Regional practice variation in hysterectomy and the implementation of less invasive surgical procedures: A register-based study in the Netherlands.

INTRODUCTION: Many women experience bleeding disorders that may have an anatomical or unexplained origin. Although hysterectomy is the most definitive and common treatment, it is highly invasive and resource-intensive. Less invasive therapies are therefore advised before hysterectomy for women with fibroids or bleeding disorders. This study has two aims related to treating bleeding disorders and uterine fibroids in the Netherlands: (1) to evaluate the regional variations in prevalence and surgical approaches; and (2) to assess the associations between regional rates of hysterectomies and less invasive surgical techniques to analyze whether hysterectomy can be replaced in routine practice. MATERIAL AND METHODS: We completed a register-based study of claims data for bleeding disorders and fibroids in women between 2016 and 2020 using data from Statistics Netherlands for case-mix adjustment. Crude and case-mix adjusted regional hysterectomy rates were examined overall and by surgical approach. Coefficients of variation were used to measure regional variation and regression analyses were used to evaluate the association between hysterectomy and less invasive procedure rates across regions. RESULTS: Overall, 14 186 and 8821 hysterectomies were performed for bleeding disorders and fibroids, respectively. Laparoscopic approaches predominated (bleeding disorders 65%, fibroids 49%), followed by vaginal (bleeding disorders 24%, fibroids 5%) and abdominal (bleeding disorders 11%, fibroids 46%) approaches. Substantial regional differences were noted in both hysterectomy rates and the surgical approaches. For bleeding disorders, regional hysterectomy rates were positively associated with endometrial ablation rates (ß = 0.11; P = 0.21) and therapeutic hysteroscopy rates (ß = 0.14; P = 0.31). For fibroids, regional hysterectomy rates were positively associated with therapeutic hysteroscopy rates (ß = 0.10; P = 0.34) and negatively associated with both embolization rates (ß = -0.08; P = 0.08) and myomectomy rates (ß = -0.03; P = 0.82). CONCLUSIONS: Regional variation exists in the rates of hysterectomy and minimally invasive techniques. The absence of a significant substitution effect provides no clear evidence that minimally invasive techniques have replaced hysterectomy in clinical practice. However, although the result was not significant, embolization could be an exception based on its stronger negative association.

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.

Passing on the hot potato. Dutch municipalities under financial pressure have incentives to shift the costs of social care for older people to the central government.

In view of the impending ageing of the population, countries have been searching for ways to restructure their social care system. Reforms often involve a decentralisation of authority from central to local government. Although such a decentralisation presents the opportunity to be receptive to social demand, it could provide the incentive for local governments that bear the burden of the costs to (partly) transfer their costs back to the central level. In this paper we examine the impact of fiscal distress of municipalities on cost-shifting behaviour to the central long-term care system in the Netherlands. Using data on both the municipal level as well as the level of individual applicants for the period 2016-2019, we find that municipalities with fiscal distress in social care have higher percentages of applications for centrally funded long-term care. However, we also observe that higher percentages of applications and rejections are positively correlated suggesting that the Dutch independent need assessor has the capacity to (partly) discard cost-shifted applications.

The height premium: A systematic review and meta-analysis.

The taller people are, the more money they tend to earn. This phenomenon is widely known as the height premium. However, it is not yet known whether the height premium is universal, or whether it varies by context. To that end, a systematic review of the literature was performed. Five databases were searched until August 2020. Ultimately, a list of 42 studies were included in a narrative synthesis, and 17 studies were included in a meta-analysis. Based on the meta-analysis, we found evidence that the height premium varied by context: the height premium was smaller in the U.S. and Australia, and larger in Latin America and Asia. Within geographies, there appeared to be a larger height premium for men than for women. Cultural factors, labor market structures and biology may play a role in determining the strength of the height premium.

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.

The potential risk of using historic claims to set bundled payment prices: the case of physical therapy after lower extremity joint replacement.

BACKGROUND: One of the most significant challenges of implementing a multi-provider bundled payment contract is to determine an appropriate, casemix-adjusted total bundle price. The most frequently used approach is to leverage historic care utilization based on claims data. However, those claims data may not accurately reflect appropriate care (e.g. due to supplier induced demand and moral hazard effects). This study aims to examine variation in claims-based costs of post-discharge primary care physical therapy (PT) utilization after total knee and hip arthroplasties (TKA/THA) for osteoarthritis patients. METHODS: This retrospective cohort study used multilevel linear regression analyses to predict the factors that explain the variation in the utilization of post-discharge PT after TKA or THA for osteoarthritis patients, based on the historic (2015-2018) claims data of a large Dutch health insurer. The factors were structured as predisposing, enabling or need factors according to the behavioral model of Andersen. RESULTS: The 15,309 TKA and 14,325 THA patients included in this study received an average of 20.7 (SD 11.3) and 16.7 (SD 10.1) post-discharge PT sessions, respectively. Results showed that the enabling factor 'presence of supplementary insurance' was the strongest predictor for post-discharge PT utilization in both groups (TKA: ß = 7.46, SE = 0.498, p-value< 0.001; THA: ß = 5.72, SE = 0.515, p-value< 0.001). There were also some statistically significant predisposing and need factors, but their effects were smaller. CONCLUSIONS: This study shows that if enabling factors (such as supplementary insurance coverage or co-payments) are not taken into account in risk-adjustment of the bundle price, they may cause historic claims-based pricing methods to over- or underestimate appropriate post-discharge primary care PT use, which would result in a bundle price that is either too high or too low. Not adjusting bundle prices for all relevant casemix factors is a risk because it can hamper the successful implementation of bundled payment contracts and the desired changes in care delivery it aims to support.

