Global implementation research and applications最新文献

Populations at high risk for COVID-19- including Spanish speakers-may face additional barriers to obtaining COVID-19 vaccinations; by understanding their challenges, we can create more equitable vaccine interventions. In this study, we used interviews to identify barriers and enablers to COVID-19 vaccine uptake among participants in the San Francisco Department of Public Health contact tracing program. Data analysis employed Capability, Opportunity, Motivation Behavior model (COM-B) and the Behavior Change Wheel framework as guides to target barriers with interventions and supporting policies. This paper presents data from interviews focused on COVID-19 vaccine uptake that was part of a project to improve COVID-19 preventive behaviors in San Francisco. We completed seventeen interviews between February and May 2021; six (35%) were completed in English and 11 (65%) in Spanish. Barriers to vaccine uptake included an unprepared health system, fear of side effects, limited knowledge, and conflicting information. Behavioral factors influencing vaccine uptake were mainly related to physical opportunity, automatic motivation, and psychological capability. Interventions that could address the most significant number of barriers included education, enablement, and environmental restructuring. Finally, communication and marketing policies that use diverse multi-lingual social media and environmental planning that includes accessible vaccine sites for people with disabilities, literacy barriers, and limited English proficiency could significantly increase vaccination. Public health departments should tailor interventions to high-risk populations by understanding the specific barriers they face. This exploratory study suggests how implementation science can provide frameworks to achieve this.

Head Start is a federally funded program for children (3-5 years) from low-income families. In the Fort Peck Native American Reservation, tribal Head Start teachers have reported high stress in supporting children experiencing adverse childhood experiences. Thus, we adapted the Little Holy One intervention (ClinicalTrials.gov: NCT04201184) for the teachers' context and culture to enhance psychological health and well-being. Within a participatory framework, the eight-step ADAPT-ITT methodology was used to guide the adaptation process: assessment; decision; adaptation; production; topical experts; integration; training; and testing. For Step 1, we purposive sampled 27 teachers, ancillary staff, and parents to understand teachers' stress, support mechanisms, and interest in an intervention via focus groups (n = 9) and individual interviews (n = 18). Qualitative data underscored teachers' experiences of stress, depression, and need for support (Step 1). Iterative feedback from a tribal advisory board and Little Holy One designers rendered selection of five lessons (Step 2, 5), which were adapted for the teachers via theater testing (Step 3, 4). Community capacity assessment revealed their ability to implement the intervention (Step 6). Testing of this adapted intervention in a feasibility trial (steps 7, 8) will be reported in a future publication. A rigorous systematic process within a participatory framework allowed intervention adaption based on community input. Leveraging "culture as treatment" may be useful for enhancing psychological health outcomes for Native Americans who historically underutilize existing psychological services.

Supplementary information: The online version contains supplementary material available at 10.1007/s43477-022-00070-3.

The CHIEDZA (Community-based Interventions to improve HIV outcomes in youth: a cluster randomised trial in Zimbabwe) trial evaluated an integrated package of HIV and sexual and reproductive health services for young people aged 16-24 years in Zimbabwe. The family planning component aimed to improve access to information, services, and contraceptives delivered by trained youth-friendly providers within a community-based setting for young women. Responsively adapting the intervention was a part of the intervention design's rationale. We investigated the factors influencing implementation fidelity, quality, and feasibility using provider experiences and perspectives. We conducted provider interviews (N = 42), non-participant (N = 18), and participant observation (N = 30) of intervention activities. The data was analyzed thematically. CHIEDZA providers were receptive to providing the family planning intervention, but contexts outside of the intervention created challenges to the intervention's fidelity. Strategic adaptations were required to ensure service quality within a youth-friendly context. These adaptations strengthened service delivery but also resulted in longer wait times, more frequent visits, and variability of Long-Acting Reversible contraceptives (LARCS) provision which depended on target-driven programming by partner organization. This study was a practical example of how tracking adaptations is vital within process evaluation methods in implementation science. Anticipating that changes will occur is a necessary pre-condition of strong evaluations and tracking adaptations ensures that lessons on feasibility of design, contextual factors, and health system factors are responded to during implementation and can improve quality. Some contextual factors are unpredictable, and implementation should be viewed as a dynamic process where responsive adaptations are necessary, and fidelity is not static. Trial registration ClinicalTrials.gov Identifier: NCT03719521.

