these specific ED rates. While a previous study found worst self-reported mental health among black Americans after law enforcement-related deaths,12 we did not note any changes in mental health-related ED rates. This is potentially problematic if there is an increased need for mental healthcare among black Americans after law enforcement-related deaths but there is no change in mental health utilisation. The lack of statistical significance in our ACS-specific ED rates and mental health-related ED rates for any models may be because of lack of statistical power. We also note the change from ICD-9 to ICD-10 coding may have especially affected the results for the ACS-specific conditions because there may be additional ICD-10 codes for these conditions that were not captured in our analysis. More studies examining specific conditions may be helpful.

Further research is also needed to better understand possible longer-term community-level impact of law enforcement-related deaths. While our analysis estimated immediate changes in ED rates, we did not observe any long-term decreases in ED rates in exploratory trend analyses (ie, descriptive statistics and trend lines showed no long-term decrease in ED rates for black New Yorkers).

There are several limitations to our study. The MPV database might not have included all law enforcement-related deaths. The impact of additional, unreported events is unknown, and we did not measure the impact of events occurring outside of NYS. However, these findings suggest that the presence of other events would likely have biased these results towards the null. Although we hypothesised an immediate effect in ED-seeking behaviour following such deaths, there might be a lagged effect not captured in our analysis. Our model includes an indicator variable for whether the first media report of a law enforcement-related death occurred in the previous week. Because we used administrative claims data, there might be misclassification of mental health principal diagnosis and race. However, such misclassification should be random and unrelated to timing of law enforcement-related deaths incidents. There are variations in how race is ascertained and categorised in each hospital facility. However, a recent analysis found a relatively high sensitivity and positive predictive value for SPARCS compared with NYC birth certificates for non-Latino white and black race categories.37 SPARCS transitioned from the use of ICD-9 to ICD-10 codes during September–October 2015; this is unlikely to have biased our results because none of the exposure periods for the individual incidents overlapped the transition period. Finally, our analysis has limited generalisability because it focused only on limited number of clearly documented incidents in NYS and does not extend to other healthcare settings.

Law enforcement-related deaths of unarmed black Americans reflect the larger system of structural racism.4 5 Political mobilisation might be one effective strategy to make policing fair for all racial groups,38 but antiracist policy achievements are fragile and their continuation is subject to the current political climate.39 For example, several of the national reforms implemented during the Obama administration have been challenged under the Trump administration. Among these, the Trump administration has significantly scaled back the Justice Department’s Collaborative Reform programme, in which local police departments voluntarily collaborated with the Justice Department to improve trust between local police and the public.40

In 2020, the law enforcement-related deaths of George Floyd and Breonna Taylor again brought the structural racism in the criminal justice system into the larger political awareness. Black communities may experience increased COVID rates if the current circumstances around the deaths of George Floyd, Breanna Taylor and others lead to lower healthcare-seeking behaviour. This study establishes the need for further investigation into the health effects of law enforcement-related deaths. Further research is needed to better understand the mechanisms involved and to describe cross-institutional impacts of these events, locally and in other jurisdictions. It is important that we continue to acknowledge the breadth of incidents that contribute to collective trauma for communities of colour. This will help guide and support long-term effective interventions that can potentially prevent and address the impact of law enforcement-related deaths on black communities.

What is already known on this topic

  • Law enforcement-related violence against unarmed black Americans has a spillover effect to the greater black community.

  • Existing public health studies focused on changes in reported mental health symptoms and existing sociological research focused on changes in crime-related 911 calls in black communities after law enforcement-related violence against unarmed black Americans.

What this study adds

  • We hypothesise law enforcement-related deaths of unarmed black New Yorkers is an act of collective trauma, leading the greater black community to distrust and avoid public institutions such as hospital emergency rooms. In 2013–2014, we found a decrease in ED rate among black New Yorkers immediately following media reports of law enforcement-related deaths of unarmed black New Yorkers. This decrease may represent potentially dangerous delays in healthcare. We did not find any statistically significant change in black ED rates in 2015–2016. Possible reasons for this difference between these two time periods might include an increased number of police accountability programmes and the continued occurrence of such deaths.

REFERENCES

Footnotes

  • Contributors The authors made the following contributions: SYL designed the study, analysed data, interpreted the results and wrote the paper. SL contributed analytic tools, interpreted results and wrote the paper. LHG interpreted results and wrote the paper. All authors contributed to the review and editing of drafts of the article.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data may be obtained from a third party and are not publicly available.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.