scholarly journals Risk Factors of Fall-Related Emergency Department Visits by Fall Location of Older Adults in the US

2021 ◽  
Vol 22 (4) ◽  
pp. 988-999
Author(s):  
Uma Kelekar ◽  
Debasree Das Gupta ◽  
Jewel Shepherd ◽  
Anupam Sule

Introduction: Prior evidence indicates that predictors of older adult falls vary by indoor-outdoor location of the falls. While a subset of United States’ studies reports this finding using primary data from a single geographic area, other secondary analyses of falls across the country do not distinguish between the two fall locations. Consequently, evidence at the national level on risk factors specific to indoor vs outdoor falls is lacking. Methods: Using the 2017 Nationwide Emergency Department Sample (NEDS) data, we conducted a multivariable analysis of fall-related emergency department (ED) visits disaggregated by indoor vs outdoor fall locations of adults 65 years and older (N = 6,720,937) in the US. Results: Results are compatible with findings from previous primary studies. While women (relative risk [RR] = 1.43, 95% confidence interval [CI], 1.42-1.44) were more likely to report indoor falls, men were more likely to present with an outdoor fall. Visits for indoor falls were highest among those 85 years and older (RR = 2.35, 95% CI, 2.33-2.37) with outdoor fall visits highest among those 84 years and younger. Additionally, the probabilities associated with an indoor fall in the presence of chronic conditions were consistently much higher when compared to an outdoor fall. We also found that residence in metropolitan areas increased the likelihood of an indoor elderly fall compared to higher outdoor fall visits from seniors in non-core rural areas, but both indoor and outdoor fall visits were higher among older adults in higher income ZIP codes. Conclusion: Our findings highlight the contrasting risk profile for elderly ED patients who report indoor vs outdoor falls when compared to the elderly reporting no falls. In conjunction, we highlight implications from three perspectives: a population health standpoint for EDs working with their primary care and community care colleagues; an ED administrative vantage point; and from an individual emergency clinician’s point of view.

2020 ◽  
Author(s):  
Xiaodong Chen ◽  
Zeting Lin ◽  
Ran Gao ◽  
Yijian Yang ◽  
Liping Li

Abstract Background: To investigate the prevalence of falls and risk factors among older adults in urban and rural areas and to facilitate the design of fall prevention interventions.Methods: We used cluster random sampling to investigate the sociodemographic information, living habits, medical history, and falls among 649 older adult participants. Univariable and multivariable logistic regression was used to examine fall risk factors in urban and rural areas.Results: The fall rate and rate of injury from falls among older adults in urban areas were 27.3% and 18.6%, respectively, which were higher than those in rural areas (17.0% and 12.2%; P<0.05). Multivariable analysis showed that the risk factors for falls among urban older adults included a high school or below education level (OR=3.737, 95% CI: 1.503~9.291); diabetes medicine use (OR=4.518, 95% CI: 1.228~16.626); incontinence (OR=8.792, 95% CI: 1.894~40.824); lack of fall prevention education (OR = 11.907, 95% CI: 1.321~107.354); and reduced balance function (OR = 3.901, 95% CI: 1.894~7.815). The risk factors among rural older adults included a previous nonfarming occupation (OR=2.496, 95% CI: 1.416~4.398); incontinence (OR =11.396, 95% CI: 1.901~68.327); poor living environment (OR=3.457, 95% CI: 1.488~8.033); and reduced balance function (OR =4.260, 95% CI: 2.361~7.688).Discussion: The rate of falls among older adults in urban areas is higher than that in rural areas of Shantou City. Fall prevention in urban areas should target older adults with low education and modify the diabetes medication use. Interventions should focus on improving the home environment of older adults in rural areas.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Brandi L. Vollmer ◽  
Xing Chen ◽  
Erin R. Kulick ◽  
Mitchell S. V. Elkind ◽  
Amelia K. Boehme

