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1.
Public Health Rep ; 130(3): 245-52, 2015.
Article in English | MEDLINE | ID: mdl-25931628

ABSTRACT

OBJECTIVES: Smartphone applications (apps) are increasingly used to facilitate casual sexual relationships, increasing the risk of sexually transmitted diseases (STDs). In STD investigations, traditional contact elicitation methods can be enhanced with smartphone technology during field interviews. METHODS: In 2013, the Monroe County Department of Public Health conducted a large, multi-infection STD investigation among men who have sex with men (MSM) using both index case and cluster interviews. When patients indicated meeting sexual partners online, disease intervention specialists (DISs) had access to smartphone apps and were able to elicit partners through access to inboxes and profiles where traditional contact information was lacking. Social network mapping was used to display the extent of the investigation and the impact of access to smartphones on the investigation. RESULTS: A total of 14 index patient interviews and two cluster interviews were conducted; 97 individuals were identified among 117 sexual dyads. On average, eight partners were elicited per interview (range: 1-31). The seven individuals who used apps to find partners had an average of three Internet partners (range: 1-5). Thirty-six individuals either had a new STD (n=7) or were previously known to be HIV-positive (n=29). Of the 117 sexual dyads, 21 (18%) originated either online (n=8) or with a smartphone app (n=13). Of those originating online or with a smartphone app, six (29%) partners were located using the smartphone and two (10%) were notified of their exposure via a website. Three of the new STD/HIV cases were among partners who met online. CONCLUSION: Smartphone technology used by DISs in the field improved contact elicitation and resulted in successful partner notification and case finding.


Subject(s)
Contact Tracing/methods , Homosexuality, Male , Mobile Applications , Sexual Partners , Sexually Transmitted Diseases/transmission , Adolescent , Adult , Humans , Internet , Male , Racial Groups , Sexually Transmitted Diseases/diagnosis , Sexually Transmitted Diseases/epidemiology , Young Adult
2.
Matern Child Health J ; 19(10): 2206-14, 2015 Oct.
Article in English | MEDLINE | ID: mdl-25682114

ABSTRACT

The objective of this study is to explore the association between having a child with special health care needs (CSHCN) and food insecurity when the child is 2 years old. We studied women who had a live birth in 2004-2005 and responded to Oregon's Pregnancy Risk Assessment Monitoring System (PRAMS) survey 3 months postpartum (Time 1) and the follow-up survey (PRAMS-2), when the child was 2 years old (Time 2). Women answering affirmatively to the PRAMS-2 question, "In the last 12 months, did you ever eat less than you felt you should because there was not enough money for food?" were considered food insecure. CSHCN status was identified by affirmative responses to questions about needs for ongoing services (Time 2). PRAMS and PRAMS-2 responses were weighted for study design and non-response. Results report weighted analyses, unless noted. Among 1812 mothers completing PRAMS-2, 13.6 % (unweighted) had a 2-year-old CSHCN and 11.9 % (unweighted) were food insecure at Time 2. The estimated prevalence of food insecurity at 2-year follow-up was 20.7 % among families of CSHCN and 9.7 % for others. After adjustment for Time 2 marital status, education, lifetime U.S. residence, income and health conditions, multivariable logistic regression revealed that odds of food insecurity were more than two times as great for CSHCN mothers 2 years post-partum compared to non-CSHCN mothers (adjusted odds ratio 2.6, 95 % confidence interval 1.3, 4.6). Families of CSHCN face increased risk for food insecurity. Improved understanding of causal determinants of food insecurity among households of CSHCN is needed.


Subject(s)
Child Health/economics , Food Supply/statistics & numerical data , Mothers , Child Health/statistics & numerical data , Child, Preschool , Female , Humans , Logistic Models , Oregon/epidemiology , Risk Assessment , Surveys and Questionnaires , United States
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