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1.
J Cancer Educ ; 30(1): 173-86, 2015 Mar.
Article in English | MEDLINE | ID: mdl-25219543

ABSTRACT

This study synthesized lessons learned from US-based community and clinic health navigator (CHN) interventions on cancer screening promotion to identify characteristics of models and approaches for addressing cancer disparities. The combination terms "cancer screening" and "community health workers or navigators" or "patient navigators" were used in searching Medline, CINAHL, and PsycInfo. A total of 27 articles published during January 2005∼April 2014 were included. Two CHN models were identified: community-based (15 studies) and clinic/hospital-based (12 studies). While both models used the term "navigators," most community-based programs referred them as community health workers/navigators/advisors, whereas clinic-based programs often called them patient navigators. Most community-based CHN interventions targeted specific racial/ethnic minority or rural groups, while clinic-based programs mostly targeted urban low income or mixed ethnic groups. Most community-based CHN programs outreached members from community networks, while clinic-based programs commonly worked with pre-identified in-service clients. Overall, regardless model type, CHNs had similar roles and responsibilities, and interventions demonstrated effective outcomes. Our review identified characteristics of CHN interventions with attention to different settings. Lessons learned have implication on the dissemination and implementation of CHN interventions for cancer screening promotion across setting and target groups.


Subject(s)
Community Health Workers , Early Detection of Cancer , Early Intervention, Educational , Evidence-Based Practice , Health Promotion/methods , Neoplasms/prevention & control , Patient Navigation , Humans , United States
2.
Health Psychol Behav Med ; 2(1): 455-481, 2014 Jan 01.
Article in English | MEDLINE | ID: mdl-25750795

ABSTRACT

Purpose: This review examines Internet interventions aiming to change health behaviors in the general population. Methods: Internet health interventions in the USA published between January 2005 and December 2013 were identified through Medline and CINAHL. Keywords used were (Internet or e-health or social media or web) paired with (intervention or program*). A total of 38 articles met all criteria and were reviewed. Results: Studies were analyzed by targeted health behavior interventions: tobacco (5), alcohol (4), weight loss (7), physical activity (PA) (7), nutrition (2), PA and nutrition combined (5), HIV or sexual health (4), and chronic diseases (4). Interventions ranged from one session to 24  weeks (average 6-12 weeks). Common strategies used, including web-based information, tailored feedback, weekly e-mails, goal setting, and self-assessment. Social cognitive theory and the transtheoretical models were the most commonly used frameworks. Recruitment strategies were typically media based varied by settings and populations. Except for the tobacco interventions, the majority studies yielded significant outcomes. Conclusion: This review provides updates and synthesized knowledge on the design and consistent effectiveness of Internet interventions across health behaviors. Results have implications for public health and healthcare professionals, as they play a key role in developing and delivering health promotion interventions as well as in assisting the communities and clients serviced obtaining evidence-based health information.

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