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Assessing the health benefits of advice services: using research evidence and logic model methods to explore complex pathways.

ABSTRACT: Poverty is positively associated with poor health; thus, some healthcare commissioners in the UK have pioneered the introduction of advice services in health service locations. Previous systematic reviews have found little direct evidence for a causal relationship between the provision of advice and physical health and limited evidence for mental health improvement. This paper reports a study using a broader range of types of research evidence to construct a conceptual (logic) model of the wider evidence underpinning potential (rather than only proven) causal pathways between the provision of advice services and improvements in health. Data and discussion from 87 documents were used to construct a model describing interventions, primary outcomes, secondary and tertiary outcomes following advice interventions. The model portrays complex causal pathways between the intervention and various health outcomes; it also indicates the level of evidence for each pathway. It can be used to inform the development of research designed to evaluate the pathways between interventions and health outcomes, which will determine the impact on health outcomes and may explain inconsistencies in previous research findings. It may also be useful to commissioners and practitioners in making decisions regarding development and commissioning of advice services.

SUBMITTER: Allmark P

PROVIDER: S-EPMC3557712 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Assessing the health benefits of advice services: using research evidence and logic model methods to explore complex pathways.

Allmark Peter P Baxter Susan S Goyder Elizabeth E Guillaume Louise L Crofton-Martin Gerard G

Health & social care in the community 20121005 1

Poverty is positively associated with poor health; thus, some healthcare commissioners in the UK have pioneered the introduction of advice services in health service locations. Previous systematic reviews have found little direct evidence for a causal relationship between the provision of advice and physical health and limited evidence for mental health improvement. This paper reports a study using a broader range of types of research evidence to construct a conceptual (logic) model of the wider ...[more]

PMID: 23039788

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Project description:BACKGROUND: In the 21st century, government and industry are supplementing hierarchical, bureaucratic forms of organization with network forms, compatible with principles of devolved governance and decentralization of services. Clinical networks are employed as a key health policy approach to engage clinicians in improving patient care in Australia. With significant investment in such networks in Australia and internationally, it is important to assess their effectiveness and sustainability as implementation mechanisms. METHODS: In two purposively selected, musculoskeletal clinical networks, members and stakeholders were interviewed to ascertain their perceptions regarding key factors relating to network effectiveness and sustainability. We adopted a three-level approach to evaluating network effectiveness: at the community, network, and member levels, across the network lifecycle. RESULTS: Both networks studied are advisory networks displaying characteristics of the 'enclave' type of non-hierarchical network. They are hybrids of the mandated and natural network forms. In the short term, at member level, both networks were striving to create connectivity and collaboration of members. Over the short to medium term, at network level, both networks applied multi-disciplinary engagement in successfully developing models of care as key outputs, and disseminating information to stakeholders. In the long term, at both community and network levels, stakeholders would measure effectiveness by the broader statewide influence of the network in changing and improving practice. At community level, in the long term, stakeholders acknowledged both networks had raised the profile, and provided a 'voice' for musculoskeletal conditions, evidencing some progress with implementation of the network mission while pursuing additional implementation strategies. CONCLUSIONS: This research sheds light on stakeholders' perceptions of assessing clinical network effectiveness at community, network, and member levels during the network's timeline, and on the role of networks and their contribution. Overall, stakeholders reported positive momentum and useful progress in network growth and development, and saw their networks as providing valuable mechanisms for meeting instrumental goals and pursuing collaborative interests. Network forms can prove their utility in addressing 'wicked problems,' and these Australian clinical networks present a practical approach to the difficult issue of clinician engagement in state-level implementation of best practice for improving patient care and outcomes.

Project description:BackgroundTo describe the ethical issues and experiences of scientists conducting mixed methods health services research and to advance empirical and conceptual discussion on ethical integrity in mixed methods health research.MethodsThe study was conducted with 64 scholars, faculty and consultants from the NIH-funded Mixed Methods Research Training Program (MMRTP) for the Health Sciences. This was a cross-sectional study. Survey results were analyzed using descriptive statistics to characterize responses and open coding to summarize strategies about eight ethical mixed methods research issues. Respondents completed an online survey to elicit experiences related to eight ethical issues (informed consent, confidentiality, data management, burden, safety, equitable recruitment, communication, and dissemination) and strategies for addressing them.ResultsOnly about one-third of respondents thought their research ethics training helped them plan, conduct, or report mixed methods research. The most frequently occurring ethical issues were participant burden, dissemination and equitable recruitment (> 70% endorsement). Despite occurring frequently, < 50% of respondents rated each ethical issue as challenging. The most challenging ethical issues were related to managing participant burden, communication, and dissemination. Strategies reported to address ethical issues were largely not specific or unique to mixed methods with the exception of strategies to mitigate participant burden and, to a lesser degree, to facilitate equitable recruitment and promote dissemination of project results.ConclusionsMixed methods health researchers reported encountering ethical issues often yet varying levels of difficulty and effectiveness in the strategies used to mitigate ethical issues. This study highlights some of the unique challenges faced by mixed methods researchers to plan for and appropriately respond to arising ethical issues such as managing participant burden and confidentiality across data sources and utilizing effective communication and dissemination strategies particularly when working with a multidisciplinary research team. As one of the first empirical studies to examine mixed methods research ethics, our findings highlight the need for greater attention to ethics in health services mixed methods research and training.

Project description:BackgroundLogic models are commonly used in evaluations to represent the causal processes through which interventions produce outcomes, yet significant debate is currently taking place over whether they can describe complex interventions which adapt to context. This paper assesses the logic models used in healthcare research from a complexity perspective. A typology of existing logic models is proposed, as well as a formal methodology for deriving more flexible and dynamic logic models.AnalysisVarious logic model types were tested as part of an evaluation of a complex Patient Experience Toolkit (PET) intervention, developed and implemented through action research across six hospital wards/departments in the English NHS. Three dominant types of logic model were identified, each with certain strengths but ultimately unable to accurately capture the dynamics of PET. Hence, a fourth logic model type was developed to express how success hinges on the adaption of PET to its delivery settings. Aspects of the Promoting Action on Research Implementation in Health Services (PARIHS) model were incorporated into a traditional logic model structure to create a dynamic "type 4" logic model that can accommodate complex interventions taking on a different form in different settings.ConclusionLogic models can be used to model complex interventions that adapt to context but more flexible and dynamic models are required. An implication of this is that how logic models are used in healthcare research may have to change. Using logic models to forge consensus among stakeholders and/or provide precise guidance across different settings will be inappropriate in the case of complex interventions that adapt to context. Instead, logic models for complex interventions may be targeted at facilitators to enable them to prospectively assess the settings they will be working in and to develop context-sensitive facilitation strategies. Researchers should be clear as to why they are using a logic model and experiment with different models to ensure they have the correct type.

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Assessing the health benefits of advice services: using research evidence and logic model methods to explore complex pathways.

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Assessing the health benefits of advice services: using research evidence and logic model methods to explore complex pathways.

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