Dataset Information

Implementing Prevention Plus with Underserved Families in an Integrated Primary Care Setting.

ABSTRACT: Background: This proof-of-concept trial examined a 6-month Prevention Plus (PP) intervention implemented in a federally qualified health center on child standardized BMI (ZBMI), using a planned clinical effect threshold of -0.16 ZBMI. The relationship between food security status and PP delivered with caregiver goals (PP+) and without caregiver goals (PP-) on energy balance behaviors (i.e., fruits and vegetables, physical activity) and child ZBMI was explored. Methods: Seventy-three, underserved children, 4-10 years of age with a BMI ≥85th percentile, were randomized to one of two interventions, PP+ and PP-, both providing 2.5 hours of contact time, implemented in five clinics by behavioral health consultants (BHCs). Outcomes were child anthropometrics (included 9-month follow-up), implementation data collected from electronic health records, and caregiver and BHC evaluations. Results: Children were 57.5% female and 78.1% Hispanic, with 32.9% from food-insecure households and 58.9% from households with an annual income of less than $20,000. Child ZBMI significantly (p < 0.05) decreased at 6 and 9 months (-0.08 ± 0.24 and -0.12 ± 0.43), with only PP+ reaching the clinical threshold at 9 months (PP+: -0.20 ± 0.42 vs. PP-: -0.05 ± 0.42). Sixty-four percent of families attended ≥50% of the sessions, and BHCs delivered 78.5% ± 23.5% of components at attended sessions. Caregivers were satisfied with the intervention and BHCs found the intervention helpful/useful. No relationship with food insecurity status and outcomes was found. Conclusions: PP+ when delivered by a primary care provider to underserved families showed promise for producing a clinically meaningful effect. Families and providers felt the intervention was a viable treatment option.

SUBMITTER: Raynor HA

PROVIDER: S-EPMC9145591 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Implementing Prevention Plus with Underserved Families in an Integrated Primary Care Setting.

Raynor Hollie A HA Propst Sara S Robson Shannon S Berlin Kristoffer S KS Barroso Cristina S CS Khatri Parinda P

Childhood obesity (Print) 20211112 4

Background: This proof-of-concept trial examined a 6-month Prevention Plus (PP) intervention implemented in a federally qualified health center on child standardized BMI (ZBMI), using a planned clinical effect threshold of -0.16 ZBMI. The relationship between food security status and PP delivered with caregiver goals (PP+) and without caregiver goals (PP-) on energy balance behaviors (i.e., fruits and vegetables, physical activity) and child ZBMI was explored. Methods: ...[more]

PMID: 34767729

Similar Datasets

Project description:BackgroundContinuing medical education (CME), as a systematic attempt to facilitate change in General Practitioners' (GPs) practices, is considered crucial, assuming that if physicians are up-to-date, they will change and improve their practice, resulting in better performance and ultimately better patient care. However, studies continue to demonstrate considerable gaps between the real and ideal performance and patient-related outcomes. The objective of this study was to explore GP's perception of the factors affecting the implementation of a CME digital platform in a primary health care setting in Portugal.MethodsOur work is framed in a larger effectiveness-implementation hybrid type 1 study, where a Digital Behaviour Change Intervention (DBCI), called ePrimaPrescribe, was developed and implemented with the aim of changing benzodiazepines (BZD) prescribing patterns. Our design used mixed methodologies to obtain an enriched knowledge on GPs' perspectives on the facilitators and barriers to implementing a Digital Behaviour Change Intervention (DBCI) applied to CME. To do so, we used data coming from an onsite questionnaire, an adapted version of the Barriers and Facilitators Assessment Instrument (BaFAI) and in-depth interviews.ResultsFrom the 47 GPs successfully included in the intervention arm of our cluster-randomized effectiveness study, we collected 37 onsite questionnaires, 24 BaFAIs, and performed 12 in-depth interviews. GPs reported as the main barriers to CME a lack of time, a perception of work overload, a lack of digital competence, a lack of digital infrastructure, and motivational and emotional factors. They reported as facilitators to CME delivered through a DBCI the convenience of the delivery method, the practical and pragmatic characteristics of the content, and the possibility for CME to be mandatory.ConclusionsThe perceptions of the barriers and facilitators reported by GPs represent an important contribution to improving knowledge regarding the factors influencing the implementation of CME in primary health care settings. We consider that our study might bring useful insights to other countries where primary health care plays a central role in the provision of care.Trial registrationClinicalTrials.gov number NCT04925596 .

