Secondhand smoke exposure in public outdoor spaces in the Netherlands: The stronger the smell, the more exposure to nicotine.

INTRODUCTION: While secondhand smoke exposure in outdoor spaces has been investigated before, no data on outdoor secondhand smoke exposure have been collected in the Netherlands. Such data could help policymakers gain support for smoke-free outdoor public spaces. METHODS: Between May and November 2021, we visited 25 outdoor locations across the Netherlands. At each location, we conducted four measurements with smokers and one measurement without smokers. During each measurement, we counted the number of smokers present and we rated tobacco smell intensity on a five-point scale. Airborne nicotine and 3-ethenylpyridine (3-EP) data were collected through active sampling on thermal desorption tubes. The contents of these tubes were later analyzed using gas chromatography-mass spectrometry. Using linear mixed models, we investigated the association between levels of nicotine and the presence of smokers, the number of smokers, and the intensity of tobacco smell. We also investigated these association with levels of 3-EP. RESULTS: Nicotine levels were higher when smokers were present (B=1.40; 95% CI: 0.69-2.11, p<0.001). For each additional smoker present, we measured higher levels of nicotine (B=0.23; 95% CI: 0.10-0.37, p=0.001). When the smell of tobacco smoke was noted to be stronger by the researchers, higher levels of nicotine were measured through sampling (B=0.85; 95% CI: 0.44-1.26, p<0.001). We found similar results for 3-EP levels. CONCLUSIONS: This study showed that both nicotine and 3-EP are useful in quantifying levels of secondhand smoke in various outdoor locations. The level of nicotine exposure outdoors was positively associated with the number of smokers nearby. The intensity of the tobacco smell was also related to nicotine exposure: the stronger the smell of tobacco smoke, the more nicotine was measured in the air.

The double-edged relationship between COVID-19 stress and smoking: Implications for smoking cessation.

INTRODUCTION: Although recent research shows that smokers respond differently to the COVID-19 pandemic, it offers little explanation of why some have increased their smoking, while others decreased it. In this study, we examined a possible explanation for these different responses: pandemic-related stress. METHODS: We conducted an online survey among a representative sample of Dutch current smokers from 11-18 May 2020 (n=957). During that period, COVID-19 was six weeks past the (initial) peak of cases and deaths in the Netherlands. Included in the survey were measures of how the COVID-19 pandemic had changed their smoking, if at all (no change, increased smoking, decreased smoking), and a measure of stress due to COVID-19. RESULTS: Overall, while 14.1% of smokers reported smoking less due to the COVID-19 pandemic, 18.9% of smokers reported smoking more. A multinomial logistic regression analysis revealed that there was a dose-response effect of stress: smokers who were somewhat stressed were more likely to have either increased (OR=2.37; 95% CI: 1.49-3.78) or reduced (OR=1.80; 95% CI: 1.07-3.05) their smoking. Severely stressed smokers were even more likely to have either increased (OR=3.75; 95% CI: 1.84-7.64) or reduced (OR=3.97; 95% CI: 1.70-9.28) their smoking. Thus, stress was associated with both increased and reduced smoking, independently from perceived difficulty of quitting and level of motivation to quit. CONCLUSIONS: Stress related to the COVID-19 pandemic appears to affect smokers in different ways, some smokers increase their smoking while others decrease it. While boredom and restrictions in movement might have stimulated smoking, the threat of contracting COVID-19 and becoming severely ill might have motivated others to improve their health by quitting smoking. These data highlight the importance of providing greater resources for cessation services and the importance of creating public campaigns to enhance cessation in this dramatic time.

Quit-smoking counselling in Dutch midwifery practices: Barriers to the implementation of national guidelines.

OBJECTIVE: Although smoking during pregnancy can have severe health consequences for the (unborn) child, 9% of Dutch pregnant women smoke at any time during their pregnancy. Midwives in the Netherlands are a responsible party in the provision of quit-smoking counselling for pregnant women by means of the 7-step `V-MIS' intervention, but in practice the implementation appears to be suboptimal. The purpose of the present study was to assess the provision of quit-smoking counselling by midwives, and to clarify the nature and extent of any existing barriers and needs in the provision of quit-smoking counselling in Dutch midwifery settings. METHODS: An online questionnaire to the target population of Dutch midwives (N ≈ 3150) was set out in the spring of 2016. The questionnaire included items on the provision of quit-smoking counselling for pregnant women, and on possible barriers and needs regarding the provision of this counselling. Descriptive statistics were used to analyse weighed data from 135 midwives representative for the Dutch setting in terms of age, function, and region. RESULTS: Eighty-one percent of the midwives inquire about smoking profile (V-MIS step 1) but only 10% go through all the V-MIS counselling steps (i.e. up to discussing postnatal passive smoking and smoke free breastfeeding, step 7). Although 74% of the midwives regard it as their task to provide quit-smoking guidance to pregnant women, 77% perceive referral to a professional as a useful strategy (mostly to the GP; 74%). For 61% of the midwives, their clients' lack of motivation undermines the provision of quit-smoking counselling. Other hindering factors are the perceived lack of free brochures (54%), simple tools or gadgets (51%), and financial consequences for the midwife (37%) and/or the client (22%). CONCLUSION: The smoking cessation intervention strategy currently imposed in Dutch midwifery practices (V-MIS) is being used by midwives, however its implementation may considerably benefit from strengthening skills in motivational interviewing techniques, provision of supporting materials, and structural embedding of GP referral. Based on the study's findings, practical recommendations are made to facilitate the provision of quit-smoking counselling in (international) midwifery settings.

Health care utilization of patients with multiple chronic diseases in the Netherlands: Differences and underlying factors.

PURPOSE: To examine health care utilization of people with multiple chronic diseases in The Netherlands compared to people with a single chronic disease, and to identify subgroups of multimorbid patients according to health care utilization. METHODS: All patients diagnosed with one or more chronic diseases in 2008-2009 (N=54,051) were selected from the nationwide NIVEL Primary Care Database, and data on their GP contacts and medication in 2010 were retrieved. Data on hospital admissions, household size and income were added. Chi-square-tests and multivariate regression analyses were performed to analyze differences between multimorbid patients and patients with a single chronic disease, and between subgroups of multimorbid patients derived from cluster analysis. RESULTS: Multimorbid patients (37% of all patients) had more GP contacts, prescribed medications, and hospital admissions (all p<.0001) than patients with a single chronic disease. The largest cluster of multimorbid patients (57%) had a relatively low level of health care utilization, a smaller cluster (36%) had higher levels of health care utilization, and 7.6% of patients were heavy health care users (p<.0001 for all variables). The latter were older, more often female, had a lower income, lived in a smaller household, had more chronic diseases, and more often had specific chronic diseases such as COPD, diabetes and heart failure. CONCLUSIONS: The majority of multimorbid patients have only slightly higher health care utilization than patients with a single chronic disease. Extensive health care utilization among multimorbid patients seems to be related to patient characteristics as well as chronic disease numbers and patterns.

Modelling intentions to provide smoking cessation support among mental health professionals in the Netherlands.

BACKGROUND: Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals' intentions to help patients stop smoking. METHODS: Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of planned behaviour and literature on habitual behaviour. Data were weighted and only data from staff members with regular patient contact (n = 506) were included. Descriptive statistics of the survey items are presented and in a second step using structural equation modelling (SEM), we regressed the latent variables attitudes, subjective norms (SN), perceived behavioural control (PBC), past cessation support behaviour (PB) and current smoking behaviour on intentions to provide support. In optimisation steps, models comprising a subset of this initial model were evaluated. RESULTS: A sample of 506 mental health workers who had direct contact with patients completed the survey. The majority of them were females (70.0 %), respondents had an average age of 42.5 years (SD = 12.0). Seventy-five percent had at least a BSc educational background. Of the respondents, 76 % indicated that patients should be encouraged more to quit smoking. Respondents were supportive to train their direct colleagues to provide cessation support more often (71 %) and also supported the involvement of mental health care facilities in providing cessation support to patients (69 %). The majority of the respondents feels capable to provide cessation support (66 %). Two thirds of the respondents wants to provide support, however only a minority (35 %) intends to actually do so during the coming year. Next, using SEM an acceptable fit was found of the constructs derived from the theory of planned behaviour and literature on habitual behaviour to the weighted data (χ (2) (322) = 1188, p < .001; RMSEA = 0.067; CFI = 0.983), after removal of insignificant latent variables (SN and current smoking) and inclusion of covariates. Attitudes, PBC and PB of staff are the strongest identified correlates of intention toward providing cessation support to patients. SN and staff smoking behaviour were found to be weaker, non-significant correlates. CONCLUSIONS: To nudge staff towards providing cessation support to people with mental illnesses one should aim at influencing attitudes and perceived behavioural control.