Supplementary information: The online version contains supplementary material available at 10.1007/s43477-023-00075-6.

This scoping review describes the state of the literature regarding Implementation Strategy Mapping Methods (ISMMs) within the context of child mental health practice delivery. Goals included (a) identify and describe ISMMs addressing determinants of implementing mental health evidence-based interventions (MH-EBIs) for children and (b) describe the scope of the literature (e.g., outcomes, remaining gaps) related to identified ISMMs. Following PRISMA-ScR guidelines, 197 articles were identified. After removing 54 duplicates, 152 titles and abstracts were screened, yielding 36 articles that were screened during the full-text review. The final sample included four studies and two protocol papers (n = 6). A data charting codebook was developed a priori to capture relevant information (e.g., outcomes) and content analysis was utilized to synthesize findings. Six ISMMs were identified: innovation tournament, concept mapping, modified conjoint analysis, COAST-IS, focus group, and intervention mapping. ISMMs were successful in leading to the identification and selection of implementation strategies at participating organizations, and all ISMMs included stakeholders throughout these processes. Findings revealed the novelty of this research area and highlighted numerous areas for future investigation. Implications related to implementation, service, and client outcomes are discussed, including the possible impact of utilizing ISMMs to increase access to MH-EBIs for children receiving services in community settings. Overall, these findings contribute to our understanding of one of the five priority areas within implementation strategy research-enhancing methods used to design and tailor implementation strategies-by providing an overview of methods that may be utilized to facilitate MH-EBI implementation in child mental health care settings. Trial Registration: Not applicable.

Supplementary information: The online version contains supplementary material available at 10.1007/s43477-023-00086-3.

Person-centered recovery planning (PCRP) has been a key aspect in mental health system transformation and delivering quality health care. Despite the mandate to deliver this practice and a growing evidence base, its implementation and understanding of implementation processes in behavioral health settings remain a challenge. New England Mental Health Technology Transfer Center (MHTTC) launched the PCRP in Behavioral Health Learning Collaborative to support agencies' implementation efforts through training and technical assistance. In an effort to explore and understand the internal implementation process changes facilitated by the learning collaborative, the authors conducted qualitative key informant interviews with the participants and the leadership of the PCRP learning collaborative. The interviews revealed the processes that are part of the PCRP implementation efforts, including staff training, changing agency policies and procedures, modifying treatment planning tools, and the structure of the electronic health records. The higher prior organizational investment and readiness for change, building staff's competencies in PCRP, leadership investment, and frontline staff buy-in act as factors that facilitate the implementation of PCRP in behavioral health settings. Our findings inform both the implementation of PCRP in behavioral health settings and future efforts of organizing multi-agency learning collaboratives to support PCRP implementation.

Supplementary information: The online version contains supplementary material available at 10.1007/s43477-023-00078-3.

The purpose of this article is to consider the changing context for implementation research and practice and new approaches which might now be more relevant for some implementation objectives. Factors that hindered implementation of evidence-based practices before the COVID-19 pandemic was an anti-science culture, strengthened by different media and appeals to emotion and identity. The article questions how effective are the rational-cognitive and individual models of change that frequency informs our research and practice. It describes challenges we face and considers methods we could use that might be more effective, including research-informed narrative methods, participatory research and practice, especially with culturally and linguistically diverse peoples, and adaptive implementation.

