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1.
J Med Internet Res ; 23(2): e23720, 2021 02 26.
Article in English | MEDLINE | ID: mdl-33571103

ABSTRACT

BACKGROUND: Health behavior is influenced by culture and social context. However, there are limited data evaluating the scope of these influences on COVID-19 response. OBJECTIVE: This study aimed to compare handwashing and social distancing practices in different countries and evaluate practice predictors using the health belief model (HBM). METHODS: From April 11 to May 1, 2020, we conducted an online, cross-sectional survey disseminated internationally via social media. Participants were adults aged 18 years or older from four different countries: the United States, Mexico, Hong Kong (China), and Taiwan. Primary outcomes were self-reported handwashing and social distancing practices during COVID-19. Predictors included constructs of the HBM: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action. Associations of these constructs with behavioral outcomes were assessed by multivariable logistic regression. RESULTS: We analyzed a total of 71,851 participants, with 3070 from the United States, 3946 from Mexico, 1201 from Hong Kong (China), and 63,634 from Taiwan. Of these countries, respondents from the United States adhered to the most social distancing practices (χ23=2169.7, P<.001), while respondents from Taiwan performed the most handwashing (χ23=309.8, P<.001). Multivariable logistic regression analyses indicated that self-efficacy was a positive predictor for handwashing (odds ratio [OR]United States 1.58, 95% CI 1.21-2.07; ORMexico 1.5, 95% CI 1.21-1.96; ORHong Kong 2.48, 95% CI 1.80-3.44; ORTaiwan 2.30, 95% CI 2.21-2.39) and social distancing practices (ORUnited States 1.77, 95% CI 1.24-2.49; ORMexico 1.77, 95% CI 1.40-2.25; ORHong Kong 3.25, 95% CI 2.32-4.62; ORTaiwan 2.58, 95% CI 2.47-2.68) in all countries. Handwashing was positively associated with perceived susceptibility in Mexico, Hong Kong, and Taiwan, while social distancing was positively associated with perceived severity in the United States, Mexico, and Taiwan. CONCLUSIONS: Social media recruitment strategies can be used to reach a large audience during a pandemic. Self-efficacy was the strongest predictor for handwashing and social distancing. Policies that address relevant health beliefs can facilitate adoption of necessary actions for preventing COVID-19. Our findings may be explained by the timing of government policies, the number of cases reported in each country, individual beliefs, and cultural context.


Subject(s)
COVID-19/prevention & control , COVID-19/psychology , Health Belief Model , Social Media , Adolescent , Adult , Cross-Sectional Studies , Disease Transmission, Infectious/prevention & control , Female , Humans , Male , Middle Aged , Pandemics , SARS-CoV-2/isolation & purification , Surveys and Questionnaires , Young Adult
2.
Prehosp Emerg Care ; 25(1): 103-116, 2021.
Article in English | MEDLINE | ID: mdl-32091292

ABSTRACT

OBJECTIVE: Trauma centers provide coordinated specialty care and have been demonstrated to save lives. Many states do not have a comprehensive statewide trauma system. Variable geography, resources, and population distributions present significant challenges to establishing an effective uniform system for pediatric trauma care. We aimed to identify patterns of primary (field) triage and transfer of serious pediatric trauma throughout California. We hypothesized that pediatric primary triage to trauma center care would be positively associated with younger age, increased injury severity, and local emergency medical service (EMS) regions with increased resources. We hypothesized that pediatric trauma transfer would be associated with younger age, increased injury severity, and rural regions with decreased resources. Methods: We conducted a retrospective cohort study of the California Office of Statewide Health Planning and Development emergency department and inpatient discharge data (2005-2015). All patients with serious injury, defined as Injury Severity Score (ISS) >9 were included. Demographic, injury, hospital, and regional characteristics such as distances between patient residence and destination hospitals were tabulated. Univariate and multinomial logit analyses were conducted to analyze individual, hospital, and regional characteristics associated with the outcomes of location of primary triage and transfer. Estimates were converted into predicted probabilities for ease of data interpretation. Results: Primary triage to was to either a pediatric trauma center (37.8%), adult level I/II trauma center (35.0%), adult level III/IV trauma center (1.9%), pediatric non-trauma hospital (3.4%), or an adult non-trauma hospital (21.9%).Younger age, private non-HMO insurance, motor vehicle mechanism, and rural areas were the major factors influencing primary triage to any trauma hospital. Younger age, private non-HMO insurance, higher ISS, fall mechanism, <200 bed hospital, and rural areas were the major factors influencing transfer from a non-trauma hospital to any trauma center. Conclusions: We demonstrate statewide primary triage and transfer patterns for pediatric trauma in a large and varied state. Specifically we identified previously unrecognized individual, hospital, and EMS system associations with pediatric trauma regionalization. Knowledge of these de facto trauma care access patterns has policy and process implications that could improve care for all injured children in need.