Effectiveness of comprehensive care programs for patients with multiple chronic conditions or frailty: A systematic literature review.

OBJECTIVE: To describe comprehensive care programs targeting multimorbid and/or frail patients and to estimate their effectiveness regarding improvement of patient and caregiver related outcomes, healthcare utilization and costs. METHODS: Systematic search in six electronic databases for scientific papers published between January 2011 and March 2014, supplemented by reference tracking. Wagner's Chronic Care Model (CCM) was used to operationalize comprehensive care. The quality of the included studies was assessed, and a best-evidence synthesis was applied. RESULTS: Nineteen publications were included describing effects of eighteen comprehensive care programs for multimorbid or frail patients, of which only one was implemented in a European country. Programs varied in target groups, settings, interventions and number of CCM components addressed. Providing comprehensive care might result in more patient satisfaction, less depressive symptoms, a better health-related quality of life or functioning of multimorbid or frail patients, but the evidence is insufficient. There is no evidence that comprehensive care reduces the number of primary care or GP visits or healthcare costs. Regarding the use of inpatient care, the evidence was insufficient. No evidence was found for a beneficial effect of comprehensive care on caregiver-related outcomes. CONCLUSION: Despite the fact that over the years several (good-quality) studies have been performed to estimate the value of comprehensive care for multimorbid and/or frail patients, evidence for their effectiveness remains insufficient. More good-quality studies and/or studies allowing meta-analysis are needed to determine which specific target groups at what moment will benefit from comprehensive care. Moreover, evaluation studies could improve by using more appropriate outcome measures, e.g. measures that relate to patient-defined (personal) goals of care.

Health-related quality of life and health care use in cancer survivors compared with patients with chronic diseases.

BACKGROUND: The number of cancer survivors is steadily increasing and these patients often experience long-lasting health problems. To make care for cancer survivors sustainable for the future, it would be relevant to put the effects of cancer in this phase into perspective. Therefore, the authors compared health-related quality of life (HRQOL) and health care use among cancer survivors with that of patients with chronic diseases. METHODS: Patients diagnosed at age >18 years with a cancer with a 5-year survival rate > 20% and no distant metastases at the time of diagnosis and patients aged >18 years with physician-diagnosed somatic chronic diseases without cancer were sent a questionnaire. HRQOL was measured with the RAND-36, a measure of HRQOL. Self-reported health care use was measured for general practitioner care, specialist care, rehabilitative care, physical therapy, ambulatory mental health care, and occupational health care. RESULTS: A total of 601 cancer survivors and 1052 patients with chronic diseases without cancer were included in the current study. Multimorbidity was observed in 63% of the cancer survivors and 61% of the patients with chronic diseases. The HRQOL of the cancer survivors was significantly better than that of patients with chronic diseases after adjustment for age and sex. For the mental functioning subscale, no significant differences were found between the 2 groups. Cancer survivors were found to be less likely to have visited a general practitioner or cardiologist compared with patients with chronic diseases. CONCLUSIONS: When considering physical HRQOL and health care use, cancer survivors appear to fare better than the average patient with chronic diseases. No difference in mental functioning was observed in the current study.

Health-related needs of people with multiple chronic diseases: differences and underlying factors.

