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      Explaining the effects of a multifaceted intervention to improve inpatient care in rural Kenyan hospitals -- interpretation based on retrospective examination of data from participant observation, quantitative and qualitative studies

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          Abstract

          Background

          We have reported the results of a cluster randomized trial of rural Kenyan hospitals evaluating the effects of an intervention to introduce care based on best-practice guidelines. In parallel work we described the context of the study, explored the process and perceptions of the intervention, and undertook a discrete study on health worker motivation because this was felt likely to be an important contributor to poor performance in Kenyan public sector hospitals. Here, we use data from these multiple studies and insights gained from being participants in and observers of the intervention process to provide our explanation of how intervention effects were achieved as part of an effort to better understand implementation in low-income hospital settings.

          Methods

          Initial hypotheses were generated to explain the variation in intervention effects across place, time, and effect measure (indicator) based on our understanding of theory and informed by our implementation experience and participant observations. All data sources available for hospitals considered as cases for study were then examined to determine if hypotheses were supported, rejected, or required modification. Data included transcriptions of interviews and group discussions, field notes and that from the detailed longitudinal quantitative investigation. Potentially useful explanatory themes were identified, discussed by the implementing and research team, revised, and merged as part of an iterative process aimed at building more generic explanatory theory. At the end of this process, findings were mapped against a recently reported comprehensive framework for implementation research.

          Results

          A normative re-educative intervention approach evolved that sought to reset norms and values concerning good practice and promote 'grass-roots' participation to improve delivery of correct care. Maximal effects were achieved when this strategy and external support supervision helped create a soft-contract with senior managers clarifying roles and expectations around desired performance. This, combined with the support of facilitators acting as an expert resource and 'shop-floor' change agent, led to improvements in leadership, accountability, and resource allocation that enhanced workers' commitment and capacity and improved clinical microsystems. Provision of correct care was then particularly likely if tasks were simple and a good fit to existing professional routines. Our findings were in broad agreement with those defined as part of recent work articulating a comprehensive framework for implementation research.

          Conclusions

          Using data from multiple studies can provide valuable insight into how an intervention is working and what factors may explain variability in effects. Findings clearly suggest that major intervention strategies aimed at improving child and newborn survival in low-income settings should go well beyond the fixed inputs (training, guidelines, and job aides) that are typical of many major programmes. Strategies required to deliver good care in low-income settings should recognize that this will need to be co-produced through engagement often over prolonged periods and as part of a directive but adaptive, participatory, information-rich, and reflective process.

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          Most cited references27

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          Guidelines and mindlines: why do clinical staff over-diagnose malaria in Tanzania? A qualitative study

          Background Malaria over-diagnosis in Africa is widespread and costly both financially and in terms of morbidity and mortality from missed diagnoses. An understanding of the reasons behind malaria over-diagnosis is urgently needed to inform strategies for better targeting of antimalarials. Methods In an ethnographic study of clinical practice in two hospitals in Tanzania, 2,082 patient consultations with 34 clinicians were observed over a period of three months at each hospital. All clinicians were also interviewed individually as well as being observed during routine working activities with colleagues. Interviews with five tutors and 10 clinical officer students at a nearby clinical officer training college were subsequently conducted. Results Four, primarily social, spheres of influence on malaria over-diagnosis were identified. Firstly, the influence of initial training within a context where the importance of malaria is strongly promoted. Secondly, the influence of peers, conforming to perceived expectations from colleagues. Thirdly, pressure to conform with perceived patient preferences. Lastly, quality of diagnostic support, involving resource management, motivation and supervision. Rather than following national guidelines for the diagnosis of febrile illness, clinician behaviour appeared to follow 'mindlines': shared rationales constructed from these different spheres of influence. Three mindlines were identified in this setting: malaria is easier to diagnose than alternative diseases; malaria is a more acceptable diagnosis; and missing malaria is indefensible. These mindlines were apparent during the training stages as well as throughout clinical careers. Conclusion Clinicians were found to follow mindlines as well as or rather than guidelines, which incorporated multiple social influences operating in the immediate and the wider context of decision making. Interventions to move mindlines closer to guidelines need to take the variety of social influences into account.
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            Health sector reform and public sector health worker motivation: a conceptual framework.

            Motivation in the work context can be defined as an individual's degree of willingness to exert and maintain an effort towards organizational goals. Health sector performance is critically dependent on worker motivation, with service quality, efficiency, and equity, all directly mediated by workers' willingness to apply themselves to their tasks. Resource availability and worker competence are essential but not sufficient to ensure desired worker performance. While financial incentives may be important determinants of worker motivation, they alone cannot and have not resolved all worker motivation problems. Worker motivation is a complex process and crosses many disciplinary boundaries, including economics, psychology, organizational development, human resource management, and sociology. This paper discusses the many layers of influences upon health worker motivation: the internal individual-level determinants, determinants that operate at organizational (work context) level, and determinants stemming from interactions with the broader societal culture. Worker motivation will be affected by health sector reforms which potentially affect organizational culture, reporting structures, human resource management, channels of accountability, types of interactions with clients and communities, etc. The conceptual model described in this paper clarifies ways in which worker motivation is influenced and how health sector reform can positively affect worker motivation. Among others, health sector policy makers can better facilitate goal congruence (between workers and the organizations they work for) and improved worker motivation by considering the following in their design and implementation of health sector reforms: addressing multiple channels for worker motivation, recognizing the importance of communication and leadership for reforms, identifying organizational and cultural values that might facilitate or impede implementation of reforms, and understanding that reforms may have differential impacts on various cadres of health workers.
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              Improving the quality of health care in the United Kingdom and the United States: a framework for change.

              Fueled by public incidents and growing evidence of deficiencies in care, concern over the quality and outcomes of care has increased in both the United Kingdom and the United States. Both countries have launched a number of initiatives to deal with these issues. These initiatives are unlikely to achieve their objectives without explicit consideration of the multilevel approach to change that includes the individual, group/team, organization, and larger environment/system level. Attention must be given to issues of leadership, culture, team development, and information technology at all levels. A number of contingent factors influence these efforts in both countries, which must each balance a number of tradeoffs between centralization and decentralization in efforts to sustain the impetus for quality improvement over time. The multilevel change framework and associated properties provide a framework for assessing progress along the journey.
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                Author and article information

                Journal
                Implement Sci
                Implementation Science : IS
                BioMed Central
                1748-5908
                2011
                2 December 2011
                : 6
                : 124
                Affiliations
                [1 ]KEMRI-Wellcome Trust Research Programme, P.O. Box 43640, Nairobi 00100, Kenya
                [2 ]Department of Paediatrics, University of Oxford, John Radcliffe Hospital, Oxford, UK
                [3 ]Department of Paediatrics and Child Health, College of Health Sciences, University of Nairobi, Nairobi, Kenya
                Article
                1748-5908-6-124
                10.1186/1748-5908-6-124
                3248845
                22132875
                34ba3f0f-8c90-4885-9155-b40854860026
                Copyright ©2011 English et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 May 2011
                : 2 December 2011
                Categories
                Research

                Medicine
                Medicine

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