Why did patients with cardiovascular disease in the Netherlands accept Q fever vaccination?

Bults, Marloes; Beaujean, Desirée; Wijkmans, C.J.; Timen, Aura; Richardus, Jan Hendrik; Voeten, Hélène

doi:10.1016/j.vaccine.2012.03.056

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…During the study period, women, people aged 45 years or older, people with three or more medicines in use and people with three or more diagnosed diseases received MI more commonly on their medicines than other adult medicine users. These findings are in line with previous cross-sectional studies 23 25 26 40 41. Other previous studies have shown that MI seeking behaviour and the use of MI sources is usually influenced by gender and age, but also education, ethnic background, income, employment, health status and medical history 27 34 39.…”

Section: Discussionsupporting

confidence: 92%

“…We found only one study that compared results from 2 years, covering a 7-year period 47. The consistent findings from the previous studies are that physicians, pharmacists and package leaflets are the most common sources of MI regardless of the research method, the study year, the country and the research population 21–47. Consumers usually sought MI from only one or two information sources 28 34 39 43 44.…”

Section: Introductionsupporting

confidence: 75%

“…Consumers’ health information seeking, including MI seeking from various information sources, has been widely researched 17–20. Previous research on the receipt of MI among the adult population have either (1) focused on particular patient groups such as asthmatics,21 people with cancer,22 cardiovascular diseases,23 HIV/AIDS,24 mental disorders25 or vasculitis26 and pregnant women,27 28 or (2) focused on certain medicine user groups such as users of hormone replacement therapies,29–31 analgesics,32 33 antidepressants,34 antihypertensives,35 cardiovascular medicines36 or psychotropics 37. Previous studies have mostly applied single cross-sectional study designs 38–46.…”

Section: Introductionmentioning

confidence: 99%

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Trends in the receipt of medicines information among Finnish adults in 1999–2014: a nationwide repeated cross-sectional survey

et al. 2019

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ObjectiveThe aim of this study was to examine long-term trends in the receipt of medicines information (MI) among adult medicine users from 1999 to 2014.DesignRepeated cross-sectional postal survey from the years 1999, 2002, 2005 and 2008–2014.SettingEach study year, a new nationally representative sample of 5000 Finns aged 15–64 years was drawn from the Population Register Centre of Finland.ParticipantsThe range of annual respondents varied from 2545 to 3371 and response rates from 53% to 67%. Of the total responses (n=29 465), 64% were from medicine users (n=18 862, ranging by year from 58% to 68%).Outcome measuresReceipt of information on medicines in use within 12 months prior to the survey from a given list of consumer MI sources available in Finland.ResultsPhysicians, community pharmacists and package leaflets were the most common MI sources throughout the study period. Receipt of MI increased most from the Internet (from 1% in 1999 to 16% in 2014), while decreased most from physicians (62% to 47%) and package leaflets (44% to 34%), and remained stable from community pharmacists (46% to 45%) and nurses (14% to 14%). In 1999, of the medicine users 4% did not report receipt of MI from any of the sources listed in the survey, while this proportion had remarkably increased to 28% in 2014.ConclusionsHealthcare professionals and package leaflets had still a dominating importance in 2014 despite the growing number of MI sources over time, but still a minority of adult medicine users reported receiving MI via the Internet in 2014. Worrying is that the proportion of adult medicine users who did not receive MI from any of the sources became seven fold during the study period.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionsupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

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Trends in the receipt of medicines information among Finnish adults in 1999–2014: a nationwide repeated cross-sectional survey

et al. 2019

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“…Indeed, as outbreaks of zoonoses in animals precede human cases, establishment of an active animal surveillance system to detect new cases is essential in providing early warning for veterinary and human public health authorities. The Q fever outbreak in The Netherlands illustrated that; in spite of the number of slaughtered goats, the government was blamed for the delay to implement the monitoring of bulk tank milk and for having taken more account of the interests of the farmers than of public health (Bults et al, 2012), because the farmers were compensated, but the patients with chronic Q fever were not, while some of them had lost their work.…”

Section: Discussionmentioning

confidence: 99%

Zoonotic risks from small ruminants

Ganter

2015

Veterinary Microbiology

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“…Women were underrepresented in referral and screening for Q fever-vaccination. An explanation might be that they have milder (asymptomatic) cardiovascular defects or were less receptive to be referred for vaccination [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

Coverage of the 2011 Q Fever Vaccination Campaign in the Netherlands, Using Retrospective Population-Based Prevalence Estimation of Cardiovascular Risk-Conditions for Chronic Q Fever

et al. 2015

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BackgroundIn 2011, a unique Q fever vaccination campaign targeted people at risk for chronic Q fever in the southeast of the Netherlands. General practitioners referred patients with defined cardiovascular risk-conditions (age >15 years). Prevalence rates of those risk-conditions were lacking, standing in the way of adequate planning and coverage estimation. We aimed to obtain prevalence rates retrospectively in order to estimate coverage of the Q fever vaccination campaign.MethodsWith broad search terms for these predefined risk-conditions, we extracted patient-records from a large longitudinal general-practice research-database in the Netherlands (IPCI-database). After validation of these records, obtained prevalence rates (stratified for age and sex) extrapolated to the Q fever high-incidence area population, gave an approximation of the size of the targeted patient-group. Coverage calculation addressed people actually screened by a pre-vaccination Q fever skin test and serology (coverage) and patients referred by their general practitioners (adjusted-coverage) in the 2011 campaign.ResultsOur prevalence estimate of any risk-condition was 3.1% (lower-upper limits 2.9-3.3%). For heart valve defects, aorta aneurysm/prosthesis, congenital anomalies and endocarditis, prevalence was 2.4%, 0.6%, 0.4% and 0.1%, respectively. Estimated number of eligible people in the Q fever high-incidence area was 11,724 (10,965-12,532). With 1330 people screened for vaccination, coverage of the vaccination campaign was 11%. For referred people, the adjusted coverage was 18%. Coverage was lowest among the very-old and highest for people aged 50–70 years.ConclusionThe estimated coverage of the vaccination campaign was limited. This should be interpreted in the light of the complexity of this target-group with much co-morbidity, and of the vaccine that required invasive pre-vaccination screening. Calculation of prevalence rates of risk-conditions based on the IPCI-database was feasible. This procedure proved an efficient tool for future use, when prevalence estimates for policy, implementation or surveillance of subgroup-vaccination or other health-care interventions are needed.

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Why did patients with cardiovascular disease in the Netherlands accept Q fever vaccination?

Cited by 9 publications

References 30 publications

Trends in the receipt of medicines information among Finnish adults in 1999–2014: a nationwide repeated cross-sectional survey

Trends in the receipt of medicines information among Finnish adults in 1999–2014: a nationwide repeated cross-sectional survey

Zoonotic risks from small ruminants

Coverage of the 2011 Q Fever Vaccination Campaign in the Netherlands, Using Retrospective Population-Based Prevalence Estimation of Cardiovascular Risk-Conditions for Chronic Q Fever

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