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Objectives In the Netherlands, all women are claimed to have equal access to prenatal screening (PS). Prior research demonstrated substantial inequalities in PS uptake associated with socioeconomic status (SES) and ethnic background. The suggested pathway was a lack of intention to participate in PS among these subgroups. We studied the background of inequalities in PS participation, challenging intention heterogeneity as the single explanation. Methods Multivariable logistic regression analyses of the national PS registry, focusing on the four largest cities in the Netherlands (n= 4578, years 2011-2013), stratified by SES. Outcome measures: 1.Any uptake of PS (yes/no) and 2. Uptake (one/two tests) for women who intended to participate in two tests. Determinants included intention, ethnicity, practice and age. Results Of non-Western women 85.7% were screened versus 89.7% of Western women. Intention was an important explanatory factor in all models. However, after correction for intention, ethnicity remained a significant determinant for differences in uptake. Ethnicity and SES also interacted, indicating that non-Western women in low SES areas had the lowest uptake (corrected for intention). Conclusions for Practice SES and ethnicity related inequalities in PS uptake are only partially explained by intention heterogeneity; other pathways, in particular provider-related determinants, may play a role.

BACKGROUND: Between the 1990s and 2000s, relative inequalities in all-cause mortality increased, whereas absolute inequalities decreased in many European countries. Whether similar trends can be observed for inequalities in other health outcomes is unknown. This paper aims to provide a comprehensive overview of trends in socioeconomic inequalities in self-assessed health (SAH) in Europe between 1990 and 2010.METHODS: Data were obtained from nationally representative surveys from 17 European countries for the various years between 1990 and 2010. The age-standardised prevalence of less-than-good SAH was analysed by education and occupation among men and women aged 30-79 years. Socioeconomic inequalities were measured by means of absolute rate differences and relative rate ratios. Meta-analysis with random-effects models was used to examine the trends of inequalities.RESULTS: We observed declining trends in the prevalence of less-than-good SAH in many countries, particularly in Southern and Eastern Europe and the Baltic states. In all countries, less-than-good SAH was more prevalent in lower educational and manual groups. For all countries together, absolute inequalities in SAH were mostly constant, whereas relative inequalities increased. Almost no country consistently experienced a significant decline in either absolute or relative inequalities.CONCLUSIONS: Trends in inequalities in SAH in Europe were generally less favourable than those found for inequalities in mortality, and there was generally no correspondence between the two when we compared the trends within countries. In order to develop policies or interventions that effectively reduce inequalities in SAH, a better understanding of the causes of these inequalities is needed.

Background and Objectives Esophageal adenocarcinoma (EAC) incidence increases, maybe due to increasing prevalences of obesity and diabetes. Concurrent hyperinsulinemia might promote carcinogenesis via the insulin-like growth factor-I receptor (IGF-1R). Expression of the IGF-1R was studied in correlation with diabetes and prognostic parameters. Methods Patients with EAC undergoing esophagectomy were prospectively selected. From resected tumors a tissue microarray was constructed. Immunohistochemistry evaluated IGF-1R-expression. Logistic-, cox regression models and survival analyses assessed if diabetes and IGF-1R-expression were associated with prognostic parameters. IGF-1R-expression in normal and Barrett tissues was studied. Results Absence or low IGF-1R-expression was associated with T3-, grade 3 tumors and R1 resections (P = 0.001, P = 0.025, P

Bland and Altman have developed a measure called “limits of agreement” to assess correspondence of two methods of clinical measurement. In many circumstances, comparisons are made using several paired measurements in each individual subject. If such measurements are considered as statistically independent pairs, rather than as sets of measurements from separate individuals, limits of agreement will be too narrow. In addition, the confidence intervals for these limits will also be too narrow. Suitable software to compute valid limits of agreement and their confidence intervals is not readily available. Therefore, we set out to provide a freely available implementation accompanied by a formal description of the more advanced Bland–Altman comparison methods. We validate the implementation using simulated data, and demonstrate the effects caused by failing to take the presence of multiple paired measurements per individual properly into account. We propose a standard format of reporting that would improve analysis and interpretation of comparison studies.

Purpose The Adult Strabismus Quality of Life Questionnaire (AS-20) and the Amblyopia & Strabismus Questionnaire (A&SQ) both measure health-related quality of life in strabismus patients. We evaluated to what extent these instruments cover similar domains by identifying the underlying quality-of-life factors of the combined questionnaires. Methods Participants were adults from a historic cohort with available orthoptic childhood data documenting strabismus and/or amblyopia. They had previously completed the A&SQ and were now asked to complete the AS-20. Factor analysis was performed on the correlation-matrix of the combined AS-20 and A&SQ data to identify common underlying factors. The identified factors were correlated with the clinical variables of angle of strabismus, degree of binocular vision, and visual acuity of the worse eye. Results One hundred ten patients completed both questionnaires (mean age, 44 years; range, 38–51 years). Six factors were found that together explained 78% of the total variance. The factor structure was dominated by the first four factors. One factor contained psychosocial and social-contact items, and another factor depth-perception items from both questionnaires. A third factor contained seven items—only from the AS-20—on eye strain, stress, and difficulties with reading and with concentrating. A fourth factor contained seven items—only from the A&SQ—on fear of losing the better eye and visual disorientation, specific for amblyopia. Current visual acuity of the worse eye correlated with depth-perception items and vision-related items, whereas current binocular vision correlated with psychosocial and social-contact items, in 93 patients. Conclusions Factor analysis suggests that the AS-20 and A&SQ measure a similar psychosocial quality-of-life domain. However, functional problems like avoidance of reading, difficulty in concentrating, eye stress, reading problems, inability to enjoy hobbies, and need for frequent breaks when reading are represented only in the AS-20. During the development of the A&SQ, asthenopia items were considered insufficiently specific for strabismus and were excluded a priori. The patients who generated the items for the AS-20 had, in majority, adulthood-onset strabismus and diplopia and were, hence, more likely to develop such complaints than our adult patients with childhood-onset strabismus and/or amblyopia.

