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Biomedical subjects

Kevin Cranston

Publications and source records attributed to Kevin Cranston.

8 recordsLinked to original sources

Optimizing resource allocation in United States AIDS drug assistance programs.

BACKGROUND: US acquired immunodeficiency syndrome (AIDS) Drug Assistance programs (ADAPs) provide medications to low-income patients with human immunodeficiency virus (HIV) infection/AIDS. Nationally, ADAPs are in a fiscal crisis. Many states have instituted waiting lists, often serving clients on a first-come, first-served basis. We hypothesized that CD4 cell count-based ADAP eligibility would improve ADAP outcomes, allowing them to serve more-diverse patient populations and to prioritize persons who are at greatest risk of HIV-related mortality. METHODS: We used Massachusetts ADAP administrative data to create a retrospective cohort of Massachusetts ADAP clients from fiscal year 2003. We then used a model-based analysis to apply potential eligibility criteria for a limited program and to compare characteristics of patients included under CD4 cell count-based and first-come, first-served eligibility criteria. RESULTS: In fiscal year 2003, Massachusetts ADAPs served 3560 clients at a direct cost of 10.3 million dollars. With use of CD4 cell count-based eligibility (with an eligibility criterion of a current or nadir CD4 cell count < or = 350 cells/microL), it would have served 2253 clients (37% fewer than in fiscal year 2003) and appreciated savings of 2.7 million dollars. Given the same budget constraint and using first-come, first-served eligibility, Massachusetts ADAPs would have served 2406 clients (32% fewer than in fiscal year 2003). The first-come, first-served approach would have excluded patients with median CD4 cell count of 257 cells/microL (interquartile range, 124-377 cells/microL) in favor of serving patients with median CD4 cell count of 659 cells/microL (interquartile range, 511-841 cells/microL). In addition, a CD4 cell count-based scheme would have served a greater proportion of nonwhite individuals (65% vs. 55%; P<.0001), non-English speakers (24% vs. 19%; P=.03), and unemployed people (69% vs. 61%; P=.0009), compared with the population that would have been served by a first-come, first-served policy. CONCLUSIONS: With limited resources, ADAPs will serve more-diverse populations and patients with significantly more advanced HIV disease by using CD4 cell count-based enrollment criteria rather than a first-come, first-served approach.

Anti-HIV Agents↗

Perpetration of intimate partner violence associated with sexual risk behaviors among young adult men.

OBJECTIVE: We assessed the association between intimate partner violence (IPV) perpetration and sexual risk behaviors and fatherhood (having fathered children) among young men. METHODS: Sexually active men aged 18 to 35 years who visited an urban community health center and who reported having sexual intercourse with a steady female partner during the past 3 months (N = 283) completed a brief self-administered survey about sexual risk behaviors, IPV perpetration, and demographics. We conducted logistic regression analyses adjusted for demographics to assess associations between IPV and sexual risk behaviors and fatherhood. RESULTS: Participants were predominantly Hispanic (74.9%) and Black (21.9%). Participants who reported IPV perpetration during the past year (41.3%) were significantly more likely to report (1) inconsistent or no condom use during vaginal and anal sexual intercourse, (2) forcing sexual intercourse without a condom, (3) having sexual intercourse with other women, and (4) having fathered 3 or more children. CONCLUSION: IPV perpetration was common among our sample and was associated with increased sexual risk behaviors. Urban community health centers may offer an important venue for reaching this at-risk population.

Abortion, Induced↗

Diffusion of effective HIV prevention interventions--lessons from Maryland and Massachusetts.

This article describes, compares, and contrasts the contexts, processes, and results of the experiences of Maryland and Massachusetts in diffusing evidence-based interventions. The evolution of first Maryland's, then Massachusetts's, diffusion of effective interventions is described. Both states have extensive experience planning, developing and evaluating individual-, group-, and community-level interventions promoted in the Centers for Disease Control and Prevention's Diffusion of Effective Behavioral Interventions (DEBI) initiative, as well as overcoming many barriers to translate research to practice. This article describes the processes whereby effective interventions were diffused from the planning to evaluation stages. This includes the role of community-planning groups and other local stakeholders in planning, procurement methods, and capacity building approaches. Specific milestones in increasing the evidence basis of program implementation, management, and evaluation are presented. For jurisdictions considering implementing DEBI, the article illustrates core programmatic and infrastructure capacities at the state and vendor level important to success in Maryland and Massachusetts. It also describes how each state's approach to the management and evaluation of prevention programs contributed to the effective diffusion of the behavioral interventions. Finally, this article provides recommendations about remaining gaps in evidence-based interventions to meet "real-world prevention needs" and ways to improve prevention targeting and effectiveness. This article recommends strategies to improve the dissemination of DEBI and other evidence-based interventions nationally.

