66 research outputs found

    Challenges to implementing the national programme for information technology (NPfIT): a qualitative study.

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    OBJECTIVES: To describe the context for implementing the national programme for information technology (NPfIT) in England, actual and perceived barriers, and opportunities to facilitate implementation. DESIGN: Case studies and in depth interviews, with themes identified using a framework developed from grounded theory. SETTING: Four acute NHS trusts in England. PARTICIPANTS: Senior trust managers and clinicians, including chief executives, directors of information technology, medical directors, and directors of nursing. RESULTS: The trusts varied in their circumstances, which may affect their ability to implement the NPfIT. The process of implementation has been suboptimal, leading to reports of low morale by the NHS staff responsible for implementation. The overall timetable is unrealistic, and trusts are uncertain about their implementation schedules. Short term benefits alone are unlikely to persuade NHS staff to adopt the national programme enthusiastically, and some may experience a loss of electronic functionality in the short term. CONCLUSIONS: The sociocultural challenges to implementing the NPfIT are as daunting as the technical and logistical ones. Senior NHS staff feel these have been neglected. We recommend that national programme managers prioritise strategies to improve communication with, and to gain the cooperation of, front line staff

    Real-world comparison of bleeding risks among non-valvular atrial fibrillation patients prescribed apixaban, dabigatran, or rivaroxaban

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    Limited real-world data are available regarding the comparative safety of non-vitamin K antagonist oral anticoagulants (NOACs). The objective of this retrospective claims observational cohort study was to compare the risk of bleeding among non-valvular atrial fibrillation (NVAF) patients prescribed apixaban, dabigatran, or rivaroxaban. NVAF patients aged ≄18 years with a 1-year baseline period were included if they were new initiators of NOACs or switched from warfarin to a NOAC. Cox proportional hazards modelling was used to estimate the adjusted hazard ratios of any bleeding, clinically relevant non-major (CRNM) bleeding, and major inpatient bleeding within 6 months of treatment initiation for rivaroxaban and dabigatran compared to apixaban. Among 60,227 eligible patients, 8,785 were prescribed apixaban, 20,963 dabigatran, and 30,529 rivaroxaban. Compared to dabigatran or rivaroxaban patients, apixaban patients were more likely to have greater proportions of baseline comorbidities and higher CHA2DS2-VASc and HAS-BLED scores. After adjusting for baseline clinical and demographic characteristics, patients prescribed rivaroxaban were more likely to experience any bleeding (HR: 1.35, 95% confidence interval [CI]: 1.26-1.45), CRNM bleeding (HR: 1.38, 95% CI: 1.27-1.49), and major inpatient bleeding (HR: 1.43, 95% CI: 1.17-1.74), compared to patients prescribed apixaban. Dabigatran patients had similar bleeding risks as apixaban patients. In conclusion, NVAF patients treated with rivaroxaban appeared to have an increased risk of any bleeding, CRNM bleeding, and major inpatient bleeding, compared to apixaban patients. There was no significant difference in any bleeding, CRNM bleeding, or inpatient major bleeding risks between patients treated with dabigatran and apixaban

    Measuring income-related inequalities in health in multi-country analysis

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    Health inequalities remain a cause of concern for policymakers across the world. However, the measurement and monitoring of health inequalities over time and across countries remain a research challenge. The concentration index is one of the most popular measurement tools, however, it presents several drawbacks, especially for bounded variables, which are discussed in this study. Results from the European Community Household Panel dataset and the Statistics of Income and Living Conditions for Europe suggest that there is evidence of persistent socioeconomic inequalities in health in Europe. Further, results show the need of reporting both absolute and relative inequalities for appropriately monitoring and comparing trends in health inequalities across countries.Las desigualdades en salud siguen siendo prioritarias en la agenda polĂ­tica de los paĂ­ses. Sin embargo, la medida y la monitorizaciĂłn de dichas desigualdades en el tiempo y entre paĂ­ses continĂșan siendo un desafĂ­o para los investigadores. El Índice de ConcentraciĂłn es una de las herramientas mĂĄs utilizadas; sin embargo, Ă©ste presenta limitaciones, especialmente para variables limitadas, que son comentadas en este estudio. Los resultados obtenidos a partir del Panel de Hogares de la UniĂłn Europea y las EstadĂ­sticas de Renta y Condiciones de Vida Europea demuestran que existen desigualdades socioeconĂłmicas en salud en Europa persistentes en el tiempo. AdemĂĄs, de los resultados se desprende la necesidad de mostrar las desigualdades tanto absolutas como relativas, para realizar el seguimiento adecuado de las mismas y asimismo, favorecer la comparaciĂłn de las desigualdades en salud entre paĂ­ses

    Inequality in health care use among older people in the United Kingdom: an analysis of panel data

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    Horizontal equity in health care service use is an area that remains relatively unexamined in the literature on older people. The purpose of this study is to investigate the extent of income-related inequity in the use of GP, inpatient, outpatient and dental services among individuals aged 65 and over in the United Kingdom between 1997 and 2003 using a panel analysis of data from the British Household Panel Survey. The probability of GP, outpatient, dentist or inpatient service use between 1997 and 2003 was predicted using multiple random effects probit panel models, and the estimates used to calculate incomerelated horizontal inequity. The results indicate that individuals on a lower income are significantly less likely to visit a GP, specialist or dentist than the better-off, although they have significantly greater need (the reverse is seen for dental care). However, after adjusting for differences in need, horizontal inequity is found with utilization favouring those on a higher income for all service areas, but not significantly in hospital care

    Health inequality: why is it important and can we actually measure it?

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    Health inequalities are present in most European countries and evidence of widening inequalities is shown in a number of national and international studies. However, the measurement and monitoring of health inequalities over time and across countries is not straightforward since the choice of measure will influence the results. Numerous measurement tools have been developed for measuring health. Results can be affected by not only the choice of indicator but also by the social group for analysis. The focus of the paper is mainly on the relationship between relative and absolute inequalities discussing the role of the statistical artefact
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