Do women living in a deprived neighborhood have higher maternity care costs and worse pregnancy outcomes? A retrospective population-based study

BACKGROUND

Living in a deprived neighborhood is associated with poorer health, due to factors such as lower socio-economic status and an adverse lifestyle. There is little insight into whether living in deprived neighborhood is associated with adverse maternity care outcomes and maternity health care costs. We expect women in a deprived neighborhood to experience a more complicated pregnancy, with more secondary obstetric care (as opposed to primary midwifery care) and higher maternity care costs. This study aimed to answer the following research question: to what extent are moment of referral from primary to secondary care, mode of delivery, (extreme or very) preterm delivery and maternity care costs associated with neighborhood deprivation?

METHODS

This retrospective cohort study used a national Dutch database with healthcare claims processed by health insurers. All pregnancies that started in 2018 were included. The moment of referral from primary to secondary care, mode of delivery, (extreme or very) preterm delivery and maternity care costs were compared between women in deprived and non-deprived neighborhoods. We reported descriptive statistics, and results of ordinal logistic, multinomial and linear regressions to assess whether differences between the two groups exist.

RESULTS

Women in deprived neighborhoods had higher odds of being referred from primary to secondary care during pregnancy (adjusted OR 1.49, 95%CI 1.41-1.57) and to start their pregnancy in secondary care (adjusted OR 1.55, 95%CI 1.44-1.66). Furthermore, women in deprived neighborhoods had lower odds of assisted delivery than women in non-deprived neighborhoods (adjusted OR 0.73, 95%CI 0.66-0.80), and they had higher odds of a cesarean section (adjusted OR 1.19, 95%CI 1.13-1.25). On average, women in a deprived neighborhood had higher maternity care costs worth 156 euros (95%CI 104-208).

CONCLUSION

This study showed that living in a deprived neighborhood is associated with more intensive maternal care and higher maternal care costs in the Netherlands. These findings support the needs for greater attention to socio-economic factors in maternity care in the Netherlands.

Practice variation in the stepped care approach to idiopathic heavy menstrual bleeding: A population-based study

INTRODUCTION

Heavy menstrual bleeding (HMB) affects a quarter of all women, with half having no structural cause. Dutch guidelines recommend a stepped care approach to the management of such idiopathic HMB, starting with medication or a levonorgestrel-releasing intrauterine device (LNG-IUD), before progressing to endometrial ablation, and ultimately, hysterectomy. However, practice variation between hospitals could lead to suboptimal health outcomes and increased healthcare costs for some women.

OBJECTIVES

To evaluate adherence to stepped care for women with idiopathic HMB and to identify practice variation among Dutch hospitals.

STUDY DESIGN

This population-based cross-sectional study used Dutch insurance claims data from primary and secondary care for all women with idiopathic HMB referred to a gynecologist between January 2019 and December 2020. We calculated the average number of treatments in the 3 years before each treatment step at each hospital, making adjustments for age, socioeconomic status, and ethnicity. Variation in medical practice was measured by the coefficient of variation (CV).

RESULTS

We studied 20,715 women treated with LNG-IUDs (56%), endometrial ablation (36%), laparoscopic hysterectomy (13%), or vaginal hysterectomy (4%) in 93 hospitals. Before endometrial ablation, on average 47% used medication (hospital range 27%-71%; CV 0.17) and 16% used an LNG-IUD (hospital range 8%-29%, CV 0.32). Before hysterectomy, 52% (hospital range 28%-65%, CV 0.16) used medication, 21% (hospital range 6%-38%, CV 0.35) used an LNG-IUD, and 23% underwent endometrial ablation (hospital range 0%-59%, CV 0.55). On average, women underwent 0.63 (hospital range 0.36-1.00, adjusted rate 0.40-0.98, CV 0.17) and 0.96 (hospital range 0.56-1.45, adjusted rate 0.56-1.44, CV 0.18) treatments before endometrial ablation and hysterectomy, respectively.

CONCLUSIONS

Considerable practice variation exists among Dutch hospitals in the stepped care approach to idiopathic HMB. Improving adherence to this approach could improve quality of care and reduce costs.

