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Association of neighborhood characteristics with bystander-initiated CPR.

ABSTRACT: For persons who have an out-of-hospital cardiac arrest, the probability of receiving bystander-initiated cardiopulmonary resuscitation (CPR) may be influenced by neighborhood characteristics.We analyzed surveillance data prospectively submitted from 29 U.S. sites to the Cardiac Arrest Registry to Enhance Survival between October 1, 2005, and December 31, 2009. The neighborhood in which each cardiac arrest occurred was determined from census-tract data. We classified neighborhoods as high-income or low-income on the basis of a median household income threshold of $40,000 and as white or black if more than 80% of the census tract was predominantly of one race. Neighborhoods without a predominant racial composition were classified as integrated. We analyzed the relationship between the median income and racial composition of a neighborhood and the performance of bystander-initiated CPR.Among 14,225 patients with cardiac arrest, bystander-initiated CPR was provided to 4068 (28.6%). As compared with patients who had a cardiac arrest in high-income white neighborhoods, those in low-income black neighborhoods were less likely to receive bystander-initiated CPR (odds ratio, 0.49; 95% confidence interval [CI], 0.41 to 0.58). The same was true of patients with cardiac arrest in neighborhoods characterized as low-income white (odds ratio, 0.65; 95% CI, 0.51 to 0.82), low-income integrated (odds ratio, 0.62; 95% CI, 0.56 to 0.70), and high-income black (odds ratio, 0.77; 95% CI, 0.68 to 0.86). The odds ratio for bystander-initiated CPR in high-income integrated neighborhoods (1.03; 95% CI, 0.64 to 1.65) was similar to that for high-income white neighborhoods.In a large cohort study, we found that patients who had an out-of-hospital cardiac arrest in low-income black neighborhoods were less likely to receive bystander-initiated CPR than those in high-income white neighborhoods. (Funded by the Centers for Disease Control and Prevention and others.).

SUBMITTER: Sasson C

PROVIDER: S-EPMC3515681 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

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Association of neighborhood characteristics with bystander-initiated CPR.

Sasson Comilla C Magid David J DJ Chan Paul P Root Elisabeth D ED McNally Bryan F BF Kellermann Arthur L AL Haukoos Jason S JS

The New England journal of medicine 20121001 17

<h4>Background</h4>For persons who have an out-of-hospital cardiac arrest, the probability of receiving bystander-initiated cardiopulmonary resuscitation (CPR) may be influenced by neighborhood characteristics.<h4>Methods</h4>We analyzed surveillance data prospectively submitted from 29 U.S. sites to the Cardiac Arrest Registry to Enhance Survival between October 1, 2005, and December 31, 2009. The neighborhood in which each cardiac arrest occurred was determined from census-tract data. We class ...[more]

PMID: 23094722

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Project description:BACKGROUND AND OBJECTIVES:Early bystander cardiopulmonary resuscitation (CPR) is one of the most important predictors of out-of-hospital cardiac arrests (OHCA) survival. There is a dearth of literature on CPR engagement in countries such as Ghana, where cardiovascular events are increasingly prevalent. In this study, we sought to evaluate Ghanaians' knowledge of and attitudes towards bystander CPR, in the context of the country's nascent emergency medicine network. METHODS:Capitalizing on the growing ubiquity and use of social media across the country, we used a novel social media sampling strategy for this study. We created, pre-tested, and distributed an online survey, using the two most utilized social media platforms in Ghana: WhatsApp and Facebook. An airtime data incentive of 5 US dollars, worth between 5 and 10 GB of cellular data based on mobile phone carrier, was provided as incentive. Inclusion criteria were (1) ? 18 years of age, (2) living in Ghana. Survey participants were encouraged to distribute the survey within their own networks to expand its reach. We stratified participants' responses by healthcare affiliation, and further grouped healthcare workers into ambulance and non-ambulance personnel. We used chi-square (?2)/Fisher's Exact tests to compare differences in responses between the groups. Based on the question "have you ever heard of CPR?", an alpha of 0.05 and a 95% confidence interval, we expected to have 80% power to detect a 15% difference in responses between lay and healthcare providers with an estimated sample size of 246 study participants. RESULTS:The survey was launched on 8 July 2019 and closed approximately 51 h post-launch. With a 64% completion rate and 479 unique survey completions, the study was overpowered at 96% power, to detect differences in responses between the groups. There was geographic representation across all 10 historic regions of Ghana. Over half (57.8%, n = 277) of the respondents were non-medically affiliated, and 71.9% were women. Healthcare workers were more aware of CPR than lay respondents (96.5% vs 68.1%; p < 0.001). Eighty-five percent of respondents were aware that CPR involves chest compressions, and almost 70% indicated that "mouth to mouth" is a necessary component of CPR. Fewer than 10% were unwilling to administer CPR. Lack of skills (44.9%) and fear of causing harm (25.5%) were barriers noted by respondents for not administering CPR. Notably, a quarter of ambulance workers reported never having received CPR training. If they were to witness a collapse, 62.0% would call an ambulance, and 32.6% would hail a taxi. CONCLUSION:The majority of participants are willing to perform CPR. Contextualized training that emphasizes hands-only CPR and builds participants' confidence may increase bystander willingness and engagement.

