Dataset Information

"What gets measured better gets done better": The landscape of validation of global maternal and newborn health indicators through key informant interviews.

ABSTRACT: BACKGROUND:A large number of indicators are currently used to monitor the state of maternal and newborn health, including those capturing dimensions of health system and input, care access and availability, care quality and safety, coverage and outcomes, and impact. Validity of these indicators is a key issue in the process of assessing indicator performance and suitability. This paper aims to understand the meaning of indicator validity in the field of maternal and newborn health, and to identify key recommendations for future research. METHODS:This qualitative study used purposive sampling to identify key informants until thematic saturation was achieved. We interviewed 32 respondents from a variety of backgrounds using semi-structured interviews covering five themes: the meaning of indicator validity, methodological approaches to assessing validity, acceptable levels of indicator validity, gaps in validation research, and recommendations for addressing these gaps. Interview transcripts were analysed data using thematic content approach. RESULTS:Three conceptually different definitions of indicator validity were described by respondents. They considered indicator validity to encompass meaning and potential to spur action, going beyond diagnostic validity. Indicator validation was seen as an ongoing process of building and synthesising a wide range of evidence rather than a one-size-fits-all cut-off in diagnostic validity tests. Gaps identified included assessing validity of indicators of quality of care and indicators based on facility-level data, as well as expanding studies to a broader range of global settings. The key recommendation was to develop a coordinated approach to summarising and evaluating research on indicator validity, including capacity building in appraising and communicating the available evidence for country-specific needs. CONCLUSION:The findings will inform future recommendations around indicator testing and validation.

SUBMITTER: Benova L

PROVIDER: S-EPMC6830807 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

"What gets measured better gets done better": The landscape of validation of global maternal and newborn health indicators through key informant interviews.

Benova Lenka L Moller Ann-Beth AB Moran Allisyn C AC

PloS one 20191105 11

<h4>Background</h4>A large number of indicators are currently used to monitor the state of maternal and newborn health, including those capturing dimensions of health system and input, care access and availability, care quality and safety, coverage and outcomes, and impact. Validity of these indicators is a key issue in the process of assessing indicator performance and suitability. This paper aims to understand the meaning of indicator validity in the field of maternal and newborn health, and t ...[more]

PMID: 31689328

Similar Datasets

Project description:Health Technology Reassessment (HTR) is a structured, evidence-based assessment of the clinical, social, ethical and economic effects of a technology currently used in the health care system, to inform optimal use of that technology in comparison to its alternatives. Little is known about current international HTR practices. The objective of this research was to summarize experience-based information gathered from international experts on the development, initiation and implementation of a HTR program.A mixed methods approach, using a survey and in-depth interviews, was adopted. The survey covered 8 concepts: prioritization/identification of potentially obsolete technologies; program development; implementation; mitigation; program championing; stakeholder engagement; monitoring; and reinvestment. Members of Health Technology Assessment International (HTAi) and the International Network of Agencies for Health Technology Assessment (INAHTA) formed the sampling frame. Participation was solicited via email and the survey was administered online using SurveyMonkey. Survey results were analyzed using descriptive statistics. To gather more in-depth knowledge, semi-structured interviews were conducted among organizations with active HTR programs. Interview questions were developed using the same 8 concepts. The hour-long interviews were recorded, transcribed and analyzed using constant comparative analysis.Ninety-five individuals responded to the survey: 49 were not discussing HTR, 21 were beginning to discuss HTR, nine were imminently developing a program, and 16 participants had programs and were completing reassessments. The survey results revealed that methods vary widely and that although HTR is a powerful tool, it is currently not being used to its full potential. Of the 16 with active programs, nine agreed to participate in follow-up interviews. Interview participants identified early and extensive stakeholder engagement as the most important factors for success. A lack of top-down support and financial and human resources are inhibiting program development.HTR is in its infancy. Although HTRs are being conducted, there are no standardized approaches. However, much can be learned from current international work. Future work should focus on developing a comprehensive methodology, reporting the processes of reassessments and sharing successes and challenges in a common platform.

Project description:BackgroundThere is pressing need to improve hospital-based addiction care. Various models for integrating substance use disorder care into hospital settings exist, but there is no framework for describing, selecting, or comparing models. We sought to fill that gap by constructing a taxonomy of hospital-based addiction care models based on scoping literature review and key informant interviews.MethodsMethods included a scoping review of the literature on US hospital-based addiction care models and interventions for adults, published between January 2000 and July 2021. We conducted semi-structured interviews with 15 key informants experienced in leading, implementing, evaluating, andpracticing hospital-based addiction care to explore model characteristics, including their perceived strengths, limitations, and implementation considerations. We synthesized findings from the literature review and interviews to construct a taxonomy of model types.ResultsSearches identified 2,849 unique abstracts. Of these, we reviewed 280 full text articles, of which 76 were included in the final review. We added 8 references from reference lists and informant interviews, and 4 gray literature sources. We identified six distinct hospital-based addiction care models. Those classified as addiction consult models include (1) interprofessional addiction consult services, (2) psychiatry consult liaison services, and (3) individual consultant models. Those classified as practice-based models, wherein general hospital staff integrate addiction care into usual practice, include (4) hospital-based opioid treatment and (5) hospital-based alcohol treatment. The final type was (6) community-based in-reach, wherein community providers deliver care. Models vary in their target patient population, staffing, and core clinical and systems change activities. Limitations include that some models have overlapping characteristics and variable ways of delivering core components.DiscussionA taxonomy provides hospital clinicians and administrators, researchers, and policy-makers with a framework to describe, compare, and select models for implementing hospital-based addiction care and measure outcomes.

Project description:IntroductionIn the last decade, there has been increased global policy and program momentum to promote early childhood development. The Care for Child Development (CCD) package, developed by UNICEF and the WHO, is a key tool responding to the global demand. The CCD package comprises two age-specific evidence-based recommendations for caregivers to 1) play and communicate and 2) responsively interact with their children (0-5 years) and was designed to be integrated within existing services to strengthen nurturing care for child development. The aim of this report was to provide an up-to-date global review of the implementation and evaluation of the CCD package.MethodsIn addition to a systematic review of 55 reports, we interviewed 23 key informants (including UNICEF and WHO personnel) to better understand the implementation of CCD.ResultsThe CCD package has been or is being implemented in 54 low- and middle-income countries and territories, and it has been integrated into government services across the health, social, and education sectors in 26 countries. Across these contexts, CCD has been adapted in three primary ways: 1) translations of CCD materials (mostly counseling cards) into local language(s), 2) adaptations of CCD materials for the local context, vulnerable children, or a humanitarian/emergency setting (e.g., including local play activities, using activities that are better suited to children with visual impairments), and 3) substantive modifications to the content of CCD materials (e.g., expansion of play and communication activities, addition of new themes, creation of a structured curriculum). While there is promising evidence and examples of good implementation practice, there has been mixed experience about implementation of CCD with respect to adaptation, training, supervision, integration into existing services, and monitoring implementation fidelity and quality. For example, many users of CCD found difficulties with training the workforce, garnering buy-in from governments, and ensuring benefits for families, among others.DiscussionAdditional knowledge on how to improve the effectiveness, implementation fidelity and quality, and acceptance of CCD is needed. Based on the findings of the review we make recommendations for future efforts to implement CCD at-scale.

Dataset Information

"What gets measured better gets done better": The landscape of validation of global maternal and newborn health indicators through key informant interviews.

Publications

"What gets measured better gets done better": The landscape of validation of global maternal and newborn health indicators through key informant interviews.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets