FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891331873> ?p ?o ?g. }

• W2891331873 abstract "Elected officials (e.g., legislators) are an important but understudied population in dissemination research. Audience segmentation is essential in developing dissemination strategies that are tailored for legislators with different characteristics, but sophisticated audience segmentation analyses have not been conducted with this population. An empirical clustering audience segmentation study was conducted to (1) identify behavioral health (i.e., mental health and substance abuse) audience segments among US state legislators, (2) identify legislator characteristics that are predictive of segment membership, and (3) determine whether segment membership is predictive of support for state behavioral health parity laws. Latent class analysis (LCA) was used. Data were from a multi-modal (post-mail, e-mail, telephone) survey of state legislators fielded in 2017 (N = 475). Nine variables were included in the LCA (e.g., perceptions of behavioral health treatment effectiveness, mental illness stigma). Binary logistic regression tested associations between legislator characteristics (e.g., political party, gender, ideology) and segment membership. Multi-level logistic regression assessed the predictive validity of segment membership on support for parity laws. A name was developed for each segment that captured its most salient features. Three audience segments were identified. Budget-oriented skeptics with stigma (47% of legislators) had the least faith in behavioral health treatment effectiveness, had the most mental illness stigma, and were most influenced by budget impact. This segment was predominantly male, Republican, and ideologically conservative. Action-oriented supporters (24%) were most likely to have introduced a behavioral health bill, most likely to identify behavioral health issues as policy priorities, and most influenced by research evidence. This was the most politically and ideologically diverse segment. Passive supporters (29%) had the greatest faith in treatment effectiveness and the least stigma, but were also least likely to have introduced a behavioral health bill. Segment membership was a stronger predictor of support for parity laws than almost all other legislator characteristics. State legislators are a heterogeneous audience when it comes to behavioral health. There is a need to develop and test behavioral health evidence dissemination strategies that are tailored for legislators in different audience segments. Empirical clustering approaches to audience segmentation are a potentially valuable tool for dissemination science." @default.
• W2891331873 created "2018-09-27" @default.
• W2891331873 creator A5006064501 @default.
• W2891331873 creator A5008901753 @default.
• W2891331873 creator A5034275356 @default.
• W2891331873 creator A5084691556 @default.
• W2891331873 creator A5090608236 @default.
• W2891331873 creator A5091392062 @default.
• W2891331873 date "2018-09-19" @default.
• W2891331873 modified "2023-10-05" @default.
• W2891331873 title "Audience segmentation to disseminate behavioral health evidence to legislators: an empirical clustering analysis" @default.
• W2891331873 cites W1565882483 @default.
• W2891331873 cites W166136788 @default.
• W2891331873 cites W1746024266 @default.
• W2891331873 cites W1785890472 @default.
• W2891331873 cites W1937174392 @default.
• W2891331873 cites W1963637356 @default.
• W2891331873 cites W1964666166 @default.
• W2891331873 cites W1982890224 @default.
• W2891331873 cites W1984945011 @default.
• W2891331873 cites W1985432611 @default.
• W2891331873 cites W1992271006 @default.
• W2891331873 cites W1993861281 @default.
• W2891331873 cites W2004541993 @default.
• W2891331873 cites W2009269368 @default.
• W2891331873 cites W2010857525 @default.
• W2891331873 cites W2017344179 @default.
• W2891331873 cites W2025068897 @default.
• W2891331873 cites W2032503405 @default.
• W2891331873 cites W2038359502 @default.
• W2891331873 cites W2039108966 @default.
• W2891331873 cites W2044075945 @default.
• W2891331873 cites W2057055792 @default.
• W2891331873 cites W2064323433 @default.
• W2891331873 cites W2077781858 @default.
• W2891331873 cites W2091527106 @default.
• W2891331873 cites W2107906216 @default.
• W2891331873 cites W210878572 @default.
• W2891331873 cites W2111637361 @default.
• W2891331873 cites W2111640236 @default.
• W2891331873 cites W2113880439 @default.
• W2891331873 cites W2117891525 @default.
• W2891331873 cites W2120742996 @default.
• W2891331873 cites W2126924137 @default.
• W2891331873 cites W2127693712 @default.
• W2891331873 cites W2128106636 @default.
• W2891331873 cites W2130266948 @default.
• W2891331873 cites W2131221599 @default.
• W2891331873 cites W2131425673 @default.
• W2891331873 cites W2138036364 @default.
• W2891331873 cites W2140451146 @default.
• W2891331873 cites W2141743762 @default.
• W2891331873 cites W2145032645 @default.
• W2891331873 cites W2148141426 @default.
• W2891331873 cites W2148531463 @default.
• W2891331873 cites W2151402288 @default.
• W2891331873 cites W2154353534 @default.
• W2891331873 cites W2159208799 @default.
• W2891331873 cites W2167777036 @default.
• W2891331873 cites W2170077644 @default.
• W2891331873 cites W2171589696 @default.
• W2891331873 cites W2223365360 @default.
• W2891331873 cites W2286859703 @default.
• W2891331873 cites W2308100425 @default.
• W2891331873 cites W2312785004 @default.
• W2891331873 cites W2328470762 @default.
• W2891331873 cites W2340346722 @default.
• W2891331873 cites W2345920755 @default.
• W2891331873 cites W2409668641 @default.
• W2891331873 cites W2435481105 @default.
• W2891331873 cites W2462946655 @default.
• W2891331873 cites W2472566183 @default.
• W2891331873 cites W2519105412 @default.
• W2891331873 cites W2557049136 @default.
• W2891331873 cites W2561252048 @default.
• W2891331873 cites W2567186924 @default.
• W2891331873 cites W2580429482 @default.
• W2891331873 cites W2584341917 @default.
• W2891331873 cites W2606859471 @default.
• W2891331873 cites W2607882109 @default.
• W2891331873 cites W2609112051 @default.
• W2891331873 cites W2610146921 @default.
• W2891331873 cites W2719046715 @default.
• W2891331873 cites W2739583205 @default.
• W2891331873 cites W2746655515 @default.
• W2891331873 cites W2749953184 @default.
• W2891331873 cites W2754166363 @default.
• W2891331873 cites W2764210419 @default.
• W2891331873 cites W2766863832 @default.
• W2891331873 cites W2777952710 @default.
• W2891331873 cites W2791276992 @default.
• W2891331873 cites W2791602707 @default.
• W2891331873 cites W2791846296 @default.
• W2891331873 cites W2803829758 @default.
• W2891331873 cites W2805554614 @default.
• W2891331873 cites W4241685027 @default.
• W2891331873 cites W4300907346 @default.
• W2891331873 cites W4380762938 @default.
• W2891331873 cites W2141582453 @default.
• W2891331873 doi "https://doi.org/10.1186/s13012-018-0816-8" @default.

• next