Subject(s)
Emergency Medical Services , Wounds and Injuries , Adult , California , Child , Humans , Injury Severity Score , Retrospective Studies , Trauma Centers , Triage , United States , Wounds and Injuries/epidemiology , Wounds and Injuries/therapy
3.
Trauma Surg Acute Care Open ; 4(1): e000317, 2019.
Article in English | MEDLINE | ID: mdl-31565676

ABSTRACT

BACKGROUND/OBJECTIVE: Trauma centers save lives, but they are scarce and concentrated in urban settings. The population of severely injured children in California who do not receive trauma center care (undertriage) is not well understood. METHODS: Retrospective observational study of all children (0-17 years) hospitalized for severe trauma in California (2005-2015). We used the California Office of Statewide Health Planning and Development linked Emergency Department and Inpatient Discharge data sets. Logistic regression models were created to analyze characteristics associated with undertriage. The model was clustered on differential distance between distance from residence to primary triage hospital and distance from residence to nearest trauma center. We controlled for body part injured, injury type, intent and year. The a priori hypothesis was that uninsured and publicly insured children and hospitals and regions with limited resources would be associated with undertriage. RESULTS: Twelve percent (1866/15 656) of children with severe injury experienced undertriage. Children aged >14 years compared with 0-13 years had more than 2.5 times the odds of undertriage (OR 2.58; 95% CI 2.1 to 3.16). Children with private Health Maintenance Organization (HMO) insurance compared with public insurance had 13 times the odds of undertriage (OR 12.62; 95% CI 8.95 to 17.79). Hospitals with >400 compared with <200 beds had more than three times the odds of undertriage (OR 3.64; 95% CI 2.6 to 5.11). Urban versus suburban residence had 1.3 times increased odds of undertriage (OR 1.31; 95% CI 1.02 to 1.67) Undertriage volume was largest in urban areas. CONCLUSION: Undertriage is associated with private HMO insurance, primary triage to large hospitals and urban residence. Understanding the characteristics associated with undertriage can help improve trauma systems. LEVEL OF EVIDENCE: Level III (non-experimental retrospective observational study).

4.
JAMA Pediatr ; 172(12): 1177-1186, 2018 12 01.
Article in English | MEDLINE | ID: mdl-30357260

ABSTRACT

Importance: Pediatric chronic conditions have become a major public health challenge, and behavioral change plays an important role in overcoming this problem. Many health behavior interventions are described as theory-based, but evidence that such programs properly use theoretical constructs is scant. Objective: To identify effective theory-based behavioral interventions that motivate patients and families to adopt better self-management behaviors for chronic disease, to review theoretical constructs from each theory and identify the common elements for action, and to rate the level of evidence for each theory-based chronic disease intervention. Evidence Review: Medline and PsycINFO electronic databases were searched for relevant randomized clinical trial articles published between January 1, 2000, and June 30, 2016, with English language and article type restrictions. These articles reported original data on children and young adults aged 21 years or younger, measured interventions for a pediatric chronic health problem, and assessed the association between interventions and health behavior, knowledge, and outcomes. The Jadad scale was used to evaluate the methods of each article. Articles that explicitly identified the theoretical basis for the intervention and scored 3 points or higher on the Jadad scale were included in the final analysis. Findings: The database search yielded a total of 36 187 articles, from which duplicates and those that did not meet the inclusion criteria were eliminated, leaving 129 studies for the full review. Of the 129 studies, 29 (22.5%) had higher Jadad scale scores of 3 or 4 points and underwent the final detailed data abstraction and qualitative synthesis. Five chronic conditions were represented, including asthma (55% [16 of 29]), type 1 diabetes (21% [6 of 29]), obesity (14% [4 of 29]), attention-deficit/hyperactivity disorder (7% [2 of 29]), and autistic spectrum disorder (3% [1 of 29]). Most studies (55% [16 of 29]) used Social Cognitive Theory as the theoretical basis for intervention. The following intervention outcomes were reported: 23 (80%) saw a positive association with health-related behaviors (eg, adherence), 8 (28%) with knowledge, 7 (24%) with attitudes, and 26 (90%) with clinical outcomes. Ten studies (34%) showed results in both health behaviors and health outcomes. Twenty-two studies (76%) demonstrated short-term effects (within 6 months), whereas 12 (41%) reported longer-term changes. Conclusions and Relevance: Identifying effective theory-based behavioral interventions can empower those who are involved in the care of children and young adults with chronic conditions.


Subject(s)
Chronic Disease/prevention & control , Health Behavior , Adolescent , Child , Child, Preschool , Humans , Randomized Controlled Trials as Topic , Telemedicine/statistics & numerical data , Young Adult
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