Diffusion of Innovation↗

HIV prevention community planning: challenges and opportunities for data-informed decision-making.

The use of data in decision-making by the Massachusetts Prevention Planning Group (MPPG) was assessed using multiple methods: in-depth interviews, member surveys, directed observations, and archival review. Three factors known to influence group decision-making were of interest: (1) member characteristics, (2) group structure, and (3) data inputs. Membership characteristics were not related to reliance on data. However, group structure factors and data inputs were directly related to reliance on data. Most members accepted an advisory role and felt participation was worthwhile. About half were dissatisfied with decision-making processes, citing member conflicts and distrust. Incompleteness of data, inadequate presentation quality, and lengthy intervals between presentations and actual decision-making were identified as deficits. Although most members reported skills with HIV- and intervention-related data, most also reported deficiencies in interpreting evaluation and cost-effectiveness studies. Member trust and use of data in decision-making could be improved by clarifying decision-making structures and processes, assuring high-quality data presentations, and supporting or training members to better interpret and use data.

Committee Membership↗

Bridging data and decision making: development of techniques for improving the HIV prevention community planning process.

Assessments of community planning in Massachusetts and Texas were used to develop tools for increasing the use of data by HIV prevention community planning groups (CPGs) and prevention providers while also increasing participation of CPG members. Barriers to data use included organizational problems in CPGs (e.g., lack of clear procedures, distrust of peers and leadership) and technical assistance needs for CPG members and researchers who provide data. The absence of data relevant to local epidemics was another barrier. Specific linkages are provided between the assessments of these needs and the development of a technical assistance tools (e.g., websites, templates for data presentation, experiential involvement in data use) and strategies for organizational change in CPGs, as well as efforts to better use available data and create or identify new sources of local data.

Community Health Planning↗

HIV prevention community planning: enhancing data-informed decision-making.

The primary purpose of this study was to test the impact of the first year of a 3-year intervention designed to enhance the use of behavioral data in the Massachusetts HIV Prevention Community Planning Group (MPPG). A one-group, pretest-posttest, nonequivalent independent variables, quasi-experimental design was used to assess changes before and after the first year of implementing strategies to enhance the use of behavioral data in decision-making. Over 90% of the CPG members completed surveys at baseline and at the end of the first year of the intervention. Consistent with the focus of the MPPG intervention in Year One, significant improvements were found from baseline to follow-up in member perceptions of decision-making structure and leadership, satisfaction with prevention planning processes, and intervention prioritization decisions. Findings provide preliminary evidence for the impact on member satisfaction of changes in CPG organizational structures and processes, including redistribution of power and broader constituent representation.

Community Health Planning↗

Improving the use of data for HIV prevention decision making: lessons learned.

HIV prevention community planning was developed to promote identification of local prevention priorities through a process that was evidence-based and provided community input. There are a variety of barriers to effective use of data in community planning which include characteristics of data (availability, timeliness, relevance to planning tasks), characteristics of planning group members and providers of data (e.g., skills in understanding and applying data), and social-organizational aspects of community-planning groups (CPGs). Lessons learned from this project illustrate how to create locally relevant sources of data, build data use skills of CPG members and data providers, and address social-organizational aspects of planning, while also better integrating community planning with implementation of prevention plans. Adaptation of tools and methods is discussed along with future considerations for research and planning practice.

Community Health Planning↗

Disparities in prenatal HIV testing: evidence for improving implementation of CDC screening guidelines.

OBJECTIVES: We investigated the within-group and between-group variation in prenatal HIV testing in a sample of low-income pregnant and recently postpartum women. METHODS: Multivariable linear regression was used to estimate proportional differences in prenatal HIV testing for the total sample and stratified by race. RESULTS: In bivariate analyses, race and site of care jointly affected the probability of being tested. Hispanic women had the highest probability of being tested in public practice settings but relative to white women, black women had a higher probability of being tested in public and private practice settings. Predictors of prenatal HIV testing differed by race. Receiving prenatal care in a community health center or hospital outpatient clinic increased the probability of testing for Hispanics. Being a recent victim of intimate partner violence was associated with less frequent testing for blacks. Positive beliefs about HIV screening, while significant for blacks and Hispanics, was the only factor associated with testing for whites. CONCLUSION: Our data suggest that racial biases may be influencing providers' approach to testing, rather than CDC's 2001 guidelines for HIV screening of pregnant women. Study findings are being used to modify social marketing campaigns and improve provider trainings regarding prenatal HIV testing.

Adolescent↗