PURPOSE: To examine the health-related needs of people with multiple chronic diseases in the Netherlands compared to people with one chronic disease, and to identify different subgroups of multimorbid patients based on differences in their health problems. METHODS: Participants were 1092 people with one or more chronic diseases of a nationwide prospective panel study on the consequences of chronic illness in the Netherlands. They completed the EQ-6D, a multi-dimensional questionnaire on health problems (October 2013). Chi-square tests and analyses of variance were performed to test for differences between multimorbid patients and patients with one chronic disease. To identify subgroups of multimorbid patients, cluster analysis was performed and differences in EQ-6D scores between clusters were tested with Chi-square tests. RESULTS: Multimorbid patients (51 % of the total sample) experience more problems in most health domains than patients with one chronic disease. Almost half (44 %) of the multimorbid people had many health problems in different domains. These people were more often female, had a smaller household size, had a lower health literacy, and suffered from more chronic diseases. Remarkably, a small subgroup of multimorbid patients (4 %, mostly elderly males) is characterized by all having cognitive problems. CONCLUSIONS: Based on the problems they experience, we conclude that patients with multimorbidity have relatively many and diverse health-related needs. Extensive health-related needs among people with multimorbidity may relate not only to the number of chronic diseases they suffer from, but also to their patient characteristics. This should be taken into account, when identifying target groups for comprehensive support programmes.

Health care utilization of patients with multiple chronic diseases in The Netherlands: Differences and underlying factors.

PURPOSE: To examine health care utilization of people with multiple chronic diseases in The Netherlands compared to people with one chronic disease, and to identify different subgroups of multimorbid patients based on differences in health care utilization. METHODS: All patients diagnosed with one or more chronic diseases in 2008-2009 (N=17,443) were selected from the nationwide NIVEL Primary Care Database, and data on their GP contacts were included. Data on hospital admissions (from the Dutch Hospital Data database) and household size and income (from the Integral Household Incomes database 2010) were added. Chi-square-tests and multivariate regression analyses were performed to test for differences between multimorbid patients and patients with one chronic disease, and between subgroups of multimorbid patients derived from cluster analysis. RESULTS: Multimorbid patients (40% of the total sample) had more GP contacts, prescribed medications, and hospital admissions (all p<.0001) than patients with one chronic disease. The largest cluster of multimorbid patients (80%) was characterized by a relatively low level of health care utilization. Two smaller clusters comprised patients with a (very) high level of health care utilization - these people were mainly older, more often female, had a lower income, a smaller household size, and suffered from more chronic diseases. CONCLUSIONS: Among the vast majority of multimorbid patients health care utilization is only slightly higher compared to patients with one chronic disease. Extensive health care utilization among people with multimorbidity seems to be related to patient characteristics as well as illness characteristics.

Illness perceptions of cancer patients: relationships with illness characteristics and coping.

OBJECTIVE: Illness perceptions have proven to be predictive of coping and adjustment in many chronically ill patients. However, insights into illness perceptions of cancer patients are scarce. The purpose of the present study was to explore how a heterogeneous sample of cancer patients perceive their illness. We also examined the relationships between cancer patients' illness perceptions, their illness characteristics, and their coping strategies. METHODS: Participants were 325 cancer patients of a generic nationwide longitudinal panel study among cancer patients in the Netherlands. They completed the revised Illness Perception Questionnaire (Winter 2011/2012) and the Mental Adjustment to Cancer Scale (Spring 2012). Analyses of variance and linear regression analyses were conducted. RESULTS: Patients' views on the chronicity of cancer vary, but many believe their illness to be long-lasting. Furthermore, they strongly believe the cancer treatment to be effective. People with skin cancer experience relatively little negative consequences (p < 0.01). Recently treated patients experience more negative consequences (p < 0.001) and perceive their illness as more chronic (p < 0.01). Surprisingly, neither perceptions of treatment control nor perceptions of personal control are related to specific ways of coping. However, more passive ways of coping were more often found in patients who perceived their illness as long-lasting, more emotionally burdening, and having more negative consequences. CONCLUSIONS: Our findings suggest that cancer patients might benefit more from support to alleviate the perceived severity and threat of their illness rather than from (further) strengthening their control beliefs.