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Introduction: The COVID-19 pandemic was a public health emergency (PHE) of unprecedented magnitude and impact. It provided the possibility to investigate the Dutch citizens' understanding and perception of the actors involved in the Dutch pandemic response as a PHE unfolded., Methods: Three focus groups (FGs) were held with 16 Dutch citizens in June 2020. Citizens were recruited using the Dutch Health Care Consumer Panel. During the FGs, participants were asked to fill in a table with actors they thought were involved in the management of the COVID-19 pandemic. They also received information on actors involved in Dutch outbreak responses. Then, the actors named and omitted by the participants were discussed., Results: An analysis of the FGs suggests that the Dutch citizens participating in the study were not fully aware of the scope of actors involved in the Dutch COVID-19 pandemic response. Some participants would have appreciated more information on the actors involved. This would help them have an informed opinion of the actors involved in the decision-making process, and accept non-pharmaceutical interventions implemented. Lastly, most participants recognised that they played a role in limiting the spread of the COVID-19 pandemic. Yet, very few spontaneously mentioned themselves as actors within the COVID-19 pandemic response., Conclusion: This study suggests that early in the COVID-19 pandemic, the Dutch citizens participating in this study's FG did not have a complete understanding of the scope of actors involved in the Dutch COVID-19 pandemic response, or the potential role of the citizen. Future research can build on these results to explore the citizen's perception of their role during PHEs of another origin, as well as other geographical and historical contexts., Patient or Public Contribution: The public participated in the focus groups and received a non-expert report summarising the outcomes of the focus groups., (© 2024 The Author(s). Health Expectations published by John Wiley & Sons Ltd.)

Needs assessment is the starting point of good home care as it determines which care is necessary, based on the needs of patients, their personal situation, and social context. There are indications that practice variation in needs assessment exists among home care nurses. However, little is known about potential explanations for this variation. Therefore, we explored potential explanations for practice variation in other areas and examined whether these explanations can be applied to explain variation in needs assessment in home care nursing. We conducted a scoping review of the literature on practice variation in (1) needs assessment in home care nursing, (2) home care nursing in general, and (3) medical care in general, with searches in PubMed and CINAHL. We assessed over 6,000 references. Ultimately, 386 studies were included. Explanations for practice variation were grouped into micro, meso and macro level. This scoping review provided insight into a wide variety of variables that might play a role in explaining practice variation in (needs assessment in) home care nursing, such as availability of guidelines, organisational culture, team norms, resources, and preferences of patients. However, the small literature on needs assessment by home care nurses devoted more attention to patients and their social context, compared to the literature on practice variation in general. We discuss how and to what extent these variables could relate to practice variation in (needs assessment in) home care nursing. Future research should empirically examine the role of these variables in explaining the observed practice variation., (© 2024. The Author(s).)

Introduction: Consumers may purchase commercial diagnostic tests (CDT) without prior doctor consultation. This paper analyzes three CDT markets-commercial cholesterol tests (CCT), direct-to-consumer genetic health tests (DGT) and total body scans (TBS)-in the context of the universal, collectively financed health care system of the Netherlands., Methods: An online willingness-to-pay (WTP) questionnaire was sent to a representative sample of 1500 Dutch consumers. Using contingent valuation (CV) methodology, an array of bids for three self-tests were presented to the respondents. The results were extrapolated to the Dutch population and compared to current prices and follow-up medical utilization, allowing analysis from a societal perspective., Results: Overall, 880 of 1500 respondents completed the questionnaire (response rate 59%). Of the respondents, 26-44% were willing to pay a positive amount for the CDT. Willingness-to-pay was correlated to age and household income, but not to health status or prior experience with these tests. At mean current prices of €29 for CCT, €229 for DGT and €1,650 for TBS, 3.3%, 2.5%, and 1.1%, were willing to purchase a CCT, DGT, and TBS, respectively. All three CDT resulted in net costs to the health system, estimated at €5, €16, and €44 per test, respectively. Reducing volumes by 90,000 CCTs (19%), 19,000 DGTs (5%) and 4,000 TBSs (2.5%) in 2019 would optimize welfare., Conclusion: Most respondents were unwilling to consume CDT at any price or only if the CDT were provided for free. However, for a small group of consumers, societal costs exceed private benefits. Therefore, CDT regulation could provide small welfare gains., (© 2023. The Author(s).)

