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Can care coordination across levels be improved through the implementation of participatory action research interventions? Outcomes and conditions for sustaining changes in five Latin American countries.

ABSTRACT: BACKGROUND:Finding new strategies for care integration has become a policy priority for many fragmented health systems in Latin America. Although the implementation of interventions through a participatory action research (PAR) approach is considered to be more effective in achieving organizational change, its application is scarce. This study, part of the research project Equity-LA II, aims to analyze the impact of PAR interventions on care coordination across levels, and key aspects for their sustainability and transferability, from the stakeholder viewpoint in healthcare networks of Brazil, Chile, Colombia, Mexico and Uruguay. Different interventions were designed and implemented through a PAR process to improve communication and clinical agreement between primary care and secondary care doctors: joint meetings to discuss clinical cases and/or training; shared care guidelines; offline virtual consultations; a referral and reply letter; and an induction program. METHODS:A qualitative, descriptive-interpretative study was conducted in the healthcare network of each country. Focus groups and semi-structured individual interviews were conducted with a criterion sample of participants: local steering committee (29) and professional platform members (28), other health professionals (49) and managers (28). Thematic content analysis was conducted, segmented by country and type of intervention. RESULTS:Informants highlighted that joint meetings based on reflexive methods contributed substantially to improving contextually relevant elements of clinical management coordination - communication in patient follow-up, clinical agreement, appropriateness of referrals - and also administrative coordination. The meetings, alongside the PAR process, also helped to improve interaction between professionals - knowing each other personally and mutual trust - thus fostering willingness to collaborate. The PAR approach, moreover, served to spread awareness of the coordination problems and need for intervention, encouraging greater commitment and interest in participating. No noteworthy contributions were identified in remaining interventions due to low uptake. A necessary condition for the sustainability and replicability was that PAR process had to be used appropriately in a favourable context. CONCLUSIONS:Evidence is provided on the substantial contribution of interventions to improving locally relevant clinical coordination elements and professional interaction when implemented through an adequate PAR process (in terms of time, method and participation levels), a necessary condition for their sustainability and replicability.

SUBMITTER: Vargas I

PROVIDER: S-EPMC7552474 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Can care coordination across levels be improved through the implementation of participatory action research interventions? Outcomes and conditions for sustaining changes in five Latin American countries.

Vargas Ingrid I Eguiguren Pamela P Mogollón-Pérez Amparo-Susana AS Samico Isabella I Bertolotto Fernando F López-Vázquez Julieta J Vázquez María-Luisa ML

BMC health services research 20201012 1

<h4>Background</h4>Finding new strategies for care integration has become a policy priority for many fragmented health systems in Latin America. Although the implementation of interventions through a participatory action research (PAR) approach is considered to be more effective in achieving organizational change, its application is scarce. This study, part of the research project Equity-LA II, aims to analyze the impact of PAR interventions on care coordination across levels, and key aspects fo ...[more]

PMID: 33046079

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Project description:Although fragmentation in the provision of services is considered an obstacle to effective health care, there is scant evidence on the impact of interventions to improve care coordination between primary care and secondary care in terms of continuity of care-i.e. from the patient perspective-particularly in Latin America (LA). Within the framework of the Equity-LA II project, interventions to improve coordination across care levels were implemented in five Latin American countries (Brazil, Chile, Colombia, Mexico and Uruguay) through a participatory action research (PAR) process. This paper analyses the impact of these PAR interventions on the cross-level continuity of care of chronic patients in public healthcare networks. A quasi-experimental study was performed with measurements based on two surveys of a sample of patients with chronic conditions (392 per network; 800 per country). Both the baseline (2015) and evaluation (2017) surveys were conducted using the CCAENA questionnaire. In each country, two comparable public healthcare networks were selected, one intervention and one control. Outcomes were cross-level continuity of information and clinical management continuity. Descriptive analyses were conducted, and Poisson regression models with robust variance were fitted to estimate changes. With differences between countries, the results showed improvements in cross-level continuity of clinical information (transfer of clinical information) and clinical management continuity (care coherence). These results are consistent with those of previous studies on the effectiveness of the interventions implemented in each country in improving care coordination in Brazil, Chile and Colombia. Differences between countries are probably related to particular contextual factors and events that occurred during the implementation process. This supports the notion that certain context and process factors are needed to improve continuity of care. The results provide evidence that, although the interventions were designed to enhance care coordination and aimed at health professionals, patients report improvements in continuity of care.