Do patients' preferences prevail in hospital selection?: a comparison between discrete choice experiments and revealed hospital choice

Background

In patient choice, patients are expected to select the provider that best fits their preferences. In this study, we assess to what extent the hospital choice of patients in practice corresponds with their preferred choice.

Methods

Dutch patients with breast cancer (n = 631) and cataract (n = 1109) were recruited. We employed a discrete choice experiment (DCE) per condition to measure stated preferences and predict the distribution of patients across four hospitals. Each DCE included five attributes: patient experiences, a clinical outcome indicator, waiting time, travel distance and whether the hospital had been recommended (e.g., by the General Practitioner (GP)). Revealed choices were derived from claims data.

Results

Hospital quality was valued as most important in the DCE; the largest marginal rates of substitution (willingness to wait) were observed for the clinical outcome indicator (breast cancer: 38.6 days (95% confidence interval (95%CI): 32.9–44.2); cataract: 210.5 days (95%CI: 140.8–280.2)). In practice, it was of lesser importance. In revealed choices, travel distance became the most important attribute; it accounted for 85.5% (breast cancer) and 95.5% (cataract) of the log-likelihood. The predicted distribution of patients differed from that observed in practice in terms of absolute value and, for breast cancer, also in relative order. Similar results were observed in population weighted analyses.

Discussion

Study findings show that patients highly valued quality information in the choice for a hospital. However, in practice these preferences did not prevail. Our findings suggest that GPs played a major role and that patients mostly ended up selecting the nearest hospital.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08403-6.

How important is income in explaining individuals having forgone healthcare due to cost-sharing payments? Results from a mixed methods sequential explanatory study

Background

Patients having forgone healthcare because of the costs involved has become more prevalent in recent years. Certain patient characteristics, such as income, are known to be associated with a stronger demand-response to cost-sharing. In this study, we first assess the relative importance of patient characteristics with regard to having forgone healthcare due to cost-sharing payments, and then employ qualitative methods in order to understand these findings better.

Methods

Survey data was collected from a Dutch panel of regular users of healthcare. Logistic regression models and dominance analyses were performed to assess the relative importance of patient characteristics, i.e., personal characteristics, health, educational level, sense of mastery and financial situation. Semi-structured interviews (n = 5) were conducted with those who had forgone healthcare. The verbatim transcribed interviews were thematically analyzed.

Results

Of the 7,339 respondents who completed the questionnaire, 1,048 respondents (14.3%) had forgone healthcare because of the deductible requirement. The regression model indicated that having a higher income reduced the odds of having forgone recommended healthcare due to the deductible (odds ratios of higher income categories relative to the lowest income category (reference): 0.29–0.49). However, dominance analyses revealed that financial leeway was more important than income: financial leeway contributed the most (34.8%) to the model’s overall McFadden’s pseudo-R2 (i.e., 0.123), followed by income (25.6%). Similar results were observed in stratified models and in population weighted models. Qualitative analyses distinguished four main themes that affected the patient’s decision whether to use healthcare: financial barriers, structural barriers related to the complex design of cost-sharing programs, individual considerations of the patient, and the perceived lack of control regarding treatment choices within a given treatment trajectory. Furthermore, “having forgone healthcare” seemed to have a negative connotation.

Conclusion

Our findings show that financial leeway is more important than income with respect to having forgone recommended healthcare due to cost-sharing payments, and that other factors such as the perceived necessity of healthcare also matter. Our findings imply that solely adapting cost-sharing programs to income levels will only get one so far. Our study underlines the need for a broader perspective in the design of cost-sharing programs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07527-z.