In a healthcare system based on managed competition, health insurers are intended to be the prudent buyers of care on behalf of their enrollees. Equally, citizens are expected to be critical consumers when choosing a health insurance policy. The choice of a health insurance policy may be related to trust in the health insurer, as enrollees must believe that the health insurer will make the right choices for them when it comes to purchasing care. This study aims to investigate how enrollees' trust in health insurers is associated with their choice of a health insurance policy in the Netherlands. We will focus on the switching behaviour of enrollees and the choice of a policy with restrictive conditions. In February 2022, a questionnaire was sent to a representative sample regarding gender and age of the adult Dutch population. In total 1,125 enrollees responded, a response rate of 56%. Respondents were asked about the choices they made in choosing health insurance. Trust in health insurers was measured using the Health Insurer Trust Scale (HITS), a validated multiple item scale. Descriptive statistics, a paired t-test and logistic regression models were conducted to analyse the results. Of all respondents, 35% indicated that they agree, or completely agree, with the statement that they trust health insurers completely. In addition, trust in enrollees' own insurer is slightly higher than trust in other insurers (36.29 vs. 33.59, p<0.001). Furthermore, we found no significant associations between trust in health insurers, and whether enrollees have either switched health insurers or have chosen a policy with restrictive conditions. This study showed that enrollees' trust in health insurance in the Netherlands is relatively low and that trust in their own insurer is slightly higher than trust in other insurers. Furthermore, this study does not show a relationship between trust in health insurers and, either switching health insurers, or choosing a policy with restrictive conditions. Nevertheless, attention for increasing the trust in health insurers might still be important, as low trust may have negative consequences for other elements of the functioning of the healthcare system., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 van der Hulst et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Trust in healthcare and medication, defined as feelings of reassurance and confidence in the healthcare system or medication, may be a key prerequisite before engaging in the use of medication. However, earlier studies have focussed on beliefs about medication rather than trust as predictors of medication adherence. This study therefore aims to simultaneously explore the relationship of trust in healthcare, medication and beliefs about medication, with medication adherence., Methods: In a cross-sectional study, an online questionnaire was sent out to 1500 members of the Dutch Health Care Consumer Panel of Nivel in November 2018. Respondents were asked to grade their level of trust in healthcare and medication (scale 1-10). The Beliefs About Medicines Questionnaire (BMQ) for general and specific medication beliefs was used to address beliefs, the Medication Adherence Report Scale (MARS-5) to measure medication adherence. Data were analysed using structural equation modelling (SEM) with a backward stepwise approach. Out of 753 people that completed the questionnaire, 407 people used prescription medication and were included in the analyses., Results: A positive association between trust in medication and medication adherence was found (0.044, p < 0.05). BMQ subscales Overuse (-0.083, p < 0.05), Necessity (0.075, p < 0.05) and Concerns (-0.134, p < 0.01) related with medication adherence. BMQ subscale Harm did not relate to medication adherence., Conclusion: Trust in medication and beliefs about medication were both individually associated with medication adherence. Healthcare providers should therefore not only focus on patients' medication beliefs, but also on strengthening patients' trust in medication to improve medication adherence., Competing Interests: Declaration of Competing Interest RtP and AL declare to have no conflict of interest. MV received funding for research unrelated to this study from Teva, Biogen and AstraZeneca. AB received funding for research unrelated to this study from Teva. JFMvB received grants and/or consultancy fees from Aardex, AstraZeneca, Chiesi, Lung Alliance Netherlands, European Commission COST (COST Action 19,132), GSK, Novartis, Pfizer, Pill Connect, Teva, Trudell Medical and Vertex, outside the submitted work and all paid to his institution. LvD received funding for research unrelated to this study from Teva and Biogen., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

In several countries, citizens are expected to be critical consumers when choosing a health insurance policy. However, there are indications that citizens do not always have the sufficient skills, so called health insurance literacy (HIL), to do this. We investigated whether the level of HIL among Dutch citizens is related to the way in which they experience the process of choosing a policy, and furthermore whether it is related to their health insurance choices. We obtained information by sending questionnaires to members of the Nivel Dutch Health Care Consumer Panel in 2020. Of the 1,500 approached, 806 panel members participated (response rate 54%). Our results indicate that, compared to those with a high HIL, respondents with a low HIL more often find choosing a health insurance policy difficult, not interesting, and boring, and less often consider it important and worthwhile. Furthermore, they make less use of the opportunity to switch from one health insurer to another. However, they do still opt for a supplementary insurance policy and a voluntary deductible to the same extent as citizens with a high HIL. We conclude that the HIL level among Dutch citizens is related to the way in which they experience the process of choosing a health insurance policy and to the extent to which they switch from one insurer to another. But it is not related to their health insurance choices. Follow-up research should focus on how citizens with a low HIL can be better supported when choosing a health insurance policy., (© 2023. BioMed Central Ltd., part of Springer Nature.)

In many European countries, including the Netherlands, the healthcare system is financed according to the principles of solidarity. It is important, therefore, that public support for solidarity in healthcare financing is sufficient in order to ensure that people remain willing to contribute towards solidarity-based systems. The high willingness to contribute to the healthcare costs of others in the Netherlands suggests that support is generally high. However, there are differences between groups. Previous research has focused on mechanisms at the individual and institutional level to explain these differences. However, people's social context may also play a role. Little research has been conducted into this. To fill this gap, we examined the role of perceived social support and social norms in order to explain differences in the willingness to contribute to other people's healthcare costs. In November 2021, we conducted a survey study in which a questionnaire was sent to a representative sample of 1,500 members of the Dutch Healthcare Consumer Panel. This was returned by 837 panel members (56% response rate). Using logistic regression analysis, we showed that people who perceive higher levels of social support are more willing to contribute to the healthcare costs of others. We also found that the willingness to contribute is higher when someone's social context is more supportive of healthcare systems that are financed according to the principles of solidarity. This effect does not differ between people who perceive low and high levels of social support. Our results suggest that, next to the individual and institutional level, the social context of people has to be taken into consideration in policy and research addressing support for solidarity in healthcare financing., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Meijer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Practice variation in healthcare is a complex issue. We focused on practice variation in induction of labor between maternity care networks in the Netherlands. These collaborations of hospitals and midwifery practices are jointly responsible for providing high-quality maternity care. We explored the association between induction rates and maternal and perinatal outcomes., Methods: In a retrospective population-based cohort study, we included records of 184,422 women who had a singleton, vertex birth of their first child after a gestation of at least 37 weeks in the years 2016-2018. We calculated induction rates for each maternity care network. We divided networks in induction rate categories: lowest (Q1), moderate (Q2-3) and highest quartile (Q4). We explored the association of these categories with unplanned caesarean sections, unfavorable maternal outcomes and adverse perinatal outcomes using descriptive statistics and multilevel logistic regression analysis corrected for population characteristics., Findings: The induction rate ranged from 14.3% to 41.1% (mean 24.4%, SD 5.3). Women in Q1 had fewer unplanned caesarean sections (Q1: 10.2%, Q2-3: 12.1%; Q4: 12.8%), less unfavorable maternal outcomes (Q1: 33.8%; Q2-3: 35.7%; Q4: 36.3%) and less adverse perinatal outcomes (Q1: 1.0%; Q2-3: 1.1%; Q4: 1.3%). The multilevel analysis showed a lower unplanned caesarean section rate in Q1 in comparison with reference category Q2-3 (OR 0.83; p = .009). The unplanned caesarean section rate in Q4 was similar to the reference category. No significant associations with unfavorable maternal or adverse perinatal outcomes were observed., Conclusion: Practice variation in labor induction is high in Dutch maternity care networks, with limited association with maternal outcomes and no association with perinatal outcomes. Networks with low induction rates had lower unplanned caesarean section rates compared to networks with moderate rates. Further in-depth research is necessary to understand the mechanisms that contribute to practice variation and the observed association with unplanned caesarean sections., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Offerhaus et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: To elicit the relative importance of the benefits and harms of colorectal cancer (CRC) screening among potential screening participants in the Dutch population., Methods: In a consensus meeting with 11 experts, risk reduction of CRC and CRC deaths (benefits) and complications from colonoscopy, stress of receiving positive fecal immunological test (FIT) results, as well as false-positive and false-negative FIT results (harms) were selected as determinant end points to consider during decision making. We conducted an online best-worst scaling survey among adults aged 55 to 75 years from the Dutch Health Care Consumer Panel of The Netherlands Institute for Health Services Research to elicit preference values for these outcomes. The preference values were estimated using conditional logit regression., Results: Of 265 participants, 234 (89%) had ever participated in CRC screening. Compared with the stress of receiving a positive FIT result, the outcome perceived most important was the risk of CRC death (odds ratio [OR] 4.5; 95% confidence interval [CI] 3.9-5.1), followed by risk of CRC (OR 4.1; 95% CI 3.6-4.7), a false-negative FIT result (OR 3.1; 95% CI 2.7-3.5), colonoscopy complications (OR 1.6; 95% CI 1.4-1.8), and a false-positive FIT result (OR 1.4; 95% CI 1.3-1.6). The magnitude of these differences in perceived importance varied according to age, educational level, ethnic background, and whether the individual had previously participated in CRC screening., Conclusion: Dutch men and women eligible for FIT-based CRC screening perceive the benefits of screening to be more important than the harms., (Copyright © 2023. Published by Elsevier Inc.)

