121 research outputs found

    Microcosting in Economic Evaluations

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    Microcosting in Economic Evaluations

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    Microcosting in economic evaluations: Issues of accuracy, feasibility, consistency and generalisability

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    Omdat de diversiteit aan medische behandelingen in de afgelopen decennia enorm is gegroeid, staan de zorgbudgetten in Westerse landen voortdurend onder druk. De beslissing om bronnen voor een doeleinde aan te wenden in plaats van aan een ander doeleinde moet dus gestruktureerd worden afwogen. Deze afweging wordt doorgaans gemaakt met behulp van economische evaluaties die zowel de kosten als effecten van alternatieve medische behandelingen schatten. Hoewel de effecten van medische behandelingen minstens zo belangrijk zijn, stonden in mijn proefschrift de kosten centraal. De doelstelling was de kosten van specifieke medische behandelingen te schatten en algemene methodologische conclusies te trekken wat betreft de toepassing van drie kostenmethoden. De methoden werden toegepast in een verscheidenheid aan medische specialismen, waaronder oncologie, hematologie, intensive care medicine, tandheelkunde, huisartsgeneeskunde, cardiologie en neurochirurgie. Er bestaat nog geen consensus over de methode van voorkeur voor de kostenschatting van behandelingen. De ‘bottom up microcosting’ methode wordt over het algemeen verondersteld de meest nauwkeurige kostenschatting te geven, omdat kosten worden berekend per individuele patiënt en per individuele kostencomponent. De methode wordt echter niet op grote schaal toegepast omdat zij vanwege haar tijdsintensieve karakter nauwelijks haalbaar is. Omgekeerd wordt de ‘gross costi

    Cost-consequence analysis of remifentanil-based analgo-sedation vs. conventional analgesia and sedation for patients on mechanical ventilation in the Netherlands

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    Introduction: Hospitals are increasingly forced to consider the economics of technology use. We estimated the incremental cost-consequences of remifentanil-based analgo-sedation (RS) vs. conventional analgesia and sedation (CS) in patients requiring mechanical ventilation (MV) in the intensive care unit (ICU), using a modelling approach. Methods: A Markov model was developed to describe patient flow in the ICU. The hourly probabilities to move from one state to another were derived from UltiSAFE, a Dutch clinical study involving ICU patients with an expected MV-time of 2-3 days requiring analgesia and sedation. Study medication was either: CS (morphine or fentanyl combined with propofol, midazolam or lorazepam) or: RS (remifentanil, combined with propofol when required). Study drug costs were derived from the trial, whereas all other ICU costs were estimated separately in a Dutch micro-costing study. All costs were measured from the hospital perspective (price level of 2006). Patients were followed in the model for 28 days. We also studied the sub-population where weaning had started within 72 hours. Results: The average total 28-day costs were 15,626 euros with RS versus 17,100 euros with CS, meaning a difference in costs of 1474 euros (95% CI -2163, 5110). The average length-of-stay (LOS) in the ICU was 7.6 days in the RS group versus 8.5 days in the CS group (difference 1.0, 95% CI -0.7, 2.6), while the average MV time was 5.0 days for RS versus 6.0 days for CS. Similar differences were found in the subgroup analysis. Conclusions: Compared to CS, RS significantly decreases the overall costs in the ICU

    A noticeable difference? Productivity costs related to paid and unpaid work in economic evaluations on expensive drugs

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    Productivity costs can strongly impact cost-effectiveness outcomes. This study investigated the impact in the context of expensive hospital drugs. This study aimed to: (1) investigate the effect of productivity costs on cost-effectiveness outcomes, (2) determine whether economic evaluations of expensive drugs commonly include productivity costs related to paid and unpaid work, and (3) explore potential reasons for excluding productivity costs from the economic evaluation. We conducted a systematic literature review to identify economic evaluation

    A microcosting study of the surgical correction of upper extremity deformity in children with spastic cerebral palsy

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    _Objective:_ Determine healthcare costs of upper-extremity surgical correction in children with spastic cerebral palsy (CP). _Method:_ This cohort study included 39 children with spastic CP who had surgery for their upper extremity at a Dutch hospital. A retrospective cost analysis was performed including both hospital and rehabilitation costs. Hospital costs were determined using microcosting methodology. Rehabilitation costs were estimated using reference prices. _Results:_ Hospital costs averaged €6813 per child. Labor (50%), overheads (29%), and medical aids (15%) were important cost drivers. Rehabilitation costs were estimated at €3599 per child. _Conclusions:_ Surgery of the upper extremity is an important contributor to the healthcare costs of children with CP. Our study shows that labor is the most important cost driver for hospital costs, owing to the multidisciplinary approach and patient-specific treatment plan. A remarkable finding was the substantial amount of rehabilitation costs

    Factors associated with falls among hospitalized and community-dwelling older adults:the APPCARE study

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    Background: Falls are a leading cause of disability. Previous studies have identified various risk factors for falls. However, contemporary novel research is needed to explore these and other factors associated with falls among a diverse older adult population. This study aims to identify the factors associated with falls among hospitalized and community-dwelling older adults. Methods: Cross-sectional data from the ‘Appropriate care paths for frail elderly people: a comprehensive model’ (APPCARE) study were analyzed. The study sample consisted of hospitalized and community-dwelling older adults. Falling was assessed by asking whether the participant had fallen within the last 12 months. Multivariable logistic regression models were used to evaluate associations between socio-demographic characteristics, potential fall risk factors and falls. Results: The sample included 113 hospitalized (mean age = 84.2 years; 58% female) and 777 community-dwelling (mean age = 77.8 years; 49% female) older adults. Among hospitalized older adults, loneliness was associated with an increased risk of falls. Associations between female sex, secondary education lever or lower, multimorbidity, a higher score on limitations with activities of daily living (ADL), high risk of malnutrition and falling were found among community-dwelling participants. Conclusion: The results of this study confirm the multi-factorial nature of falling and the complex interaction of risk factors. Future fall prevention programs could be tailored to the needs of vulnerable subpopulations at high risk for falls.</p
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