OBJECTIVES: This study assesses quality of life in relation to prosthetic aortic valve selection and preferences for shared decision-making among non-elderly adult patients after aortic valve replacement (AVR). METHODS: A single-centre consecutive cohort of 497 AVR patients who underwent AVR between the age of 18 and 60 years was cross-sectionally surveyed 1-10 years after AVR. Health-related quality of life (Short-Form Health Survey, SF-36), valve-specific quality of life, patient experience with and preferences for involvement and final decision in prosthetic valve selection were investigated. RESULTS: Two-hundred and forty patients (48%) responded. The median age was 57 years (range 26-70). Compared with the general age-matched Dutch population, AVR patients reported worse physical health, but better mental health. Biological valve recipients reported lower general health than mechanical valve recipients. Mechanical valve recipients had more doubts about the decision to undergo surgery, were more bothered by valve sound, the frequency of doctor visits and blood tests, and possible bleeding, but were less afraid of a possible reoperation. Eighty-nine percent were of the opinion that it is important to be involved in prosthetic valve selection, whereas 64% agreed that they actually had been involved. A better patient experience with involvement in prosthetic valve selection was associated with better mental health (P = 0.036). CONCLUSIONS: Given the observed suboptimal patient involvement in prosthetic valve selection, the broad patient support for shared decision-making, and the positive association between patient involvement in prosthetic valve selection and mental health, tools to support shared decision-making would be useful in the setting of heart valve replacement.

textabstractBackground All women in the Netherlands should have equal access to obstetric care. However, utilization of care is shaped by demand and supply factors. Demand is increased in high risk groups (non-Western women, low socio-economic status (SES)), and supply is influenced by availability of hospital facilities (hospital density). To explore the dynamics of obstetric care utilization we investigated the joint association of hospital density and individual characteristics with prototype obstetric interventions. Methods A logistic multi-level model was fitted on retrospective data from the Netherlands Perinatal Registry (years 2000-2008, 1.532.441 singleton pregnancies). In this analysis, the first level comprised individual maternal characteristics, the second of neighbourhood SES and hospital density. The four outcome variables were: referral during pregnancy, elective caesarean section (term and post-term breech pregnancies), induction of labour (term and post-term pregnancies), and birth setting in assumed low-risk pregnancies. Results Higher hospital density is not associated with more obstetric interventions. Adjusted for maternal characteristics and hospital density, living in low SES neighbourhoods, and non- Western ethnicity were generally associated with a lower probability of interventions. For example, non-Western women had considerably lower odds for induction of labour in all geographical areas, with strongest effects in the more rural areas (non-Western women: OR 0.78, 95% CI 0.77-0.80, p

Background: In a national perinatal health programme, we observed striking heterogeneity in the explanation of the most prominent risks across municipalities. Therefore we explored the separate contribution of several socio-demographic risks on perinatal health inequalities between municipalities and neighbourhoods. The study aims to identify perinatal health inequalities on the neighbourhood level across the selected municipalities, and to objectify the contribution of socio-demographic risk factors on pregnancy outcomes in each municipality by the application of the population attributable risk concept. Methods: Population based cohort study (2000–2008). Perinatal outcomes of 352,407 single pregnancies from 15 municipalities were analysed. Odds ratios and population attributable risks were calculated. Main outcomes were combined perinatal morbidity (small-for-gestational age, preterm birth, congenital anomalies, and low Apgar score), and perinatal mortality. Results: Perinatal health inequalities existed on both the municipal and the neighbourhood level. In municipalities, combined perinatal morbidity ranged from 17.3 to 23.6 %, and perinatal mortality ranges from 10.1 to 15.4 ‰. Considerable differences in low socio-economic status between municipalities were apparent, with prevalences ranging from 14.4 to 82.5 %. In seven municipalities, significant differences between neighbourhoods existed for perinatal morbidity (adjusted OR ranging from 1.33 to 2.38) and for perinatal mortality (adjusted OR ranging from 2.06 to 5.59). For some municipalities, socio-demographic risk factors were s a strong predictor for the observed inequalities, but in other municipalities these factors were very weak predictors. If all socio-demographic determinants were set to the most favourable value in a predictive model, combined perinatal morbidity would decrease with 15 to 39 % in these municipalities. Conclusions: Substantial differences in perinatal morbidity and mortality between municipalities and neighbourhoods exist. Different patterns of inequality suggest differences in etiology. Policy makers and healthcare professionals need to be informed about their local perinatal health profiles in order to introduce antenatal healthcare tailored to the individual and neighbourhood environment.