It is argued that solidarity-based healthcare systems are under pressure and that public support is decreasing. It can, therefore, be expected that support for solidarity in healthcare financing has diminished over time. However, little research has been conducted into this. To fill this gap, we used survey data from 2013, 2015, 2017, 2019, and 2021 to examine changes in public support for solidarity in healthcare financing in the Netherlands over time. This was operationalised as the own willingness and the expected willingness of others to contribute to other people's healthcare costs. Using logistic regression analysis, we found that the own willingness to contribute has slightly increased among the general population over time, although this was not observed in all subgroups. No change in the expected willingness of others to contribute was observed. Our results suggest that the willingness to contribute to other people's healthcare costs has, at least, not decreased over time. A majority of the Dutch population remains willing to share the burden of healthcare costs, indicating support for the principles of the solidarity-based healthcare system. However, not all people are willing to contribute to the healthcare costs of others. In addition, we do not know how much people want to pay. Further research into these topics is necessary., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Aim: Worldwide, long-term care tends to shift from institutional care towards home care. In order to deliver high-quality and adequate care, the type, amount and cost of care is determined by a patient needs assessment. However, there are indications that this patient needs assessment varies between comparable patients. In the Netherlands, some home care organizations aim to improve patient needs assessments by implementing improvement measures to reduce this practice variation. The goal of this study was to explore the type and perceived impact of those implemented improvement measures., Design: A cross-sectional explorative survey study was conducted among Dutch home care organizations between January and April 2021., Methods: An online questionnaire with 26 items was developed by the research team, which was distributed through Dutch nationwide home care sector organizations, the Dutch nurses' association (V&VN) and the Dutch society for home care nursing (NWG)., Results: The survey was completed by 184 respondents, including home care nurses, managers and staff who are responsible for training, policy and quality of care. Intervision and peer review for home care nurses were the most common reported improvement measures that were implemented in home care organizations. The experiences of those improvement measures have been perceived as creating greater uniformity in the patient needs assessment, making home care nurses feel more supported and secure performing their patient needs assessment and that the provided care is more in line with patients' demand. Our findings give insights into type and perceived impact of improvement measures that Dutch home care organizations implemented. Further research is needed to find out whether improvement measures actually improve patient needs assessments and reduce practice variation., (© 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd.)

Background: In a healthcare system based on managed competition, it is important that health insurers are able to channel enrollees to preferred providers. This results in incentives for healthcare providers to improve the quality and reduce the price of care. One of the instruments to guide enrollees to preferred providers is by providing healthcare advice. In order to use healthcare advice as an effective instrument, it is important that enrollees accept the health insurer as a healthcare advisor. As trust in health insurers is not high, this may be an obstacle for enrollees to be receptive to the health insurer's advice. This study aims to investigate the association between trust in the health insurer and the willingness to receive healthcare advice from the health insurer in the Netherlands. In terms of receiving healthcare advice, we examine both enrollees' willingness to approach the health insurer themselves and their willingness to be approached by the health insurer., Methods: In February 2021, a questionnaire was sent to a representative sample of the Dutch population. The questionnaire was completed by 885 respondents (response rate 59%). Respondents were asked about their willingness to receive healthcare advice, and trust in the health insurer was measured using a validated multiple item scale. Logistic regression models were conducted to analyse the results., Results: Enrollees with more trust in the health insurer were more willing to approach their health insurer for healthcare advice (OR = 1.07, p = 0.00). In addition, a higher level of trust in the health insurer is significantly associated with the odds that enrollees would like it/really appreciate it if their health insurer actively approached them with healthcare advice (OR = 1.07, p = 0.00). The role of trust in the willingness to receive healthcare advice is not proven to differ between groups with regard to educational levels, health status or age., Conclusions: This study confirms that trust plays a role in the willingness to receive healthcare advice from the health insurer. The association between the two emphasizes the importance to increase enrollees' trust in the health insurer. As a result, health insurers may be better able to fulfil their role as healthcare advisor., (© 2023. The Author(s).)

Background: There are several indications that citizens in the Netherlands struggle to make critical, well-considered decisions about which insurance policy best fits their needs and preferences. This can lead to citizens being sub-optimally insured, facing unexpected costs or suffering inadequate coverage. This study aims to examine how health insurance literacy (HIL) is distributed among citizens in the Netherlands; and to find out whether there are certain groups who have more difficulty choosing and using a health insurance policy., Methods: We measured health insurance literacy using the HILM-NL questionnaire, the validated Dutch version of the original health insurance literacy measure (HILM). In February 2020, the HILM-NL was sent to 1,500 members of the Nivel Dutch Health Care Consumer Panel. The response rate was 54% (806)., Results: There is a wide variation in HIL among citizens in the Netherlands. The average total HILM-NL score is 55.14 (on a range of 21-84). The level of education and the household net income are significantly related to HIL., Conclusions: Citizens who completed less education or earn a lower income are relatively more likely to have difficulty choosing a health insurance policy or using policy benefits to pay for health services once enrolled. It is important to support these vulnerable groups properly in their choice and use of a health insurance policy., Competing Interests: Declaration of Competing Interest None, (Copyright © 2022. Published by Elsevier B.V.)