The Healthy Life Trajectories Initiative, an international consortium developed in partnership with the World Health Organization, is addressing childhood obesity from a life-course perspective. It hypothesises that an integrated complex intervention from preconception, through pregnancy, infancy and early childhood, will reduce childhood adiposity and non-communicable disease risk, and improve child development. As part of the Healthy Life Trajectories Initiative in South Africa, the Bukhali randomised controlled trial is being conducted with 18-28-year-old women in Soweto, where young women face numerous challenges to their physical and mental health. The aims of this paper were to describe the intervention development process (including adaptations), intervention components, and process evaluation; and to highlight key lessons learned. Intervention materials have been developed according to the life-course stages: preconception (Bukhali), pregnancy (Bukhali Baby), infancy (Bukhali Nana; birth-2 years), and early childhood (Bukhali Mntwana, 2-5 years). The intervention is delivered by community health workers, and includes the provision of health literacy resources, multi-micronutrient supplementation, in-person health screening, services and referral, nutrition risk support, SMS-reminders and telephonic contacts to assist with behaviour change goals. A key adaption is the incorporation of principles of trauma-information care, given the mental health challenges faced by participants. The Bukhali process evaluation is focussing on context, implementation and mechanisms of impact, using a mixed methods approach. Although the completion of the trial is still a number of years away, the documentation of the intervention development process and process evaluation of the trial can provide lessons for the development, implementation, and evaluation of such complex life-course trials.

Supplementary information: The online version contains supplementary material available at 10.1007/s43477-023-00073-8.

The aim of the BETTER WISE intervention is to address cancer and chronic disease prevention and screening (CCDPS) and lifestyle risks in patients aged 40-65. The purpose of this qualitative study is to better understand facilitators and barriers to the implementation of the intervention. Patients were invited for a 1-h visit with a prevention practitioner (PP), a member of a primary care team, with specific skills in prevention, screening, and cancer survivorship. We collected and analyzed data from 48 key informant interviews and 17 focus groups conducted with 132 primary care providers and from 585 patient feedback forms. We analyzed all qualitative data using a constant comparative method informed by grounded theory and then employed the Consolidated Framework for Implementation Research (CFIR) in a second round of coding. The following key elements were identified: (1) Intervention characteristics-relative advantage and adaptability; (2) Outer setting-PPs compensating for increased patient needs and decreased resources; (3) Characteristics of individuals-PPs (patients and physicians described PPs as compassionate, knowledgeable, and helpful); (4) Inner setting-network and communication (collaboration and support in teams or lack thereof); and (5) Process-executing the implementation (pandemic-related issues hindered execution, but PPs adapted to challenges). This study identified key elements that facilitated or hindered the implementation of BETTER WISE. Despite the interruption caused by the COVID-19 pandemic, the BETTER WISE intervention continued, driven by the PPs and their strong relationships with their patients, other primary care providers, and the BETTER WISE team.

Self-efficacy is central to community health workers' capacity and motivation to deliver evidence-based care; thus, validated measures of self-efficacy are needed to assess the effectiveness of community health worker programs. In this study, we culturally adapted and evaluated the General Self-Efficacy Scale among community health workers in Uganda using multiple methods. We adapted the ten-item General Self-Efficacy Scale through cross-cultural discussions within our multidisciplinary research team, translation from English into Luganda and back-translation into English, and six cognitive interviews with community health workers. We administered the adapted scale in a staged, two-part cross-sectional study, including a total of 147 community health workers. Exploratory factor analysis yielded three factors, which we labeled problem-solving, persistence, and resourcefulness. This three-factor solution had good model fit (standardized root mean square residual = 0.07) and explained 53.4% of the variance. We found evidence of convergent validity, as scores for the total scale were positively correlated with years of experience (r = 0.48; p < .001) and perceived social support (r = 0.39, p < .001). Scores were also higher among those with higher educational attainment in one-way analysis of variance and Bonferroni-corrected post hoc tests [F (2,72) = 9.16, p < .001]. We also found evidence of discriminant validity, as scores for the total scale were not correlated with age (r = - 0.07, p = .55), in agreement with literature showing that general self-efficacy is an age-independent construct. The internal consistency of the adapted scale was within the acceptable range for a pilot study (Cronbach's α = 0.61). This evaluation of a Uganda-adapted General Self-Efficacy Scale demonstrated promising psychometric properties; however, larger studies with repeated measures are warranted to further assess the adapted scale's factor structure, validity, reliability, and stability over time.