Project description:BACKGROUND:Neighborhood characteristics have been linked to health outcomes. Various mechanisms link neighborhoods and health outcomes; sleep patterns may be 1 contributor; however, little is known about the social determinants of disordered sleep. We examined the association of neighborhood characteristics with sleep duration and daytime sleepiness. METHODS:Participants (n = 801) enrolled as pairs (55 without pair), from 10 churches in the Stroke Health and Risk Education project; 760 were included for analysis (41 withdrew). Sleep duration (hours of sleep at night) and daytime sleepiness (adaptation of Berlin questionnaire; range, 0-3 [more daytime sleepiness]) were self-reported. Neighborhood characteristics included disadvantage, per capita violent crime (census tract level), and safety (self-reported and individual level). We fit generalized linear mixed models and multinomial and binomial logistic regression models to examine the associations between neighborhood characteristics and sleep outcomes while accounting for the clustering within churches and pairs, before and after adjustment for self-reported confounders (age, gender, income, education, body mass index, depressive symptoms, hypertension, and diabetes). RESULTS:The mean hours of sleep duration is 6.7 ± 1.2, and the mean daytime sleepiness is 0.8 ± 0.9. Neighborhood characteristics were not associated with sleep duration. Higher perceived neighborhood safety was associated with an 18.4% lower odds of daytime sleepiness in the unadjusted model (odds ratio, 0.82 [95% confidence interval, 0.69-0.96]). The association was attenuated in the fully adjusted model. Neighborhood disadvantage and violent crime were related to lower daytime sleepiness; however, associations were not statistically significant. CONCLUSION:Self-reported neighborhood safety was associated with lower daytime sleepiness. Future exploration of the pathways linking neighborhood characteristics and sleep is warranted.

Project description:BACKGROUND:Bystander cardiopulmonary resuscitation (B-CPR) delivery and survival after out-of-hospital cardiac arrest vary at the neighborhood level, with lower survival seen in predominantly black neighborhoods. Although the Hispanic population is the fastest-growing minority population in the United States, few studies have assessed whether the proportion of Hispanic residents in a neighborhood is associated with B-CPR delivery and survival from out-of-hospital cardiac arrest. We assessed whether B-CPR rates and survival vary by neighborhood-level ethnicity. We hypothesized that neighborhoods with a higher proportion of Hispanic residents have lower B-CPR rates and lower survival. METHODS:We conducted a retrospective cohort study using data from the Resuscitation Outcomes Consortium Epistry at US sites. Neighborhoods were classified by census tract based on percentage of Hispanic residents: <25%, 25% to 50%, 51% to 75%, or >75%. We independently modeled the likelihood of receipt of B-CPR and survival by neighborhood-level ethnicity controlling for site and patient-level confounding characteristics. RESULTS:From 2011 to 2015, the Resuscitation Outcomes Consortium collected 27 481 US arrest events; after excluding pediatric arrests, emergency medical services-witnessed arrests, or arrests occurring in a healthcare or institutional facility, 18 927 were included. B-CPR was administered in 37% of events. In neighborhoods with <25% Hispanic residents, B-CPR was administered in 39% of events, whereas it was administered in 27% of events in neighborhoods with >75% Hispanic residents. Compared with <25% Hispanic neighborhoods in a multivariable analysis, out-of-hospital cardiac arrest in predominantly Hispanic neighborhoods had lower B-CPR rates (51% to 75% Hispanic: odds ratio, 0.79 [CI, 0.65-0.95], P=0.014; >75% Hispanic: odds ratio, 0.72 [CI, 0.55-0.96], P=0.025) and lower survival rates (global P value 0.029; >75% Hispanic: odds ratio, 0.56 [CI, 0.34-0.93], P=0.023). CONCLUSIONS:Individuals with out-of-hospital cardiac arrest in predominantly Hispanic neighborhoods were less likely to receive B-CPR and had lower likelihood of survival. These findings suggest a need to understand the underlying disparities in cardiopulmonary resuscitationdelivery and an unmet cardiopulmonary resuscitationtraining need in Hispanic communities.

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Association of neighborhood characteristics with bystander-initiated CPR.

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Association of neighborhood characteristics with bystander-initiated CPR.

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