Poor understanding of prescription drug label (PDL) instructions can lead to medication errors, suboptimal treatment (side) effects, and non-adherence. A personalized medication hard-copy overview listing PDL instructions and visual information may support patients in their medication use. This study aimed to investigate the comprehensibility of PDL instructions on a personalized medication overview compared to usual-care PDL instructions presented on a medication box. A hypothetical-online-experiment was set up, comparing groups of respondents exposed vs not exposed to the medication overview and who received PDL instructions for three, five, or eight medications. Participants were divided randomly in six groups. Online questionnaires were sent to a stratified sample of 900 members from the Nivel Dutch Healthcare Consumer Panel. Outcome measures included comprehension of instructions for medication use, e.g. how often, dose timing, usage advice and warnings for a medication with simple use instructions (omeprazol) and more complex use instructions (levodopa/carbidopa (L/C)). To analyze differences between experimental conditions ANOVA testing was used. 604 respondents (net response 67%) completed the questionnaires. Respondents exposed (E) to the overview gave a higher proportion of correct answers compared to non-exposed (NE) respondents for usage advice (L/C: mean 0.83, SD 0.4 E; 0.03, SD 0.2 NE, p < 0.001; omeprazol: mean 0.85, SD 0.4 E; 0.10, SD 0.3 NE, p < 0.001). Both groups gave the same proportion of correct answers (mean 0.80, SD 0.4, p = 1.0) for dose timing of omeprazol. More NE respondents gave correct answers for how often (mean 0.85, SD 0.4 NE; mean 0.76, SD 0.4 E, p = 0.02) and dose timing (mean 0.92, SD 0.3 NE; mean 0.86, SD 0.4 E, p = 0.04) of L/C. No differences were found regarding number of medications nor were interaction effects found between the number of medications and information type. As a medication overview contains additional information, it can be a good addition in supporting patients in their medication use compared to usual-care PDLs. Future research should focus on identifying patient groups who might benefit more from a medication overview, by testing the effect of such overview on this group., Competing Interests: LD received funding from Biogen, the Dutch Ministry of Health, Zilveren Kruis, ZonMw, and EIT Health for studies not related to this study. MV received funding from AstraZeneca, Biogen, ZonMw, EIT Health, and the Royal Dutch Pharmacists Association for research not related to this study. LS received funding from EIT Health and the Royal Dutch Pharmacists Association for research not related to this study. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Schackmann, van Dijk, Brabers, Zwier, Koster and Vervloet.)

Our objective was to study associations between demographics, tinnitus specific-, audiological-, general- and mental health characteristics, and impact of tinnitus in the general population. In this cross-sectional survey study in the Dutch population, data were prospectively gathered. Tinnitus impact was assessed with the Tinnitus Functional Index (TFI). We included participants who experienced tinnitus and for whom a total TFI score could be calculated ( n = 212). We performed univariable and multivariable regression analyses. Due to logarithmical transformation, the B-scores were back-transformed to show the actual difference in points on the TFI. People who considered hyperacusis a small problem had a 12.5-point higher TFI score, those who considered it a mediocre problem had a 17.6-point higher TFI score and those who considered it a large problem had a 24.1-point higher TFI score compared to people who did not consider hyperacusis a problem. People who indicated having minor hearing problems had a 10.5-point higher TFI score, those with mediocre hearing problems had a 20.4-point higher TFI score and those with severe hearing problems had a 41.6-point higher TFI score compared to people who did not have subjective hearing problems. In conclusion, audiological risk factors, such as hearing problems and hyperacusis, have the largest association with the impact of tinnitus on daily life, compared to other assessed variables. The results of this study can be used in future research to find targeted interventions to diminish the impact of tinnitus.

Background: Within the Dutch healthcare system of managed competition, health insurers can contract healthcare providers selectively. Enrollees who choose a health insurance policy with restrictive conditions will have to make a co-payment if they consult a non-contracted provider. This study aims to gain insight into enrollees' awareness of the conditions of such health insurance policies., Methods: In August 2020, an online questionnaire was sent out via health insurers to their enrollees with restrictive health plans. In total 13,588 enrollees responded., Results: One fifth of the respondents appeared to be totally unfamiliar with the policy conditions. Men, younger people, people with a low level of education, a lower income, a poorer health status and non-care users were found to be less familiar with the conditions. Of those who have been in the situation that they wanted to visit a healthcare provider whose care was not fully reimbursed, 62% went to that provider. Of those who had to pay extra because hospital care was not fully reimbursed, 62% did not know this in advance and 30% indicated that paying extra was a serious problem., Conclusions: Not all enrollees who choose a policy with restrictive conditions are aware of the consequences of receiving care from non-contracted providers. Increased awareness among enrollees will benefit the functioning of the healthcare system based on managed competition., (Copyright © 2022. Published by Elsevier B.V.)

Knowledge on characteristics of people that seek help for tinnitus is scarce. The primary objective of this study was to describe differences in characteristics between people with tinnitus that seek help compared to those who do not seek help. Next, we described differences in characteristics between those with and without tinnitus. In this cross-sectional study, we sent a questionnaire on characteristics in different domains; demographic, tinnitus-specific, general- and psychological health, auditory and noise- and substance behaviour. We assessed if participants had sought help or planned to seek help for tinnitus. Tinnitus distress was defined with the Tinnitus Functional Index. Differences between groups (help seeking: yes/no, tinnitus: yes/no) were described. 932 people took part in our survey. Two hundred and sixteen participants were defined as having tinnitus (23.2%). Seventy-three of those sought or planned to seek help. A constant tinnitus pattern, a varying tinnitus loudness, and hearing loss, were described more frequently in help seekers. Help seekers reported higher TFI scores. Differences between help seekers and people not seeking help were mainly identified in tinnitus- and audiological characteristics. These outcomes might function as a foundation to explore the heterogeneity in tinnitus patients., (© 2021. The Author(s).)