On the correlation between outcome indicators and the structure and process indicators used to proxy them in public health care reporting

Hospital quality indicators provide valuable insights for quality improvement, empower patients to choose providers, and have become a cornerstone of value-based payment. As outcome indicators are cumbersome and expensive to measure, many health systems have relied on proxy indicators, such as structure and process indicators. In this paper, we assess the extent to which publicly reported structure and process indicators are correlated with outcome indicators, to determine if these provide useful signals to inform the public about the outcomes. Quality indicators for three conditions (breast and colorectal cancer, and hip replacement surgery) for Dutch hospitals (2011-2018) were collected. Structure and process indicators were compared to condition-specific outcome indicators and in-hospital mortality ratios in a between-hospital comparison (cross-sectional and between-effects models) and in within-hospital comparison (fixed-effects models). Systematic association could not be observed for any of the models. Both positive and negative signs were observed where negative associations were to be expected. Despite sufficient statistical power, the share of significant correlations was small [mean share: 13.2% (cross-sectional); 26.3% (between-effects); 13.2% (fixed-effects)]. These findings persisted in stratified analyses by type of hospital and in models using a multivariate approach. We conclude that, in the context of compulsory public reporting, structure and process indicators are not correlated with outcome indicators, neither in between-hospital comparisons nor in within-hospital comparisons. While structure and process indicators remain valuable for internal quality improvement, they are unsuitable as signals for informing the public about hospital differences in health outcomes.

On selecting quality indicators: preferences of patients with breast and colon cancers regarding hospital quality indicators

Background

There is an increasing number of quality indicators being reported publicly with aim to improve the transparency on hospital care quality. However, they are little used by patients. Knowledge on patients’ preferences regarding quality may help to optimise the information presented to them.

Objective

To measure the preferences of patients with breast and colon cancers regarding publicly reported quality indicators of Dutch hospital care.

Methods

From the existing set of clinical quality indicators, participants of patient group discussions first assessed an indicator’s suitability as choice information and then identified the most relevant ones. We used the final selection as attributes in two discrete choice experiments (DCEs). Questionnaires included choice vignettes as well as a direct ranking exercise, and were distributed among patient communities. Data were analysed using mixed logit models.

Results

Based on the patient group discussions, 6 of 52 indicators (breast cancer) and 5 of 21 indicators (colon cancer) were selected as attributes. The questionnaire was completed by 84 (breast cancer) and 145 respondents (colon cancer). In the patient group discussions and in the DCEs, respondents valued outcome indicators as most important: those reflecting tumour residual (breast cancer) and failure to rescue (colon cancer). Probability analyses revealed a larger range in percentage change of choice probabilities for breast cancer (10.9%–69.9%) relative to colon cancer (7.9%–20.9%). Subgroup analyses showed few differences in preferences across ages and educational levels. DCE findings partly matched with those of direct ranking.

Conclusion

Study findings show that patients focused on a subset of indicators when making their choice of hospital and that they valued outcome indicators the most. In addition, patients with breast cancer were more responsive to quality information than patients with colon cancer.

The effect of cost-sharing design characteristics on use of health care recommended by the treating physician; a discrete choice experiment

BACKGROUND

Cost-sharing programs are often too complex to be easily understood by the average insured individual. Consequently, it is often difficult to determine the amount of expenses in advance. This may preclude well-informed decisions of insured individuals to adhere to medical treatment advised by the treating physician. Preliminary research has showed that the uncertainty in these cost-sharing payments are affected by four design characteristics, i.e. 1) type of payments (copayments, coinsurances or deductibles), 2) rate of payments, 3) annual caps on cost-sharing and 4) moment that these payments must be made (directly at point of care or billed afterwards by the insurer).

METHODS

An online discrete choice experiment was used to assess the extent to which design characteristics of cost-sharing programs affect the decision of individuals to adhere to recommended care (prescribed medications, ordered diagnostic tests and referrals to medical specialist care). Analyses were performed using mixed multinomial logits.

RESULTS

The questionnaire was completed by 7921 members of a patient organization. Analyses showed that 1) cost-sharing programs that offer clear information in advance on actual expenses that are billed afterwards, stimulate adherence to care recommended by the treating physician; 2) the relative importance of the design characteristics differed between respondents who reported to have forgone health care due to cost-sharing and those who did not; 3) price-awareness among respondents was limited; 4) the utility derived from attributes and respondents' characteristics were positively correlated; 5) an optimized cost-sharing program revealed an adherence of more than 72.9% among those who reported to have forgone health care.

CONCLUSIONS

The analyses revealed that less complex cost-sharing programs stimulate adherence to recommended care. If these programs are redesigned accordingly, individuals who had reported to have forgone a health service recommended by their treating physician due to cost-sharing, would be more likely to use this service. Such redesigned programs provide a policy option to reduce adverse health effects of cost-sharing in these groups. Considering the upcoming shift from volume-based to value-based health care provision, insights into the characteristics of a cost-sharing program that stimulates the use of recommended care may help to design value-based insurance plans.

Early life undernutrition and adult height: The Dutch famine of 1944-45

Current research shows strong associations between adult height and several positive outcomes such as higher cognitive skills, better earning capacity, increased chance of marriage and better health. It is therefore relevant to investigate the determinants of adult height. There is mixed evidence on the effects of undernutrition during early life on adult height. Therefore, our study aims at assessing the impact of undernutrition during gestation and at ages younger than 15 on adult height. We used data from the Longitudinal Aging Study Amsterdam. Exposure to undernutrition was determined by place of residence during the Dutch famine during World War II. Included respondents were born between 15 May 1930 and 1 November 1945 and lived in the northern part of the Netherlands during the famine period (n=1008). Exposure data was collected using interviews and questionnaires and adult height was measured. Exposed and non-exposed respondents were classified in the age categories pregnancy- age 1 (n=85), age 1-5 (n=323), age 6-10 (n=326) or puberty (age 11-15, n=274). Linear regression analyses were used to test the associations of adult height with exposure. The robustness of the regression results was tested with sensitivity analyses. In the models adjusted for covariates (i.e., number of siblings, education level of parents, and year of birth) and stratified by gender, adult height was significantly shorter for females exposed at ages younger than 1 (-4.45cm [-7.44--1.47]) or at ages younger than 2 (-4.08cm [-7.20--0.94]). The results for males were only borderline significant for exposure under age 1 (-3.16 [-6.82-0.49]) and significant for exposure under age 2 (-4.09cm [-7.20--0.96]). Exposure to the Dutch famine at other ages was not consistently significantly associated with adult height. In terms of public health relevance, the study's results further underpin the importance of supporting pregnant women and young parents exposed to undernutrition.

Measuring Healthcare Providers' Performances Within Managed Competition Using Multidimensional Quality and Cost Indicators

BACKGROUND AND OBJECTIVES

The Dutch healthcare system is in transition towards managed competition. In theory, a system of managed competition involves incentives for quality and efficiency of provided care. This is mainly because health insurers contract on behalf of their clients with healthcare providers on, potentially, quality and costs. The paper develops a strategy to comprehensively analyse available multidimensional data on quality and costs to assess and report on the relative performance of healthcare providers within managed competition.

DATA AND METHODS

We had access to individual information on 2409 clients of 19 Dutch diabetes care groups on a broad range of (outcome and process related) quality and cost indicators. We carried out a cost-consequences analysis and corrected for differences in case mix to reduce incentives for risk selection by healthcare providers.

RESULTS AND CONCLUSION

There is substantial heterogeneity between diabetes care groups' performances as measured using multidimensional indicators on quality and costs. Better quality diabetes care can be achieved with lower or higher costs. Routine monitoring using multidimensional data on quality and costs merged at the individual level would allow a systematic and comprehensive analysis of healthcare providers' performances within managed competition.

[The willingness of the Dutch to pay for mental health care]

How much are the Dutch prepared to pay for mental health care? Nearly every year the content of the basic health insurance package alters as a results of new insights and scientific and medical progress. Up till now, the government of the Netherlands has largely ignored the wishes of its people regarding which services should be included in or dropped from the basis health care package.<br/> AIM: To describe a method for measuring the Dutch population's willingness to pay (wtp) for the inclusion of mental health care in the basic health insurance package and, at the same time, to present the first empirical findings obtained by this method.<br/> METHOD: Data were collected in 2013 via a printed questionnaire on which the respondent was asked to declare how much he or she would be prepared to pay for the inclusion of mental health care in the basic health care package. <br/> RESULTS: The average per capita amount that the Dutch were prepared to pay for the inclusion of mental health care was found be € 25.90 per month.<br/> CONCLUSION: The average amount that a Dutch national was prepared to pay for having mental health care included in the basic package was higher that the actual per capita amount paid for mental health care. In 2013 these costs were € 15.80 per capita per month.