Is paternal height related to fertility outcomes? Evidence from the Netherlands during the secular growth trend.

Over the past two centuries, the Dutch experienced a tremendous secular trend in height, and ultimately became the tallest nation in the world. Improving environmental conditions likely played the largest role in explaining these developments. But it is not yet precisely clear what factor set the Dutch head and shoulders above other nations, who were also experiencing improving environmental conditions. Could fertility also have played a role? To understand this, we would first need to know whether height and fertility were related during the secular growth trend. In this study, we investigated whether this was the case. A sample of Dutch men, birth years 1850-1900 (n = 3396), was examined. We tested the extents to which height was associated with having a certain number of children, and with having a certain number of children survive infancy. Multinomial logistic regressions were used. In terms of findings, height's relationship to fertility outcomes was curvilinear: being shorter-than-average (0.75-0.5 standard deviations below the mean height) was associated with a higher probability of being married and having five to seven children, while being moderately tall (0.5 standard deviations above the mean height) was associated with the lowest probability of being unmarried. There was no relationship between paternal height and children surviving infancy in the sample overall, but taller height was associated with a decreased risk of being in a high-mortality family among men born between 1880 and 1900. If paternal fertility played a role in the secular growth trend, we would expect to see very tall men have the most children, and clearly have the most children surviving infancy. Given this study's findings, it is unlikely that this was the case.

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.

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.

Height and marital outcomes in the Netherlands, birth years 1841-1900.

Adult body height appears to be significantly associated with marital outcomes: taller men across contexts have been found to be more likely to be married, and more likely to be married at younger ages. We are interested in exploring both outcomes individually and simultaneously, while using an unique, individual-level dataset of Dutch men and their brothers born between 1841 and 1900. To do so, we exploit survival models and cure models. While survival models yield a single estimate for the hazard (or age at) marriage, cure models yield two: one for the likelihood of marriage, and one for the hazard of first marriage. Cure models thus account for selection into marriage, while survival models do not. We find that, in the survival analyses, being in the shortest 20 % of heights is associated with later ages of marriage, relative to being average height. However, when we account for selection into marriage with cure models, we find that height is no longer associated with age at marriage. Instead, we see that height is associated with the likelihood of being married, with being in the bottom 20 % of heights associated with a 56.1 % decreased likelihood of being married, relative to being average height. We therefore conclude that height may be a gatekeeper for access to marriage, but it appears that other factors - likely related to the ability to set up an independent household - are more important in determining the timing of marriage for our research population.

Global budget versus cost ceiling: a natural experiment in hospital payment reform in the Netherlands.

Global budget (GB) arrangements have become a popular method worldwide to control the rise in healthcare expenditures. By guaranteeing hospital funding, payers hope to eliminate the drive for increased production, and incentivize providers to deliver more efficient care and lower utilization. We evaluated the introduction of GB contracts by certain large insurers in Dutch hospital care in 2012 and compared health care utilization to those insurers who continued with more traditional production-based contracts, i.e., cost ceiling (CC) contracts. We used the share of GB hospital funding per postal code region to study the effect of contract types. Our findings show that having higher share of GB financing was associated with lower growth in treatment intensity, but it was also associated with higher growth in the probability of having at least one hospital visit. While the former finding is in line with our expectation, the latter is not and suggests that hospital visits may take longer to respond to contract incentives. Our study covers the years of 2010-2013 (2 years before and 2 years following the introduction of the new contracts). Therefore, our results capture only short-term effects.

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.

Practice variation in long-term care access and use: The role of the ability to pay.

Practice variation in publicly financed long-term care (LTC) may be inefficient and inequitable, similarly to practice variation in the health care sector. Although most OECD countries spend an increasing share of their gross domestic product on LTC, it has received comparatively little attention to date compared with the health care sector. This paper contributes to the literature by assessing and comparing regional practice variation in both access to and use of institutional LTC and investigating its relation with income and out-of-pocket payment. For this, we have access to unique individual-level data covering the entire Dutch population. Even though we found practice variation in the use of LTC once access was granted, the variation between regions was still relatively small compared with international standards. In addition, we showed how a co-payment measure could be used to reduce practice variation across care office regions and income classes making the LTC system not only more efficient but also more equitable.

Adult body height as a mediator between early-life conditions and socio-economic status: the case of the Dutch Potato Famine, 1846-1847.