Background: In a health insurance system based on managed competition, such as in the Netherlands, it is important that all citizens can make well-informed decisions on which policy fits their needs and preferences best. However, partly due to the large variety of health insurance policies, there are indications that a significant group of citizens do not make rational decisions when choosing a policy., Objective: This study aimed to provide more insight into (1) how important it is for citizens in the Netherlands to choose a health insurance policy and (2) how easy it is for them to comprehend the information they receive., Methods: Data were collected by sending a survey to members of the Nivel Dutch Health Care Consumer Panel in February 2017. The response rate was 44% ( N = 659)., Key Results: Our results indicate that citizens in the Netherlands acknowledge the importance of choosing a health insurance policy, but they also point out that it is difficult to comprehend health insurance information., Conclusion: Our findings suggest that a section of the citizens do not have the appropriate skills to decide which insurance policy best fits their needs and preferences. Having better insight into their level of health insurance literacy is an important step in the process of evaluating the extent to which citizens can fulfill their role in the health insurance system. Our results suggest that it is important to better tailor information on health insurances to the specific needs and skills of the individual. By doing this, citizens will be better supported in making well-informed decisions regarding health insurance policies, which should have a positive effect on the functioning of the Dutch health insurance system. [ HLRP: Health Literacy Research and Practice . 2021;5(4):e287-e294.] Plain Language Summary: The number of health insurance policy options to choose from is extensive in the Netherlands. This study explored to what extent citizens in the Netherlands find it important to choose a health insurance policy, and to what extent they comprehend the information they receive. The data were collected in 2017 using the Nivel Dutch Health Care Consumer Panel.

Introduction: Patients vary in their preferences regarding involvement in medical decision-making. Current research does not provide complete explanation for this observed variation. Patient involvement in medical decision-making has been found to be influenced by various mechanisms, one of which could be patients' trust in physicians. The aim of this study was to examine whether trust in physicians fosters or impairs patient involvement in medical decision-making. This study also aimed to determine to what extent the relationship between trust and preferences regarding decision-making roles was influenced by the sociodemographic characteristics of the patients. We hypothesised that trust can both foster and impair patient involvement in medical decision-making., Materials and Methods: A survey was sent out to members of the Nivel Dutch Health Care Consumer Panel in February 2016 (response rate = 47%, N = 703). The Wake Forest Physician Trust Scale was used to measure trust. Patient involvement was measured using two items based on the study published by Flynn and colleagues in 2006. Multiple regression analysis was used to analyse the relationship between trust and patient involvement., Results: We found a negative relationship between trust and patient involvement in medical decision-making in men. Women with high trust reported to be more involved in medical decision-making compared to men with high trust., Conclusion: The results suggest that trust impairs involvement in medical decision-making for men but not for women. Further research could provide a more comprehensive explanation of the variation in patient preferences regarding involvement in medical decision-making to further elucidate which underlying mechanisms could enhance patient participation., Competing Interests: The authors have declared that no competing interests exist.

Introduction: Tinnitus prevalence numbers in the literature range between 5 and 43%, depending on the studied population and definition. It is unclear when tinnitus becomes pathologic. Objectives: To assess the tinnitus prevalence in the Dutch general population with different cutoffs for definition. Methods: In this cross-sectional study, a questionnaire was sent to a sample ( n = 2,251) of the Nivel (Netherlands Institute for Health Services Research) Dutch Health Care Consumer Panel. Three questions were asked to assess the presence of tinnitus, duration, and frequency of the complaint. We classified people as having pathologic tinnitus when participants experienced it for 5-60 min (daily or almost daily or weekly), or tinnitus for >60 min or continuously (daily or almost daily or weekly or monthly), so tinnitus impact on daily life was measured with the Tinnitus Functional Index (TFI) and a single-item question. Answers were stratified to mid-decade years of age. Prevalence numbers were weighted by gender and age to match the Dutch population. Results: Nine hundred thirty-two of 2,251 participants (41%) filled out the questionnaire. The median age was 67.0 ( IQR 17) years. Three hundred thirty-eight of 932 (36%) experienced tinnitus for an undefined amount of time during the last year. Two hundred sixteen of 932 (23%) met our definition of having pathologic tinnitus (21% when weighted for age and gender). The median TFI score for all pathologic tinnitus participants was 16.6 ( IQR 21.8). A percentage of 50.4% of the pathologic tinnitus participants had a TFI in the range 0-17, which can be interpreted as not a problem. Conclusion: Twenty-three percent (unweighted) or 21% (weighted) of our sample met our definition of pathologic tinnitus, which was based on a combination of duration and frequency over the last year. The TFI score of 47.7% of the pathologic tinnitus participants is ≥18. This indicates that they consider the tinnitus to be at least "a small problem" [11.1% (unweighted) or 8.9% (weighted) of the total study group]. This study illustrates the difficulties with defining pathologic tinnitus. In addition, it demonstrates that tinnitus prevalence numbers vary with different definitions and, consequently, stresses the importance of using a uniform definition of tinnitus., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Rademaker, Smit, Brabers, de Jong, Stokroos and Stegeman.)