Project description:BackgroundIn order to tackle the considerable treatment gap for epilepsy in many low- and middle-income countries (LMICs), a task sharing model is recommended whereby care is integrated into primary health services. However, there are limited data on implementation and impact of such services in LMICs. Our study aimed to explore the perspectives of service users and caregivers on the accessibility, experience and perceived impact of epilepsy treatment received in a task-shared model in a rural district of Ethiopia.MethodsA qualitative study was carried out using interviews with purposively sampled service users (n = 13) and caregivers (n = 3) from a community-ascertained cohort of people with epilepsy receiving integrated services in primary care in rural Ethiopia. Interviews followed a topic guide with questions regarding acceptability, satisfaction, barriers to access care, pathways through care and impact of services. Framework analysis was employed to analyse the data.ResultsProximity of the new service in local primary health centers decreased the cost of transportation for the majority of service users thus improving access to services. First-hand experience of services was in some cases associated with a willingness to promote the services and inform others of the existence of effective biomedical treatment for epilepsy. However, most service users and their caregivers continued to seek help from traditional healers alongside biomedical care. Most of the care received was focused on medication provision with limited information provided on how to manage their illness and its effects. Caregivers and service users spoke about the high emotional and financial burden of the disease and lack of ongoing practical and emotional support. The majority of participants reported clinical improvement on medication, which in over half of the participants was associated with ability to return to money generating activities.ConclusionsTask-sharing improved the accessibility of epilepsy care for services users and caregivers and was perceived as having a positive impact on symptoms and productivity. Nonetheless, promotion of self-management, holistic care and family engagement were highlighted as areas requiring further improvement. Future work on implementing chronic care models in LMIC contexts is warranted.

Project description:BACKGROUND:An estimated 8.2 million adults in the United States live with co-occurring mental health and substance use disorders. Although the benefits of integrated treatment services for persons with co-occurring disorders has been well-established, gaps in access to integrated care persist. Implementation research can address this gap. We evaluated if the Network for the Improvement of Addiction Treatment (NIATx) implementation strategy was effective in increasing integrated services capacity among organizations treating persons with co-occurring disorders. METHODS:This study employed a cluster randomized waitlist control group design. Forty-nine addiction treatment organizations from the State of Washington were randomized into one of two study arms: (1) NIATx strategy (active implementation strategy), or (2) waitlist (control). The primary outcome was a standardized organizational measure of integrated service capability: the Dual Diagnosis in Addiction Treatment (DDCAT) Index. Intent-to-treat analyses and per-protocol analyses were conducted to address the following questions: (1) Is NIATx effective in increasing integrated service capacity? and (2) Are there differences in organizations that actually use NIATx per-protocol versus those that do not? RESULTS:From baseline to one-year post active implementation, both the NIATx strategy and waitlist arms demonstrated improvements over time in DDCAT Index total and DDCAT dimension scores. In intent-to-treat analyses, a moderate but statistically significant difference in improvement between study arms was seen only in the Program Milieu dimension (p =?0.020, Cohen's d?=?0.54). In per-protocol analyses, moderate-to-large effects in Program Milieu (p =?0.002, Cohen's d?=?0.91) and Continuity of Care (p =?0.026, Cohen's d?=?0.63) dimensions, and in total DDCAT Index (p =?0.046, Cohen's d?=?0.51) were found. CONCLUSIONS:Overall, organizations in both study arms improved DDCAT Index scores over time. Organizations in the NIATx strategy arm with full adherence to the NIATx protocol had significantly greater improvements in the primary outcome measure of integrated service capacity for persons with co-occurring disorders. TRAIL REGISTRATION:ClinicalTrials.gov, NCT03007940 . Retrospectively registered January 2017.

Project description:BackgroundAustralian cardiovascular disease (CVD) prevention guidelines recommend absolute CVD risk assessment, but less than half of eligible patients have the required risk factors recorded due to fragmented implementation over the last decade. Co-designed decision aids for general practitioners (GPs) and consumers have been developed that improve knowledge barriers to guideline-recommended CVD risk assessment and management. This study used a stakeholder consultation process to identify and pilot test the feasibility of implementation strategies for these decision aids in Australian primary care.MethodsThis mixed methods study included: (1) stakeholder consultation to map existing implementation strategies (2018-20); (2) interviews with 29 Primary Health Network (PHN) staff from all Australian states and territories to identify new implementation opportunities (2021); (3) pilot testing the feasibility of low, medium, and high resource implementation strategies (2019-21). Framework Analysis was used for qualitative data and Google analytics provided decision support usage data over time.ResultsInformal stakeholder discussions indicated a need to partner with existing programs delivered by the Heart Foundation and PHNs. PHN interviews identified the importance of linking decision aids with GP education resources, quality improvement activities, and consumer-focused prevention programs. Participants highlighted the importance of integration with general practice processes, such as business models, workflows, medical records and clinical audit software. Specific implementation strategies were identified as feasible to pilot during COVID-19: (1) low resource: adding website links to local health area guidelines for clinicians and a Heart Foundation toolkit for primary care providers; (2) medium resource: presenting at GP education conferences and integrating the resources into audit and feedback reports; (3) high resource: auto-populate the risk assessment and decision aids from patient records via clinical audit software.ConclusionsThis research identified a wide range of feasible strategies to implement decision aids for CVD risk assessment and management. The findings will inform the translation of new CVD guidelines in primary care. Future research will use economic evaluation to explore the added value of higher versus lower resource implementation strategies.

Dataset Information

Implementing Prevention Plus with Underserved Families in an Integrated Primary Care Setting.

Publications

Implementing Prevention Plus with Underserved Families in an Integrated Primary Care Setting.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets