704 resultados para Nurse(s)
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There is considerable interest in the use of genetic algorithms to solve problems arising in the areas of scheduling and timetabling. However, the classical genetic algorithm paradigm is not well equipped to handle the conflict between objectives and constraints that typically occurs in such problems. In order to overcome this, successful implementations frequently make use of problem specific knowledge. This paper is concerned with the development of a GA for a nurse rostering problem at a major UK hospital. The structure of the constraints is used as the basis for a co-evolutionary strategy using co-operating sub-populations. Problem specific knowledge is also used to define a system of incentives and disincentives, and a complementary mutation operator. Empirical results based on 52 weeks of live data show how these features are able to improve an unsuccessful canonical GA to the point where it is able to provide a practical solution to the problem.
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Objective The Objective for this study was to explore women’s perceptions of and satisfaction with nursing care they received following stillbirth and neonatal death in villages around a community hospital in Lilongwe. Methods This qualitative, exploratory study through a mixture of purposive and snowball sampling, recruited 20 women who had lost a child through stillbirth or neonatal death in the past 2 years. Data were collected through semi-structured interviews in the privacy of the homes of the women. All interviews were tape-recorded and transcribed verbatim and were analyzed using thematic analysis. Results Almost half of the respondents expressed satisfaction with the way nurses cared for them after experiencing perinatal loss, although some felt unable to comment on the quality of care received. However, several bereaved women were dissatisfied with how nurses handled their loss. They noted nurses not providing attention or explanations and some even attributed the death of their child to nurses’ neglect. Conclusions Interventions are needed which foster awareness where nurses become more sensitive to the mothers’ emotional needs in an equally sensitive health care system. There is also need for more research into care provided following perinatal deaths in resource-poor settings to increase the evidence-base for informed and improved care for women who have experienced child loss.
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Background: The ageing population, with concomitant increase in chronic conditions, is increasing the presence of older people with complex needs in hospital. People with dementia are one of these complex populations and are particularly vulnerable to complications in hospital. Registered nurses can offer simultaneous assessment and intervention to prevent or mitigate hospital-acquired complications through their skilled brokerage between patient needs and hospital functions. A range of patient outcome measures that are sensitive to nursing care has been tested in nursing work environments across the world. However, none of these measures have focused on hospitalised older patients. Method: This thesis explores nursing-sensitive complications for older patients with and without dementia using an internationally recognised, risk-adjusted patient outcome approach. Specifically explored are: the differences between rates of complications; the costs of complications; and cost comparisons of patient complexity. A retrospective cohort study of an Australian state’s 2006–07 public hospital discharge data was utilised to identify patient episodes for people over age 50 (N=222,440) where dementia was identified as a primary or secondary diagnosis (N=44,422). Extra costs for patient episodes were estimated based on length of stay (LOS) above the average for each patient’s Diagnosis Related Group (DRG) (N=157,178) and were modelled using linear regression analysis to establish the strongest patient complexity predictors of cost. Results: Hospitalised patients with a primary or secondary diagnosis of dementia had higher rates of complications than did their same-age peers. The highest rates and relative risk for people with dementia were found in four key complications: urinary tract infections; pressure injuries; pneumonia, and delirium. While 21.9% of dementia patients (9,751/44,488, p<0.0001) suffered a complication, only 8.8% of non-dementia patients did so (33,501/381,788, p<0.0001), giving dementia patients a 2.5 relative risk of acquiring a complication (p<0.0001). These four key complications in patients over 50 both with and without dementia were associated with an eightfold increase in length of stay (813%, or 3.6 days/0.4 days) and double the increased estimated mean episode cost (199%, or A$16,403/ A$8,240). These four complications were associated with 24.7% of the estimated cost of additional days spent in hospital in 2006–07 in NSW (A$226million/A$914million). Dementia patients accounted for 22.0% of these costs (A$49million/A$226million) even though they were only 10.4% of the population (44,488/426,276 episodes). Hospital-acquired complications, particularly for people with a comorbidity of dementia, cost more than other kinds of inpatient complexity but admission severity was a better predictor of excess cost. Discussion: Four key complications occur more often in older patients with dementia and the high rate of these complications makes them expensive. These complications are potentially preventable. However, the care that can prevent them (such as mobility, hydration, nutrition and communication) is known to be rationed or left unfinished by nurses. Older hospitalised people who have complex needs, such as those with