Women's Sports: A History. By Allen Guttman (New York: Columbia University Press, 1991. x plus 339 pp. $29.95)
In: Journal of social history, Band 26, Heft 2, S. 428-431
ISSN: 1527-1897
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In: Journal of social history, Band 26, Heft 2, S. 428-431
ISSN: 1527-1897
In: Annual review of sociology, Band 14, Heft 1, S. 441-465
ISSN: 1545-2115
In: Computers, Environment and Urban Systems, Band 24, Heft 2, S. 61-64
In: Computers, environment and urban systems: CEUS ; an international journal, Band 24, Heft 2, S. 61-64
ISSN: 0198-9715
Background: Most Ministries of Health across Africa invest substantial resouces in some form of health management information system (HMIS) to coordinate the routine acquisition and compilation of monthly treatment and attendance records from health facilities nationwide. Despite the expense of these systems, poor data coverage means they are rarely, if ever, used to generate reliable evidence for decision makers. One critical weakness across Africa is the current lack of capacity to effectively monitor patterns of service use through time so that the impacts of changes in policy or service delivery can be evaluated. Here, we present a new approach that, for the first time, allows national changes in health service use during a time of major health policy change to be tracked reliably using imperfect data from a national HMIS. Methods: Monthly attendance records were obtained from the Kenyan HMIS for 1 271 government-run and 402 faith-based outpatient facilities nationwide between 1996 and 2004. A space-time geostatistical model was used to compensate for the large proportion of missing records caused by non-reporting health facilities, allowing robust estimation of monthly and annual use of services by outpatients during this period. Results: We were able to reconstruct robust time series of mean levels of outpatient utilisation of health facilities at the national level and for all six major provinces in Kenya. These plots revealed reliably for the first time a period of steady nationwide decline in the use of health facilities in Kenya between 1996 and 2002, followed by a dramatic increase from 2003. This pattern was consistent across different causes of attendance and was observed independently in each province. Conclusion: The methodological approach presented can compensate for missing records in health information systems to provide robust estimates of national patterns of outpatient service use. This represents the first such use of HMIS data and contributes to the resurrection of these hugely expensive ...
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Background As COVID-19 death rates have risen and health-care systems have experienced increased demand, national testing strategies have come under scrutiny. Utilising qualitative interview data from a larger COVID-19 study, this paper provides insights into influences on and the enactment of national COVID-19 testing strategies for health care workers (HCWs) in English NHS settings during wave one of the COVID-19 pandemic (March–August 2020). Through the findings we aim to inform learning about COVID-19 testing policies and practices; and to inform future pandemic diagnostic preparedness. Methods A remote qualitative, semi-structured longitudinal interview method was employed with a purposive snowball sample of senior scientific advisors to the UK Government on COVID-19, and HCWs employed in NHS primary and secondary health care settings in England. Twenty-four interviews from 13 participants were selected from the larger project dataset using a key term search, as not all of the transcripts contained references to testing. Framework analysis was informed by the non-adoption, abandonment, scale-up, spread, and sustainability of patient-facing health and care technologies implementation framework (NASSS) and by normalisation process theory (NPT). Results Our account highlights tensions between the communication and implementation of national testing developments; scientific advisor and HCW perceptions about infectiousness; and uncertainties about the responsibility for testing and its implications at the local level. Conclusions Consideration must be given to the implications of mass NHS staff testing, including the accuracy of information communicated to HCWs; how HCWs interpret, manage, and act on testing guidance; and the influence these have on health care organisations and services.
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This is the final version. Available on open access from BMJ Publishing Group via the DOI in this record ; There is increasing concern globally about the enormity of the threats posed by antimicrobial resistance (AMR) to human, animal, plant and environmental health. A proliferation of international, national and institutional reports on the problems posed by AMR and the need for antibiotic stewardship have galvanised attention on the global stage. However, the AMR community increasingly laments a lack of action, often identified as an ⠀ implementation gap'. At a policy level, the design of internationally salient solutions that are able to address AMR's interconnected biological and social (historical, political, economic and cultural) dimensions is not straightforward. This multidisciplinary paper responds by asking two basic questions: (A) Is a universal approach to AMR policy and antibiotic stewardship possible? (B) If yes, what hallmarks characterise ⠀ good' antibiotic policy? Our multistage analysis revealed four central challenges facing current international antibiotic policy: metrics, prioritisation, implementation and inequality. In response to this diagnosis, we propose three hallmarks that can support robust international antibiotic policy. Emerging hallmarks for good antibiotic policies are: Structural, Equitable and Tracked. We describe these hallmarks and propose their consideration should aid the design and evaluation of international antibiotic policies with maximal benefit at both local and international scales. ; Antimicrobial Resistance Cross Council Initiative ; Economic and Social Research Council (ESRC) ; Department of Health ; Arts and Humanities Research Council (AHRC) ; Wellcome Trust ; INRAE ; CDDEP ; UK Fleming Fund ; Medical Research Council (MRC)
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