Adult body height appears to be a relatively accurate summary variable of early-life exposures' influence on health, and may be a useful indicator of health in populations where more traditional health-related indicators are lacking. In particular, previous studies have shown a strong, positive relationship between environmental conditions in early life (particularly nutritional availability and the disease environment) and adult height. Research has also demonstrated positive associations between height and socioeconomic status. We therefore hypothesize that height mediates the relationship between early-life conditions and later-life socio-economic outcomes. We also hypothesize that the period of exposure in early life matters, and that conditions during pregnancy or the first years of life and/or the years during puberty have the largest effects on height and socio-economic status. To test these relationships, we use a sample of 1817 Dutch military conscripts who were exposed during early life to the Dutch Potato Famine (1846-1847). We conduct mediation analyses using structural equation modelling, and test seven different time periods in early-life. We use potato prices and real wages to proxy early-life environmental conditions, and occupational status (using the HISCAM scale) to proxy socioeconomic status. We find no evidence of mediation, partial or full, in any models. However, there are significant relationships between potato prices in adolescence, height and socio-economic status. To determine causality in these relationships, further research is needed.

The total value of time of children undergoing treatment: A contingent valuation from the perspective of parents in the orthopaedic department of a Dutch hospital.

AIM: Children spend substantial amounts of time receiving medical care (patients' time), and this patients' time plays an important role in parental choices for paediatric care. However, it is usually ignored in economic evaluations. This is a concern because economic evaluations are increasingly being used to inform child health policy decision-making. This study aims to quantify the time children spend receiving medical care and attach a monetary value to it for use in economic evaluations. It applied the parents' perspective. Consequently, the derived money values are the time values for both child and the accompanying parent. METHODS: We used the contingent valuation methodology. We collected data on 83 children undergoing orthopaedic treatment in a Dutch hospital. Accompanying parents were asked to quantify and value the patients' time of their children. We separately explored travel, waiting and treatment time. We also checked whether the monetary valuation varied across parents' financial situation, children's health and level of pain. RESULTS: Parents were willing to pay about €33 (confidence interval (CI) 21.2-48.1) for a 1-day reduction in treatment time; about €11.5 (CI 4.2-19.1) for an hour's reduction in waiting time; and about €4.5 (CI 1.5-7.4) for an hour's reduction in travel time. In addition, respondents with better financial conditions have, on average higher, willingness to pays. CONCLUSIONS: To our knowledge, this is the first instance that patients' time of children has been monetarily valued. This methodology can be used to further develop economic evaluations of paediatric care and could be applied to larger samples with varying clinical conditions.

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.

Good, better, best? A comprehensive comparison of healthcare providers' performance: An application to physiotherapy practices in primary care.

Most payment methods in healthcare stimulate volume-driven care, rather than value-driven care. Value-based payment methods such as Pay-For-Performance have the potential to reduce costs and improve quality of care. Ideally, outcome indicators are used in the assessment of providers' performance. The aim of this paper is to describe the feasibility of assessing and comparing the performances of providers using a comprehensive set of quality and cost data. We had access to unique and extensive datasets containing individual data on PROMs, PREMs and costs of physiotherapy practices in Dutch primary care. We merged these datasets at the patient-level and compared the performances of these practices using case-mix corrected linear regression models. Several significant differences in performance were detected between practices. These results can be used by both physiotherapists, to improve treatment given, and insurers to support their purchasing decisions. The study demonstrates that it is feasible to compare the performance of providers using PROMs and PREMs. However, it would take an extra effort to increase usefulness and it remains unclear under which conditions this effort is cost-effective. Healthcare providers need to be aware of the added value of registering outcomes to improve their quality. Insurers need to facilitate this by designing value-based contracts with the right incentives. Only then can payment methods contribute to value-based healthcare and increase value for patients.

Attributing a monetary value to patients' time: A contingent valuation approach.

It is hard to ignore the importance of patient time investment in the production of health since the influential paper by Grossman (1972). Patients' time includes time to admission, travel time, waiting time, and treatment time and can be substantial. Patients' time is, however, often ignored in economic analyses. This may lead to biased results and inappropriate policy recommendations, which may eventually influence patients' health, wellbeing and welfare. How to value patient time is not straightforward. Although there is some emerging literature on the monetary valuation of patient time, an important challenge remains to develop an approach that can be used to monetarily value time of patients not participating in the labour market. We aim to contribute to the health economics literature by describing and empirically illustrating how to monetarily value the time of patients not participating in the labour market comprehensively, using the contingent valuation method. It is worth noting that our method can also be applied to people participating in the labour market. This paper describes the development of the contingent valuation survey. We apply our survey approach to a sample of 238 Dutch patients not participating in the labour market: n = 107 Radiotherapy department (data collected between November 2011 and January 2013); n = 44 Rehabilitation department (March 2012-May 2012); n = 87 Orthopaedics department (January to June 2013). Results show that those patients value waiting time the highest (€30.10 per hour) and value travel and treatment time equally with respectively €13.20 and €13.32 per hour. This paper encourages future empirical research refining and applying the developed survey methodology to create more data on how other subgroups of individuals value their patients' time.