dementia, are more likely to experience care rationing as their care tends to take longer, be less predictable and less curative in nature. This thesis offers the theoretical proposition that evidence-based nursing practices are rationed for complex older patients and that this rationed care contributes to functional and cognitive decline during hospitalisation. This, in turn, contributes to the high rates of complications observed. Thus four key complications can be seen as a ‘Failure to Maintain’ complex older people in hospital. ‘Failure to Maintain’ is the inadequate delivery of essential functional and cognitive care for a complex older person in hospital resulting in a complication, and is recommended as a useful indicator for hospital quality. Conclusions: When examining extra length of stay in hospital, complications and comorbid dementia are costly. Complications are potentially preventable, and dementia care in hospitals can be improved. Hospitals and governments looking to decrease costs can engage in risk-reduction strategies for common nurse sensitive complications such as healthy nursing work environments that minimise nurses’ rationing of functional and cognitive care. The conceptualisation of complex older patients as ‘business as usual’ rather than a ‘burden’ is likely necessary for sustainable health care services of the future. The use of the ‘Failure to Maintain’ indicators at institution and state levels may aid in embedding this approach for complex older patients into health organisations. Ongoing investigation is warranted into the relationships between the largest health services expense (hospitals), the largest hospital population (complex older patients), and the largest hospital expense (nurses). The ‘Failure to Maintain’ quality indicator makes a useful and substantive contribution to further clinical, administrative and research developments.
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The concept of patient activation has gained traction as the term referring to patients who understand their role in the care process and have “the knowledge, skills and confidence” necessary to manage their illness over time (Hibbard & Mahoney, 2010). Improving health outcomes for vulnerable and underserved populations who bear a disproportionate burden of health disparities presents unique challenges for nurse practitioners who provide primary care in nurse-managed health centers. Evidence that activation improves patient self-management is prompting the search for theory-based self-management support interventions to activate patients for self-management, improve health outcomes, and sustain long-term gains. Yet, no previous studies investigated the relationship between Self-determination Theory (SDT; Deci & Ryan, 2000) and activation. The major purpose of this study, guided by the Triple Aim (Berwick, Nolan, & Whittington, 2008) and nested in the Chronic Care Model (Wagner et al., 2001), was to examine the degree to which two constructs– Autonomy Support and Autonomous Motivation– independently predicted Patient Activation, controlling for covariates. For this study, 130 nurse-managed health center patients completed an on-line 38-item survey onsite. The two independent measures were the 6-item Modified Health Care Climate Questionnaire (mHCCQ; Williams, McGregor, King, Nelson, & Glasgow, 2005; Cronbach’s alpha =0.89) and the 8-item adapted Treatment Self-Regulation Questionnaire (TSRQ; Williams, Freedman, & Deci, 1998; Cronbach’s alpha = 0.80). The Patient Activation Measure (PAM-13; Hibbard, Mahoney, Stock, & Tusler, 2005; Cronbach’s alpha = 0.89) was the dependent measure. Autonomy Support was the only significant predictor, explaining 19.1% of the variance in patient activation. Five of six autonomy support survey items regressed on activation were significant, illustrating autonomy supportive communication styles contributing to activation. These results suggest theory-based patient, provider, and system level interventions to enhance self-management in primary care and educational and professional development curricula. Future investigations should examine additional sources of autonomy support and different measurements of autonomous motivation to improve the predictive power of the model. Longitudinal analyses should be conducted to further understand the relationship between autonomy support and autonomous motivation with patient activation, based on the premise that patient activation will sustain behavior change.
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A Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurse’s assignment. Unlike our previous work that used GAs to implement implicit learning, the learning in the proposed algorithm is explicit, i.e. eventually, we will be able to identify and mix building blocks directly. The Bayesian optimization algorithm is applied to implement such explicit learning by building a Bayesian network of the joint distribution of solutions. The conditional probability of each variable in the network is computed according to an initial set of promising solutions. Subsequently, each new instance for each variable is generated by using the corresponding conditional probabilities, until all variables have been generated, i.e. in our case, a new rule string has been obtained. Another set of rule strings will be generated in this way, some of which will replace previous strings based on fitness selection. If stopping conditions are not met, the conditional probabilities for all nodes in the Bayesian network are updated again using the current set of promising rule strings. Computational results from 52 real data instances demonstrate the success of this approach. It is also suggested that the learning mechanism in the proposed approach might be suitable for other scheduling problems.