Abstract Background The incidence and prevalence of stroke among the young are increasing in the US. Data on healthcare utilization prior to stroke is limited. We hypothesized those < 45 years were less likely than those 45–65 years old to utilize healthcare in the 1 year prior to stroke. Methods Patients 18–65 years old who had a stroke between 2008 and 2013 in MarketScan Commercial Claims and Encounters Databases were included. We used descriptive statistics and logistic regression to examine healthcare utilization and risk factors between age groups 18–44 and 45–65 years. Healthcare utilization was categorized by visit type (no visits, inpatient visits only, emergency department visits only, outpatient patient visits only, or a combination of inpatient, outpatient or emergency department visits) during the year prior to stroke hospitalization. Results Of those 18–44 years old, 14.1% had no visits in the year prior to stroke compared to 11.2% of individuals aged 45–65 [OR = 1.30 (95% CI 1.25,1.35)]. Patients 18–44 years old had higher odds of having preventive care procedures associated with an outpatient visit and lower odds of having cardiovascular procedures compared to patients aged 45–65 years. Of stroke patients aged 18–45 and 45–65 years, 16.8 and 13.2% respectively had no known risk for stroke. Conclusions Patients aged 45–65 were less commonly seeking preventive care and appeared to be seeking care to manage existing conditions more than patients aged 18–44 years. However, as greater than 10% of both age groups had no prior risk, further exploration of potential risk factors is needed.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Phoebe Tran ◽  
Lam Tran ◽  
Liem Tran

Abstract Background Due to the high prevalence of diabetes risk factors in rural areas, it is important to identify whether differences in diabetes screening rates between rural and urban areas exist. Thus, the purpose of this study is to examine if living in a rural area, rurality, has any influence on diabetes screening across the US. Methods Participants from the 2011, 2013, 2015, and 2017 nationally representative Behavioral Risk Factor Surveillance System (BRFSS) surveys who responded to a question on diabetes screening were included in the study (n = 1,889,712). Two types of marginal probabilities, average adjusted predictions (AAPs) and average marginal effects (AMEs), were estimated at the national level using this data. AAPs and AMEs allow for the assessment of the independent role of rurality on diabetes screening while controlling for important covariates. Results People who lived in urban, suburban, and rural areas all had comparable odds (Urban compared to Rural Odds Ratio (OR): 1.01, Suburbans compared to Rural OR: 0.95, 0.94) and probabilities of diabetes screening (Urban AAP: 70.47%, Suburban AAPs: 69.31 and 69.05%, Rural AAP: 70.27%). Statistically significant differences in probability of diabetes screening were observed between residents in suburban areas and rural residents (AMEs: − 0.96% and − 1.22%) but not between urban and rural residents (AME: 0.20%). Conclusions While similar levels of diabetes screening were found in urban, suburban, and rural areas, there is arguably a need for increased diabetes screening in rural areas where the prevalence of diabetes risk factors is higher than in urban areas.


2017 ◽  
Vol 2 (4) ◽  
pp. 377-384 ◽  
Author(s):  
Paramdeep Kaur ◽  
Shweta J Verma ◽  
Gagandeep Singh ◽  
Rajinder Bansal ◽  
Birinder S Paul ◽  
...  

Introduction The objective of this study is to compare the clinical profile, risk factors, type and outcome of stroke patients in urban and rural areas of Punjab, India. Methods The primary data source was from the Ludhiana urban population-based stroke registry. The data of first-ever stroke patients with age ≥18 years were collected using WHO stepwise approach from all hospitals, general practitioners, physiotherapy and scan centres between 26 March 2011 and 25 March 2013. Results A total of 4989 patients were included and out of 4989 patients, 3469 (69%) were from urban areas. Haemorrhagic stroke was seen more in rural as compared to urban regions (urban 1104 (32%) versus rural 552 (36%); p = 0.01). There were significant differences seen in stroke risk factors; hypertension (urban 1923 (84%) versus rural 926 (89%); p = 0.001) and hyperlipidaemia (urban 397 (18%) versus rural 234 (23%); p = 0.001) between two groups. In the multivariable analysis the rural patients were more likely to be younger (age < 40 years) (OR: 1.82; 95% CI: 1.24–2.68; p = 0.002), Sikhs (OR: 2.57; 95% CI: 1.26–5.22; p = 0.009), farmers (OR: 9.41; 95% CI: 5.36–16.50; p < 0.001), housewives (OR: 2.71; 95% CI: 1.45–5.06; p = 0.002), and consumed alcohol (OR: 1.57; 95% CI: 1.19–2.06; p = 0.001) as compared to urban patients. In addition, use of imaging was higher in rural patients (OR: 1.99; 95% CI: 1.06–3.74; p = 0.03) as compared to urban patients. Discussion and Conclusion In this large cohort of patients, rural and urban differences were seen in risk factors and type of stroke. Stroke prevention strategies need to take into consideration these factors including regional sociocultural practices.


Author(s):  
Abdullah Aldamigh ◽  
Afaf Alnefisah ◽  
Abdulrahman Almutairi ◽  
Fatima Alturki ◽  
Suhailah Alhtlany ◽  
...  