A key component of outbreak control is monitoring public perceptions and public response. To determine public perceptions and public responses during the first 3 months of the coronavirus disease (COVID-19) outbreak in the Netherlands, we conducted 6 repeated surveys of ≈3,000 persons. Generalized estimating equations analyses revealed changes over time as well as differences between groups at low and high risk. Overall, respondents perceived the risks associated with COVID-19 to be considerable, were positive about the mitigation measures, trusted the information and the measures from authorities, and adopted protective measures. Substantial increases were observed in risk perceptions and self-reported protective behavior in the first weeks of the outbreak. Individual differences were based mainly on participants' age and health condition. We recommend that authorities constantly adjust their COVID-19 communication and mitigation strategies to fit public perceptions and public responses and that they tailor the information for different groups.

Background: In market-based systems, the possibility to switch is an important precondition for a well-functioning health insurance market. To assess whether such a market works as intended, insight into the considerations and perceived barriers of insured is needed. This study examines the rates and reasons for not switching health insurer in the Netherlands, and whether these reasons differ between the general population and the population of people with a chronic illness., Methods: We made use of survey data collected in 2017 among two panels representing the general population (n = 659, response 44%) and the chronically ill population (n = 1593, response 86%)., Results: We found differences regarding the reasons for not switching insurer. The chronically ill population seems to attach more importance to reasons related to the coverage of the health plan, whereas the general population is more focused on the level of service. Some people who considered switching experienced barriers, however, these barriers were not significantly more experienced by the chronically ill population., Conclusions: This study reveals differences between the general population and the chronically ill population when examining reasons for not switching related to quality and coverage. A subset from the people who initially considered to switch experienced barriers which might have altered their decision. Further research is recommended to include questions about information search behaviour to examine which consumers make an informed decision for not switching, and for whom barriers limit switching., (© The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: The use of patient portals for presenting health-related patient data, such as blood test results, is becoming increasingly important in health practices. Patient portals have the potential to enhance patient health engagement, but content might be misinterpreted., Objective: This study aimed to discover whether the way of presenting blood test outcomes in an electronic patient portal is associated with patient health engagement and whether this varies across different blood test outcomes., Methods: A 2x3 between-subjects experiment was conducted among members of the Nivel Dutch Health Care Consumer Panel. All participants read a scenario in which they were asked to imagine themselves receiving blood test results. These results differed in terms of the presented blood values (ie, normal vs partially abnormal vs all abnormal) as well as in terms of whether the results were accompanied with explanatory text and visualization. Patient health engagement was measured both before (T0) and after (T1) participants were exposed to their fictive blood test results., Results: A total 487 of 900 invited members responded (response rate 54%), of whom 50.3% (245/487) were female. The average age of the participants was 52.82 years (SD 15.41 years). Patient health engagement saw either a significant decrease or a nonsignificant difference in the experimental groups after viewing the blood test results. The mean difference was smaller in the groups that received blood test results with additional text and visualization (mean T0 5.33, SE 0.08; mean T1 5.14, SE 0.09; mean difference 0.19, SE 0.08, P=.02) compared with groups that received blood test results without explanatory text and visualization (mean T0 5.19, SE 0.08; mean T1 4.55, SE 0.09; mean difference 0.64, SE 0.08, P<.001). Adding text and visualization, in particular, reduced the decline in patient health engagement in participants who received normal results or mixed results (ie, combination of normal and abnormal results)., Conclusions: Adding text and visualization features can attenuate the decrease in patient health engagement in participants who receive outcomes of a blood test via a patient portal, particularly when blood test results are (partly) normal. This suggests that explanatory text and visualization can be reassuring. Future research is warranted to determine whether these results can be generalized to a patient population who receive their actual blood test results., (©Bas Struikman, Nadine Bol, Annelijn Goedhart, Julia C M van Weert, Esther Talboom-Kamp, Sanne van Delft, Anne E M Brabers, Liset van Dijk. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.07.2020.)

Background: Consumer mobility is an important aspect of a health insurance system based on managed competition. Both the general population and insured with a chronic illness should enjoy an equal opportunity to switch their insurer every year. We studied possible differences in the rates of switching between these two groups in the Netherlands., Methods: A structured questionnaire was sent to 1500 members of Nivel's Dutch Health Care Consumer Panel (response rate: 47%) and to 1911 chronically ill members of the National Panel of the Chronically ill and Disabled (response rate: 84%) in February 2016. Associations between switching and background characteristics were estimated using logistic regression analyses with interaction effects., Results: In general, we did not find significant differences in switching rates between the general population and chronically ill population. However, a combination of the population and background characteristics demonstrated that young insured with a chronic illness switched significantly less often than young insured from the general population (1% versus 17%)., Conclusions: Our results demonstrated that the group of young people with a chronic illness is less inclined to switch insurer. This observation suggests that this group might either face difficulties or barriers which prevents them from switching, or that they experience a high level of satisfaction with their current insurer. Further research should therefore focus on unravelling the mechanisms which explain the differences in switching rates.

