A framework for assessing program institutionalization
In: Knowledge in Society, Band 2, Heft 1, S. 57-71
ISSN: 1874-6314
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In: Knowledge in Society, Band 2, Heft 1, S. 57-71
ISSN: 1874-6314
In: American journal of health promotion, Band 3, Heft 4, S. 34-43
ISSN: 2168-6602
This article presents six implications for practice that suggest how to optimize the institutionalization of health promotion programs. These six implications were derived from a study of ten health promotion programs funded by the Virginia State Health Department and operated by local schools- and community health agencies. Institutionalization refers to the long-term survival of health promotion programs, i.e., survival well beyond an initial grant funding period. To generate the implications for practice, a multiple case design for cross-case comparisons was applied to the ten health promotion programs. In brief, the six practice implications are: 1) cultivating a "program champion"; 2) favoring organizations with mature "subsystems"; 3) favoring organizations in which health promotion "fits" with the organization's mission; 4) avoiding brokering relationships; 5) altering lengths of funding periods; and 6) funding existing worthy programs. The significance of these practice implications for both funding and implementing agencies is briefly discussed.
In: American journal of health promotion, Band 9, Heft 6, S. 443-455
ISSN: 2168-6602
Purpose. To present an evaluation of a 5-year, community-based, chronic disease prevention project managed by a state health department to determine whether the department could replicate similar previous projects that had received more funding and other resources. Design. The evaluation used a matched comparison design and a review of archive and interview data. Setting. Florence, South Carolina (population: 56,240). Subjects. A random sample of 1642 persons in Florence (and 1551 in the comparison) who responded to a risk factor questionnaire and underwent a physical assessment; 70. 7% of baseline subjects participated in the postintervention. Forty key persons were interviewed concerning project effectiveness. Interventions by Project. Walk-a-thons, a speakers' bureau, media messages, restaurant food labeling, and cooking seminars. More than 31,000 participants were involved in 585 activities. Measures. Questionnaires focused on hypertension, obesity, high cholesterol, smoking, and exercise. Physical assessments determined lipid, lipoprotein, apolipoprotein, and blood pressure levels. Analysis of covariance was used for baseline and postintervention comparisons. Content analysis was used on archive and interview data. Results. The project had a slightly favorable intervention effect on cholesterol and smoking, but failed to have an effect on other risk factors for cardiovascular disease. The project influenced community awareness, enlisted influential community members, and fostered linkages among local health services. Conclusions. Health departments can be instrumental in community risk reduction programming; however, they may not replicate projects having greater resources.
In: American journal of health promotion, Band 7, Heft 3, S. 208-220
ISSN: 2168-6602
Purpose. This article reports on a process evaluation of three Planned Approach to Community Health (PATCH) projects and three Community Chronic Disease Prevention Programs (CCDPP) that operated in the State of Maine. PATCH and CCDPP are similar approaches to community health promotion developed and disseminated by the Centers for Disease Control. The evaluators studied how the Planned Approach to Community Health and the Community Chronic Disease Prevention Program models worked as community health strategies across the six field sites. Research Methods Used. Qualitative methods were used in a cross-case comparison of the six field sites. In studying each site, the evaluators focused on six stages common to both the Planned Approach to Community Health and the Community Chronic Disease Prevention Program models: Stage 1: conducting a community needs assessment; Stage 2: analyzing needs assessment data; Stage 3: setting priorities for the project based on the data; Stage 4: implementing activities; Stage 5: producing process outcomes; and Stage 6: institutionalizing the project. The analysis focused on how each of the six communities traversed these stages. Summary of Findings. Eight recommendations for refining Planned Approach to Community Health and Community Chronic Disease Prevention strategies resulted from the study: 1) do a community capacity assessment prior to initiating a community needs assessment; 2) do not overly rely on Behavioral Risk Factor Surveys; 3) analyze needs assessment data rapidly for community consumption; 4) allow flexibility and community input in determining priority health objectives; 5) provide technical assistance throughout a project, not just in the beginning; 6) fund at least one full-time local coordinator and extensive capacity building; 7) emphasize multiple interventions around one chronic condition at a time; and 8) emphasize program institutionalization. Conclusions. Community development approaches like Planned Approach to Community Health and Community Chronic Disease Prevention are promising health promotion strategies. To be optimally effective, however, these strategies need refinement based on systematic study in field settings. Because this study was limited to six sites in Maine, some of these findings may have limited generalizability.
In: American journal of health promotion, Band 6, Heft 3, S. 214-224
ISSN: 2168-6602
Once a health promotion program has proven to be effective in one or two initial settings, attempts may be made to transfer the program to new settings. One way to conceptualize the transference of health promotion programs from one locale to another is by considering the programs to be innovations that are being diffused. In this way, diffusion of innovation theory can be applied to guide the process of program transference. This article reports on the development of six questionnaires to measure the extent to which health promotion programs are successfully disseminated: Organizational Climate, Awareness-Concern, Rogers's Adoption Variables, Level of Use, Level of Success, and Level of Institutionalization. The instruments are being successfully used in a study of the diffusion of health promotion/tobacco prevention curricula to junior high schools in North Carolina. The instruments, which measure the four steps of the diffusion process, have construct validity since they were develóped within existing theories and are derived from the work of previous researchers. No previous research has attempted to use instruments like these to measure sequentially the stages of the diffusion process.
In: Evaluation and Program Planning, Band 39, S. 42-50
In: Evaluation and program planning: an international journal, Band 39
ISSN: 0149-7189
In: American journal of health promotion, Band 10, Heft 4, S. 299-307
ISSN: 2168-6602
This article is guided by several premises. First, community coalitions fit with a social ecology perspective of health promotion because they work with multiple domains and promote community change. Second, the community context affects the functioning of coalitions. Third, key leaders are an important part of the social fabric of a community and influence the social ecology of a community; therefore a coalition should include key leaders and influence them and their organizations. The purpose of this article is to advance an understanding of the social ecology of coalitions by describing concepts, variables and results from two national studies and by providing anecdotal evidence and a measure of key leaders from our own work. After briefly defining and describing community coalitions, we: (1) review literature on contextual variables and community coalitions, (2) provide examples of contextual variables influencing community coalition development, and (3) discuss the relationship of key leaders in multiple domains and community coalitions. The article concludes with a discussion of the need for a framework of contextual variables and a promising next step.