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1.
Qual Saf Health Care ; 18(6): 434-40, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19955453

ABSTRACT

BACKGROUND: Although 20% or more of healthcare-associated infections can be prevented, many hospitals have not implemented practices known to reduce infections. We explored the types and numbers of champions who lead efforts to implement best practices to prevent hospital-acquired infection in US hospitals. METHODS: Qualitative analyses were conducted within a multisite, sequential mixed methods study of infection prevention practices in Veteran Affairs and non-Veteran Affairs hospitals in the USA. The first phase included telephone interviews conducted in 2005-2006 with 38 individuals at 14 purposively selected hospitals. The second phase used findings from phase 1 to select six hospitals for site visits and interviews with another 48 individuals in 2006-2007. RESULTS: It was possible for a single well-placed champion to implement a new technology, but more than one champion was needed when an improvement required people to change behaviours. Although the behavioural change itself may appear to be an inexpensive and simple solution, implementation was often more complicated than changing technology because behavioural changes required interprofessional coalitions working together. Champions in hospitals with low-quality working relationships across units or professions had a particularly challenging time implementing behavioural change. Merely appointing champions is ineffective; rather, successful champions tended to be intrinsically motivated and enthusiastic about the practices they promoted. Even when broad implementation is stymied, champions can implement change within their own sphere of influence. CONCLUSIONS: The types and numbers of champions varied with the type of practice implemented and the effectiveness of champions was affected by the quality of organisational networks.


Subject(s)
Cross Infection/prevention & control , Infection Control/organization & administration , Leadership , Quality Assurance, Health Care/methods , Attitude of Health Personnel , Catheterization, Central Venous/adverse effects , Cooperative Behavior , Hospital Administration , Humans , Organizational Innovation , United States
2.
J Med Ethics ; 35(1): 57-64, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19103946

ABSTRACT

OBJECTIVE: To determine whether a moral reasoning exercise can improve response quality to surveys of healthcare priorities METHODS: A randomised internet survey focussing on patient age in healthcare allocation was repeated twice. From 2574 internet panel members from the USA and Canada, 2020 (79%) completed the baseline survey and 1247 (62%) completed the follow-up. We elicited respondent preferences for age via five allocation scenarios. In each scenario, a hypothetical health planner made a decision to fund one of two programmes identical except for average patient age (35 vs 65 years). Half of the respondents (intervention group) were randomly assigned to receive an additional moral reasoning exercise. Responses were elicited again 7 weeks later. Numerical scores ranging from -5 (strongest preference for younger patients) to +5 (strongest preference for older patients); 0 indicates no age preference. Response quality was assessed by propensity to choose extreme or neutral values, internal consistency, temporal stability and appeal to prejudicial factors. RESULTS: With the exception of a scenario offering palliative care, respondents preferred offering scarce resources to younger patients in all clinical contexts. This preference for younger patients was weaker in the intervention group. Indicators of response quality favoured the intervention group. CONCLUSIONS: Although people generally prefer allocating scarce resources to young patients over older ones, these preferences are significantly reduced when participants are encouraged to reflect carefully on a wide range of moral principles. A moral reasoning exercise is a promising strategy to improve response quality to surveys of healthcare priorities.


Subject(s)
Decision Making/ethics , Health Care Rationing/ethics , Health Priorities/ethics , Adult , Age Factors , Aged , Canada , Female , Health Care Surveys , Humans , Internet , Male , Public Opinion , Surveys and Questionnaires , United States
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