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Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA)for the nurse scheduling problem that chooses such suitable scheduling rules from a set for each nurse’s assignment. Based on the idea of using probabilistic models, the BOA builds a Bayesian network for the set of promising solutions and samples these networks to generate new candidate solutions. Computational results from 52 real data instances demonstrate the success of this approach. It is also suggested that the learning mechanism in the proposed algorithm may be suitable for other scheduling problems.
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info:eu-repo/semantics/publishedVersion
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info:eu-repo/semantics/publishedVersion
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The past few decades have seen major impacts of different pandemics and mass casualty events on health resource use in terms of rising health cost and increased mortality.
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Universidade Estadual de Campinas. Faculdade de Educação Física
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O PROFAE (Projeto de Profissionalização dos Trabalhadores da Área de Enfermagem) foi uma iniciativa importante na educação profissional. Os objetivos do estudo foram descrever o perfil dos egressos do curso de técnico de enfermagem dos centros de formação da Secretaria de Estado da Saúde de São Paulo e conhecer os reflexos do curso para a atuação na profissão e a mobilidade no mercado de trabalho. A coleta de dados foi realizada por meio de questionário respondido por 216 egressos e por quatro grupos focais com egressos e enfermeiros supervisores. Os respondentes foram, em sua maioria, mulheres com média de 42,2 anos. O curso foi bem avaliado, destacando-se o apoio institucional e as resoluções do Conselho Regional de Enfermagem (COREN) como impulsionadores da procura por ele. Os egressos percebem ter maior iniciativa e preparo teórico após o curso. Na área, a função mais exercida atualmente ainda é a de auxiliar de enfermagem, o que gera insatisfação, pois, especialmente nos serviços públicos, não existem cargos de técnicos.
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OBJETIVO: Avaliar condições de trabalho associadas à qualidade de vida relacionada à saúde entre profissionais de enfermagem. MÉTODOS: Estudo transversal realizado em um hospital universitário de São Paulo, SP, em 2004-2005. A população estudada foi de 696 enfermeiros, técnicos e auxiliares de enfermagem, predominantemente feminina (87,8 por cento) e que trabalhava em turnos diurnos e/ou noturnos. Os dados sociodemográficos, de condições de trabalho e de vida, hábitos de vida e sintomas de saúde auto-referidos foram obtidos por meio de questionários auto-aplicados: Resultados de Estudos de Saúde - versão reduzida, Escala de Estresse no Trabalho e Desequilíbrio Esforço-Recompensa. Valores do coeficiente 1,01 significam mais esforços do que recompensas no trabalho. Modelos de regressão logística ordinal de chances proporcionais foram ajustados para cada dimensão do SF-36. RESULTADOS: Aproximadamente 22 por cento da população foi classificada como trabalhando em condições de alto desgaste e 8 por cento com mais esforços do que recompensas no trabalho. As dimensões com piores escores médios no SF-36 foram vitalidade, dor e saúde mental. Alto desgaste no trabalho, ter mais esforços que recompensas e ser enfermeira associaram-se de maneira independente aos baixos escores da dimensão de aspectos emocionais. As dimensões relacionadas à saúde mental foram as que mais sofreram influência dos fatores psicossociais do trabalho. CONCLUSÕES: Apresentar mais esforços do que recompensas no trabalho foi mais significativo para a qualidade de vida associada à saúde do que o alto desgaste no trabalho (altas demandas e baixo controle). Os resultados indicam que a análise conjunta dos fatores psicossociais de desequilíbrio esforço-recompensa e demanda-controle contribuiu para a discussão sobre os papéis profissionais, condições de trabalho e qualidade de vida relacionada à saúde de profissionais de enfermagem
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Purpose To test the association between night work and work ability, and verify whether the type of contractual employment has any inXuence over this association. Methods Permanent workers (N = 642) and workers with precarious jobs (temporary contract or outsourced; N = 552) were interviewed and Wlled out questionnaires concerning work hours and work ability index. They were classiWed into: never worked at night, ex-night workers, currently working up to Wve nights, and currently working at least six nights/2-week span. Results After adjusting for socio-demography and work variables, current night work was signiWcantly associated with inadequate WAI (vs. day work with no experience in night work) only for precarious workers (OR 2.00, CI 1.01- 3.95 and OR 1.85, CI 1.09-3.13 for those working up to Wve nights and those working at least six nights in 2 weeks, respectively). Conclusions Unequal opportunities at work and little experience in night work among precarious workers may explain their higher susceptibility to night work