Project description:BackgroundNovel influenza surveillance systems that leverage Internet-based real-time data sources including Internet search frequencies, social-network information, and crowd-sourced flu surveillance tools have shown improved accuracy over the past few years in data-rich countries like the United States. These systems not only track flu activity accurately, but they also report flu estimates a week or more ahead of the publication of reports produced by healthcare-based systems, such as those implemented and managed by the Centers for Disease Control and Prevention. Previous work has shown that the predictive capabilities of novel flu surveillance systems, like Google Flu Trends (GFT), in developing countries in Latin America have not yet delivered acceptable flu estimates.ObjectiveThe aim of this study was to show that recent methodological improvements on the use of Internet search engine information to track diseases can lead to improved retrospective flu estimates in multiple countries in Latin America.MethodsA machine learning-based methodology that uses flu-related Internet search activity and historical information to monitor flu activity, named ARGO (AutoRegression with Google search), was extended to generate flu predictions for 8 Latin American countries (Argentina, Bolivia, Brazil, Chile, Mexico, Paraguay, Peru, and Uruguay) for the time period: January 2012 to December of 2016. These retrospective (out-of-sample) Influenza activity predictions were compared with historically observed flu suspected cases in each country, as reported by Flunet, an influenza surveillance database maintained by the World Health Organization. For a baseline comparison, retrospective (out-of-sample) flu estimates were produced for the same time period using autoregressive models that only leverage historical flu activity information.ResultsOur results show that ARGO-like models' predictive power outperform autoregressive models in 6 out of 8 countries in the 2012-2016 time period. Moreover, ARGO significantly improves on historical flu estimates produced by the now discontinued GFT for the time period of 2012-2015, where GFT information is publicly available.ConclusionsWe demonstrate here that a self-correcting machine learning method, leveraging Internet-based disease-related search activity and historical flu trends, has the potential to produce reliable and timely flu estimates in multiple Latin American countries. This methodology may prove helpful to local public health officials who design and implement interventions aimed at mitigating the effects of influenza outbreaks. Our methodology generally outperforms both the now-discontinued tool GFT, and autoregressive methodologies that exploit only historical flu activity to produce future disease estimates.

Project description:Healthcare coordination is considered key to improving care quality. Although participatory action research (PAR) has been used effectively to bridge the gap between evidence and practice in other areas, little is known about the key success factors of its use in healthcare organizations. This article analyses the factors influencing the implementation of PAR interventions to improve clinical coordination from the perspective of actors in public healthcare networks of Brazil, Chile, Colombia, Mexico and Uruguay. A qualitative, descriptive-interpretative study was conducted in each country's healthcare network. Focus groups and semi-structured individual interviews were conducted to a criterion sample of: local steering committee (LSC) (29), professional platform (PP) (28), health professionals (49) and managers (28). Thematic content analysis was conducted, segmented by country and themes. The PAR process led by the LSC covered the return of baseline results, selection of problems and interventions and design, implementation and adjustment of the intervention, with PP. Interventions were implemented to improve communication and clinical agreement between primary and secondary care. Results reveal that contextual factors, the PAR process and the intervention's content influenced their implementation, interacting across time. First, institutional support providing necessary resources, and professionals' and managers' willingness to participate, emerge as contextual pivotal factors, influenced by other factors related to: the system (alignment with policy and political cycle), networks (lack of time due to work overload and inadequate working conditions) and individuals (not knowing each other and mutual mistrust). Second, different characteristics of the PAR process have a bearing, in turn, on institutional support and professionals' motivation: participation, flexibility, consensual decision-making, the LSC's leadership and the facilitating role of researchers. Evidence is provided that implementation through an adequate PAR process can become a factor of motivation and cohesion that is crucial to the adoption of care coordination interventions, leading to better results when certain contextual factors converge.

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Can care coordination across levels be improved through the implementation of participatory action research interventions? Outcomes and conditions for sustaining changes in five Latin American countries.

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Can care coordination across levels be improved through the implementation of participatory action research interventions? Outcomes and conditions for sustaining changes in five Latin American countries.

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