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S333-S334
Author(s):  
So Lim Kim ◽  
Angela Everett ◽  
Susan J Rehm ◽  
Steven Gordon ◽  
Nabin Shrestha

Abstract Background Outpatient parenteral antimicrobial therapy (OPAT) carries risk of vascular access complications, antimicrobial adverse effects, and worsening of infection. Both OPAT-related and unrelated events may lead to emergency department (ED) visits. The purpose of this study was to describe adverse events that result in ED visits and risk factors associated with ED visits during OPAT. Methods OPAT courses between January 1, 2013 and December 31, 2016 at Cleveland Clinic were identified from the institution’s OPAT registry. ED visits within 30 days of OPAT initiation were reviewed. Reasons and potential risk factors for ED visits were sought in the medical record. Results Among 11,440 OPAT courses during the study period, 603 (5%) were associated with 1 or more ED visits within 30 days of OPAT initiation. Mean patient age was 58 years and 57% were males. 379 ED visits (49%) were OPAT-related; the most common visit reason was vascular access complication, which occurred in 211 (56%) of OPAT-related ED visits. The most common vascular access complications were occlusion and dislodgement, which occurred in 99 and 34 patients (47% and 16% of vascular access complications, respectively). In a multivariable logistic regression model, at least one prior ED visit in the preceding year (prior ED visit) was most strongly associated with one or more ED visits during an OPAT course (OR 2.96, 95% CI 2.38 – 3.71, p-value &lt; 0.001). Other significant factors were younger age (p 0.01), female sex (p 0.01), home county residence (P &lt; 0.001), and having a PICC (p 0.05). 549 ED visits (71%) resulted in discharge from the ED within 24 hours, 18 (2%) left against medical advice, 46 (6%) were observed up to 24 hours, and 150 ED visits (20%) led to hospital admission. Prior ED visit was not associated with hospital admission among patients who visited the ED during OPAT. Conclusion OPAT-related ED visits are most often due to vascular access complications, especially line occlusions. Patients with a prior ED visit in the preceding year have a 3-fold higher odds of at least one ED visit during OPAT compared with patients without a prior ED visit. A strategy of managing occlusions at home and a focus on patients with prior ED visits could potentially prevent a substantial proportion of OPAT-related ED visits. Disclosures All authors: No reported disclosures.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044066
Author(s):  
Prashant Mathur ◽  
Vaitheeswaran Kulothungan ◽  
Sravya Leburu ◽  
Anand Krishnan ◽  
Himanshu Kumar Chaturvedi ◽  
...  

ObjectiveTo generate national estimates of key non-communicable disease (NCD) risk factors for adolescents (15–17 years) identified in the National NCD Monitoring Framework and, study the knowledge, attitudes and practices towards NCD risk behaviours among school-going adolescents.Design and settingA community-based, national, cross-sectional survey conducted during 2017–2018. The survey was coordinated by the Indian Council of Medical Research—National Centre for Disease Informatics and Research with 10 reputed implementing research institutes/organisations across India in urban and rural areas.ParticipantsA multistage sampling design was adopted covering ages between 15 and 69 years—adolescents (15–17 years) and adults (18–69 years). The sample included 12 000 households drawn from 600 primary sampling units. All available adolescents (15–17 years) from the selected households were included in the survey.Main outcome measuresKey NCD risk factors for adolescents (15–17 years)—current tobacco and alcohol use, dietary behaviours, insufficient physical activity, overweight and obesity.ResultsOverall, 1402 households and 1531 adolescents completed the survey. Prevalence of current daily use of tobacco was 3.1% (95% CI: 2.0% to 4.7%), 25.2% (95% CI: 22.2% to 28.5%) adolescents showed insufficient levels of physical activity, 6.2% (95% CI: 4.9% to 7.9%) were overweight and 1.8% (95% CI: 1.0% to 2.9%) were obese. Two-thirds reported being imparted health education on NCD risk factors in their schools/colleges.ConclusionThe survey provides baseline data on NCD-related key risk factors among 15–17 years in India. These national-level data fill information gaps for this age group and help assess India’s progress towards NCD targets set for 2025 comprehensively. Though the prevalence of select risk factors is much lower than in many developed countries, this study offers national evidence for revisiting and framing appropriate policies, strategies for prevention and control of NCDs in younger age groups.


2016 ◽  
Vol 64 (4) ◽  
pp. 870-874 ◽  
Author(s):  
Lauren T. Southerland ◽  
Julie A. Stephens ◽  
Shari Robinson ◽  
James Falk ◽  
Laura Phieffer ◽  
...  

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