Introduction: With managed competition, selective contracting and the appointing of preferred providers are important instruments for health insurers to improve their bargaining position in the healthcare purchasing market. Insurers can offer enrollees extra services, such as advice about their healthcare, to attract them, ensure that they remain loyal, and to channel them to preferred providers. We investigate which advice services insurers in the Dutch system of managed competition offer enrollees, how they inform them about services, and if enrollees use and appreciate them., Materials and Methods: From November to December 2017, two researchers independently analyzed the websites of all health insurers in the Netherlands. We also conducted a questionnaire study among 1,500 members (response 44.5%, N = 668) of the Nivel Dutch Health Care Consumer Panel., Results and Discussion: All insurers offer one or more services. Most enrollees do not know if their insurer offers advice (67-87% per service). Twelve per cent (N = 76) of the enrollees indicate that they ever made use of a service, mostly regarding the choice of provider (N = 42). Respondents who used healthcare advice were satisfied with it. Of all enrollees, 41% indicate that they would probably/certainly, contact their insurer for advice and 37% would appreciate it if their insurer approached them. Among enrollees, 40% indicated the potential advice has some or a major influence on their choice of insurer., Conclusions: While all insurers offer at least one service, enrollees generally are unaware of them. Only a minority ever made use of such a service. However, a reasonable proportion do appreciate their insurers' advice services and indicate that they would like to have contact with their insurer if they need care. Insurers do not appear to make the best use of the potential for giving healthcare advice and need to think about ways to increase coverage of those services., Competing Interests: The authors have declared that no competing interests exist.

Background: Increasing antibiotic resistance is recognized as a major threat to global health and is related to antibiotic prescription rates in primary care. Shared decision-making (SDM), the process in which patients and doctors participate together in making decisions, is argued to possibly promote more appropriate use of antibiotics and reduce prescribing. However, it is unknown whether in practice fewer antibiotics are prescribed where more SDM takes place., Objectives: To investigate whether more SDM is related to less antibiotic prescribing and whether this relationship differs between subgroups of patients (male/female and age groups)., Patients and Methods: A questionnaire survey was conducted among 2670 members of the Dutch Health Care Consumer Panel to measure SDM (response rate 45%). Average practice-level SDM scores were calculated for 15 general practices. Data from routine electronic health records of 8192 adult patients of these general practices participating in the Nivel Primary Care Database were used to assess relevant illness episodes (acute cough, acute rhinosinusitis and urinary tract infection), the indication for antibiotics and antibiotic prescriptions. Logistic multilevel regression analyses were performed to investigate the relationship between practice-level SDM and patient-level antibiotic prescriptions., Results: In practices where more SDM takes place, general practitioners prescribed fewer antibiotics for adult patients under the age of 40 years in preference-sensitive situations (i.e. situations in which antibiotics could be considered according to clinical guidelines)., Conclusions: SDM can be a framework to reduce the prescribing of antibiotics and thus to control antibiotic resistance.

Background: In the Netherlands, ethnic minority populations visit their general practitioner (GP) more often than the indigenous population. An explanation for this association is lacking. Recently, health literacy is suggested as a possible explaining mechanism. Internationally, associations between health literacy and health care use, and between ethnicity and health literacy have been studied separately, but, so far, have not been linked to each other. In the Netherlands, some expectations have been expressed with regard to supposed low health literacy of ethnic minority groups, however, no empirical study has been done so far. The objectives of this study are therefore to acquire insight into the level of health literacy of ethnic minorities in the Netherlands and to examine whether the relationship between ethnicity and health care use can be (partly) explained by health literacy., Methods: A questionnaire was sent to a sample of 2.116 members of the Dutch Health Care Consumer Panel (response rate 46%, 89 respondents of non-western origin). Health literacy was measured with the Health Literacy Questionnaire (HLQ) which covers nine different domains. The health literacy levels of ethnic minority groups were compared to the indigenous population. A negative binomial regression model was used to estimate the association between ethnicity and GP visits. To examine whether health literacy is an explaining factor in this association, health literacy and interaction terms of health literacy and ethnicity were added into the model., Results: Differences in levels of health literacy were only found between the Turkish population and the indigenous Dutch population. This study also found an association between ethnicity and GP visits. Ethnic minorities visit their GP 33% more often than the indigenous population. Three domains of the HLQ (the ability to navigate the health care system, the ability to find information and to read and understand health information) partly explained the association between ethnicity and GP visits., Conclusions: In general, there are no differences in health literacy between most of the ethnic minority groups in the Netherlands and the indigenous Dutch population. Only the Turkish population scored significantly lower on several health literacy domains. Some domains of health literacy do explain the association between ethnicity and higher frequency of GP visits. Further research is recommended to understand the pathways through which health literacy impacts health care use.