Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25372
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dc.contributor.authorSharma B.
dc.contributor.authorRamani K.V.
dc.contributor.authorMavalankar D.
dc.contributor.authorKanguru L.
dc.contributor.authorHussein J.
dc.date.accessioned2022-02-11T10:16:12Z-
dc.date.available2022-02-11T10:16:12Z-
dc.date.issued2015
dc.identifier.citationSharma, B., Ramani, K. v., Mavalankar, D., Kanguru, L., & Hussein, J. (2015). Using 揳ppreciative inquiry� in India to improve infection control practices in maternity care: A qualitative study. Global Health Action, 8(1). https://doi.org/10.3402/gha.v8.26693
dc.identifier.issn16549880
dc.identifier.urihttps://www.doi.org/10.3402/gha.v8.26693
dc.identifier.urihttp://hdl.handle.net/11718/25372-
dc.description.abstractBackground: Infections acquired during childbirth are a common cause of maternal and perinatal mortality and morbidity. Changing provider behaviour and organisational settings within the health system is key to reducing the spread of infection. Objective: To explore the opinions of health personnel on health system factors related to infection control and their perceptions of change in a sample of hospital maternity units. Design: An organisational change process called 'appreciative inquiry' (AI) was introduced in three maternity units of hospitals in Gujarat, India. AI is a change process that builds on recognition of positive actions, behaviours, and attitudes. In-depth interviews were conducted with health personnel to elicit information on the environment within which they work, including physical and organisational factors, motivation, awareness, practices, perceptions of their role, and other health system factors related to infection control activities. Data were obtained from three hospitals which implemented AI and another three not involved in the intervention. Results: Challenges which emerged included management processes (e.g. decision-making and problemsolving modalities), human resource shortages, and physical infrastructure (e.g. space, water, and electricity supplies). AI was perceived as having a positive influence on infection control practices. Respondents also said that management processes improved although some hospitals had already undergone an accreditation process which could have influenced the changes described. Participants reported that team relationships had been strengthened due to AI. Conclusion: Technical knowledge is often emphasised in health care settings and less attention is paid to factors such as team relationships, leadership, and problem solving. AI can contribute to improving infection control by catalysing and creating forums for team building, shared decision making and problem solving in an enabling environment. � 2015 Bharati Sharma et al.
dc.language.isoen_US
dc.publisherCo-Action Publishing
dc.relation.ispartofGlobal Health Action
dc.subjectAppreciative inquiry
dc.subjectIndia
dc.subjectInfection control
dc.subjectMaternal health
dc.subjectMaternity services
dc.subjectSepsis
dc.titleUsing 'appreciative inquiry' in India to improve infection control practices in maternity care: A qualitative study
dc.typeArticle
dc.rights.licenseCC BY
dc.contributor.affiliationDepartment of women's and children's health, Karolinska Institute, Stockholm, Sweden
dc.contributor.affiliationIndian Institute of Management, Ahmedabad, India
dc.contributor.affiliationIndian Institute of Public Health, Gandhinagar, India
dc.contributor.affiliationImmpact, University of Aberdeen, Aberdeen, United Kingdom
dc.contributor.institutionauthorSharma, B., Department of women's and children's health, Karolinska Institute, Stockholm, Sweden, Indian Institute of Management, Ahmedabad, India, Indian Institute of Public Health, Gandhinagar, India
dc.contributor.institutionauthorRamani, K.V., Indian Institute of Management, Ahmedabad, India
dc.contributor.institutionauthorMavalankar, D., Indian Institute of Public Health, Gandhinagar, India
dc.contributor.institutionauthorKanguru, L., Immpact, University of Aberdeen, Aberdeen, United Kingdom
dc.contributor.institutionauthorHussein, J., Immpact, University of Aberdeen, Aberdeen, United Kingdom
dc.description.scopusid55869815300
dc.description.scopusid7006683305
dc.description.scopusid6701799274
dc.description.scopusid55325130500
dc.description.scopusid6603918813
dc.identifier.doi10.3402/gha.v8.26693
dc.identifier.issue1
dc.identifier.volume8
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