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Quality adjusted life years are used in cost-effectiveness analyses (CEAs). To calculate QALYs, a 'utility' (0-1) is used for each health state induced or prevented by the intervention. We aimed to estimate the impact of quality-of-life (QoL) assumptions (utilities and durations of health states) on CEAs of cervical cancer screening. To do so, twelve alternative sets of utility assumptions were retrieved from published cervical cancer screening CEAs. Two additional sets were based on empirical QoL data that were integrally obtained through two different measures (SF-6D and EQ-5D) from eight groups of women (total n= 3,087), from invitation for screening to diagnosis with cervical cancer. Per utility set we calculated the number of quality-adjusted days lost (QADL) for each relevant health state in cervical cancer screening, by multiplying the study-specific assumed disutilities (i.e. 1-utility) with study-specific durations of the loss in QoL, resulting in 14 'QADL-sets'. With microsimulation model MISCAN we calculated cost-effectiveness of 342 alternative screening programs (varying in primary screening test [Human Papillomavirus (HPV) versus cytology], starting ages, and screening interval) for each of the 14 QADL-sets. Utilities used in CEAs appeared to differ largely. We found that ten QADL-sets from the literature resulted in HPV and two in cytology as preferred primary test. The SF-6D empirical QADL-set resulted in cytology and the EQ-5D one in HPV as preferred primary test. In conclusion, assumed utilities and health state durations determine cost-effectiveness of cervical cancer screening. Also, the measure used to empirically assess utilities can be crucial for CEA conclusions. This article is protected by copyright. All rights reserved

We are living longer, but are these additional years spent in good health? Life expectancy in western countries has increased continuously over recent years. The issue at stake is if this rise includes healthy years. The answer depends on the health indicator used, e.g., perceived health, disability, or cognitive impairment. A study by Jagger et al. (2016) provides evidence for an increase in life expectancy without cognitive impairment and an absolute compression of cognitive impairment between 1991 and 2011. Information on life expectancy without cognitive impairment is not yet available for the Netherlands. Similar to England, Dutch trends in life expectancy in excellent or good self-perceived health and in life expectancy without severe disability are favourable, although less pronouncedly so. Dutch and English data suggest that the additional years lived by the population are at least partly spent in good health. Conflict of interest and financial support: ICMJE forms provided by the authors are available online along with the full text of this article.

We are living longer, but are these additional years spent in good health?Life expectancy in western countries has increased continuously over recent years. The issue at stake is if this rise includes healthy years. The answer depends on the health indicator used, e.g., perceived health, disability, or cognitive impairment. A study by Jagger et al. (2016) provides evidence for an increase in life expectancy without cognitive impairment and an absolute compression of cognitive impairment between 1991 and 2011. Information on life expectancy without cognitive impairment is not yet available for the Netherlands. Similar to England, Dutch trends in life expectancy in excellent or good self-perceived health and in life expectancy without severe disability are favourable, although less pronouncedly so. Dutch and English data suggest that the additional years lived by the population are at least partly spent in good health.Conflict of interest and financial support: ICMJE forms provided by the authors are available online along with the full text of this article.

Self-reported data show differences in social outcomes (not being married/having a registered partnership; not living independently; using social benefits) for childhood cancer survivors compared with their peers. We aimed to determine differences in these social outcomes between survivors and the general population using national register data and explored associated risk factors. We performed medical record linkage between a single-centre cohort of 1768 ≥ 5-year survivors of childhood cancer (diagnosed 1966-2001) and two national registers (1999-2011) and obtained a random reference sample matched on gender and year of birth per survivor. We used multivariable logistic regression to calculate in adult survivors of childhood cancer (born before 1990) the odds of the specified social outcomes at the end of follow-up in both groups. Within the survivors, we analysed risk factors for the social outcomes. We retrieved data from 1283 adult childhood cancer survivors and 25 082 reference persons. Survivors had higher odds (odds ratio; 95% confidence interval) of not being married (1.2; 1.07-1.42), not living independently (1.7; 1.41-2.00) and using social benefits (2.3; 1.98-2.69) compared with reference persons. Radiotherapy to head and/or neck, and an original central nervous system tumour diagnosis negatively influenced all social outcomes examined in childhood cancer survivors. National register data show differences between social outcomes in childhood cancer survivors and the general population, especially for survivors treated with radiotherapy to head and/or neck and those originally diagnosed with central nervous system tumours. Development and implementation of effective targeted support strategies to improve social outcomes of childhood cancer survivors needs consideration. Copyright © 2015 John Wiley & Sons, Ltd

The progress in workforce planning in preventive youth health care (YHC) is hampered by a lack of data on the current workforce. This study aimed to enumerate the Dutch YHC workforce. To understand regional variations in workforce capacity we compared these with the workforce capacity and the number of children and indicators of YHC need per region. Methods A national survey was conducted using online questionnaires based on WHO essential public health operations among all YHC workers. Respondents (n=3220) were recruited through organisations involved in YHC (participation: 88%). Results The YHC workforce is multidisciplinary, 62% had > 10 years working experience within YHC and only small regional variations in composition existed. The number of children per YHC professional varied between regions (range: 688-1007). All essential public health operations were provided. Regional differences in the number of children per YHC professional were unrelated to the indicators of YHC need. Conclusion The essential public health operations provided by the YHC workforce and the regional variations in children per YHC professional were not in line with indicators of YHC needs, indicating room for improvement of YHC workforce planning. The methodology applied in this study is probably relevant for use in other countries Conflict of interest and financial support: none declared./Conflict of interest and financial support: ICMJE forms provided by the authors are available online along with the full text of this article.

Relatives of ethnic minority patients often play an important role in the care process during hospitalisation. Our objective was to analyse the role of these relatives in relation to the safety of patients during hospital care. Four large urban hospitals with an ethnic diverse patient population. On hospital admission of ethnic minority patients, 20 cases were purposively sampled in which relatives were observed to play a role in the care process. We used documents (patient records) and added eight cases with qualitative interviews with healthcare providers, patients and/or their relatives to investigate the relation between the role of relatives and patient safety. An inductive approach followed by selective coding was used to analyse the data. Besides giving social support, family members took on themselves the role of the interpreter, the role of substitutes of the patient and the role of care provider. The taking over of these roles can have positive and negative effects on patient safety. When family members take over various roles during hospitalisation of a relative, this can lead to a safety risk and a safety protection for the patient involved. Although healthcare providers should not hand over their responsibilities to the relatives of patients, optimising collaboration with relatives who are willing to take part in the care process may improve patient safety