Dataset Information

Using Evidence to Drive Impact: Developing the FP Goals Impact Matrix.

ABSTRACT: When designing a family planning (FP) strategy, decision-makers can choose from a wide range of interventions designed to expand access to and develop demand for FP. However, not all interventions will have the same impact on increasing modern contraceptive prevalence (mCP). Understanding the existing evidence is critical to planning successful and cost-effective programs. The Impact Matrix is the first comprehensive summary of the impact of a full range of FP interventions on increasing mCP using a single comparable metric. It was developed through an extensive literature review with input from the wider FP community, and includes 138 impact factors highlighting the range of effectiveness observed across categories and subcategories of FP interventions. The Impact Matrix is central to the FP Goals model, used to project scenarios of mCP growth that help decision-makers set realistic goals and prioritize investments. Development of the Impact Matrix, evidence gaps identified, and the contribution to FP Goals are discussed.

SUBMITTER: Weinberger M

PROVIDER: S-EPMC6916549 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Using Evidence to Drive Impact: Developing the FP Goals Impact Matrix.

Weinberger Michelle M Williamson Jessica J Stover John J Sonneveldt Emily E

Studies in family planning 20191203 4

When designing a family planning (FP) strategy, decision-makers can choose from a wide range of interventions designed to expand access to and develop demand for FP. However, not all interventions will have the same impact on increasing modern contraceptive prevalence (mCP). Understanding the existing evidence is critical to planning successful and cost-effective programs. The Impact Matrix is the first comprehensive summary of the impact of a full range of FP interventions on increasing mCP usi ...[more]

PMID: 31793671

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Project description:BackgroundBehavioural approaches to knowledge translation inform interventions to improve healthcare. However, such approaches often focus on a single behaviour without considering that health professionals perform multiple behaviours in pursuit of multiple goals in a given clinical context. In resource-limited consultations, performing these other goal-directed behaviours may influence optimal performance of a particular evidence-based behaviour. This study aimed to investigate whether a multiple goal-directed behaviour perspective might inform implementation research beyond single-behaviour approaches.MethodsWe conducted theory-based semi-structured interviews with 12 general medical practitioners (GPs) in Scotland on their views regarding two focal clinical behaviours--providing physical activity (PA) advice and prescribing to reduce blood pressure (BP) to <140/80 mmHg--in consultations with patients with diabetes and persistent hypertension. Theory-based constructs investigated were: intention and control beliefs from the theory of planned behaviour, and perceived interfering and facilitating influence of other goal-directed behaviours performed in a diabetes consultation. We coded interview content into pre-specified theory-based constructs and organised codes into themes within each construct using thematic analysis.ResultsMost GPs reported strong intention to prescribe to reduce BP but expressed reasons why they would not. Intention to provide PA advice was variable. Most GPs reported that time constraints and patient preference detrimentally affected their control over providing PA advice and prescribing to reduce BP, respectively. Most GPs perceived many of their other goal-directed behaviours as interfering with providing PA advice, while fewer GPs reported goal-directed behaviours that interfere with prescribing to reduce BP. Providing PA advice and prescribing to reduce BP were perceived to be facilitated by similar diabetes-related behaviours (e.g., discussing cholesterol). While providing PA advice was perceived to be mainly facilitated by providing other lifestyle-related clinical advice (e.g., talking about weight), BP prescribing was reported as facilitated by pursuing ongoing standard consultation-related goals (e.g., clearly structuring the consultation).ConclusionGPs readily relate their other goal-directed behaviours with having a facilitating and interfering influence on their performance of particular evidence-based behaviours. This may have implications for advancing the theoretical development of behavioural approaches to implementation research beyond single-behaviour models.

Project description:BackgroundClass specific deprescribing guidelines could help clinicians taper and stop medications no longer needed or which may be causing more harm than benefit. We set out to develop methodology to create such guidelines using evidence-based methods for guideline development, evidence synthesis and recommendation rating.Methods and findingsUsing a comprehensive checklist for a successful guideline enterprise, we conducted a national modified Delphi consensus process to identify priorities for deprescribing guidelines, then conducted scoping exercises to identify feasible topics, and sequentially developed three deprescribing guidelines. We selected guideline development team members for clinical expertise; a GRADE member worked with staff to ensure guideline development processes were followed. We conducted or used systematic searches and reviews of deprescribing trials of selected drug classes, reviews or systematic reviews of drug class effectiveness, reviews of reviews of drug class harm and narrative syntheses of contextual questions to inform recommendations and guideline development. Our 8 step process for guideline development included defining scope and purpose, developing a logic model to guide the process and generate key clinical questions, setting criteria for admissible evidence and conducting systematic reviews, synthesizing evidence considering additional contextual information and performing quality estimates, formulating recommendations and providing strength estimations, adding clinical considerations, conducting clinical and stakeholder review and finally updating content pre-publication. Innovative aspects of the guideline development process included synthesizing evidence for outcomes of tapering or stopping medication, and incorporating evidence for medication harm into the recommendation strength rating. Through the development of three deprescribing guidelines (for proton pump inhibitors, benzodiazepine receptor agonists and antipsychotics) and associated decision-support algorithms, we were able to gradually hone the methodology; each guideline will be published separately.ConclusionOur methodology demonstrates the importance of searching for short and long-term outcomes, showing the benefits of deprescribing and studying patient preferences. This publication will support development of future deprescribing guidelines.

Dataset Information

Using Evidence to Drive Impact: Developing the FP Goals Impact Matrix.

Publications

Using Evidence to Drive Impact: Developing the FP Goals Impact Matrix.

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