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For Permissions, please email: [email protected] The effect of patient characteristics upon uptake of the influenza vaccination: a study comparing community-based older adults in two healthcare systems VIVIENNE LYNDA SHIRLEY CRAWFORD1, ANN O’HANLON2, HANNAH MCGEE2 1 Geriatric Medicine, The Queen’s University of Belfast, Whitla Medical Building, 97 Lisburn Road, Belfast BT9 7BL, UK Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland 2 Address correspondence to: V. L. S. Crawford. Email: [email protected] Abstract Background: the uptake of influenza vaccination represents a simple marker of proactive care of older people. However, many still do not receive the vaccine. To understand this challenge better, we investigated the relationship between patient characteristics (demographic, physical and psychological health and health service use) and vaccination uptake in a sample of community-dwelling older people in two adjacent but differently structured healthcare systems (Northern Ireland (NI) and the Republic of Ireland (RoI)). Methods: a total of 2,033 randomly selected community-dwelling older adults (65 years and older) were interviewed in their homes. 35 V. L. S. Crawford et al. Results: rates of uptake were 78% in NI and 72% in RoI. The uptake was greater with older age (odds ratio (OR) 1.6, 95% confidence interval (CI) = 1.3–2.1, P < 0.0005), widowhood (OR = 1.5, 95% CI = 1.1–2.3, P = 0.02), living in NI (OR = 0.77, 95% CI = 0.6–0.9, P = 0.04), greater functional impairment (OR RoI 2.0, 95% CI = 0.8–3.5, P = 0.03), more frequent use of family doctor (OR RoI 0.5, 95% CI = 0.3–0.6, P = 0.0001; NI 0.6, 95% CI = 0.4–0.9, P = 0.01) and greater use of services such as chiropody (OR NI 0.6, 95% CI = 0.4–0.9, P = 0.01), meals-on-wheels (OR RoI 1.3, 95% CI = 0.4– 2.2, P = 0.03), social work (OR RoI 1.2, 95% CI = 0.3–1.9, P = 0.05) and occupational therapy (OR RoI 1.3, 95% CI = 0.5–2.5, P = 0.02). Conclusion: the uptake rates in both healthcare systems exceeded targets. Higher rates of vaccination were found among older people, those who were married and those who made greater use of hospital and community services. Increased exposure to health services may enhance trust in health care leading to higher vaccination uptake. Keywords: influenza vaccines, older people, health services evaluation Introduction Influenza vaccination is a beneficial and cost-effective method of reducing and preventing morbidity and mortality among people at increased risk of complications from influenza [1–3]. Uptake of the vaccination represents a simple marker of proactive care of older people. Influenza vaccination has been recommended in the UK since the 1960s. It was first offered to people of all ages with underlying health conditions and to those in institutional settings where rapid spread could occur [1]. In 1998, the programme was extended by the Department of Health for England who recommended routine vaccination for those aged 74 years and older. From 2000, this was further extended to include those aged 65 years and older, regardless of their medical risk [4]. In Northern Ireland (NI), the vaccination programme was aligned with the UK in 2000, and a minimum uptake target of 65% was set. The public were extensively informed about the vaccine. Provision by primary care physicians was reimbursed and was free at the point of care to patients. The Republic of Ireland (RoI) followed the UK in 2006/2007 with guidelines and targets of 65% uptake for those aged 65 years and older [5]. In RoI, a mixed system of reimbursement for primary care physicians exists. During the study, all patients aged 70 years or over were treated free of charge. Those aged 65–69 years either had universal health care (33%) or would have been charged for the vaccination visit to the doctor. Despite the long-standing availability of the vaccine, large variations remain in vaccine uptake across countries. The USA and Spain have good uptake among older adults (averaging 65%), whereas rates in Poland average 18% [6]. Among those aged 65 years and over in the UK, the uptake rates for 2007 were 75%, whereas in RoI the uptake was significantly lower (63%) [7]. The UK has shown an improvement of 7% in uptake since 1996 while the Republic’s improvement was just 0.8%. In RoI, a cohort study of 193 people reported an improved uptake of 24% following invitation to attend for vaccination. This improved a further 8% when followed by a reminder. Overall, an uptake of 74% was achieved [8]. 36 One study found higher uptake among older people, those with chronic disease, those residing in large towns, non-smokers and those with lower self-perceived health [6]. In the UK, the uptake was lower among women, the very old and those in more deprived areas [9]. The finding that men were more likely to receive the vaccination was supported by a later study [10]. Those who were married (or living with others) were also more likely to be vaccinated [10, 11]. Although many studies show some factors related to uptake rates, little concordance exists regarding the influence of common patient characteristics such as age, gender and marital status upon influenza vaccination uptake. Knowledge and beliefs of older people are important in their decisions to have influenza vaccination [12]. Promoting the vaccination on the basis of age can have ‘unintended negative consequences’ among healthy older people whose self-perception of health is challenged by this inadvertent ‘ageism’ [12]. With respect to other influences on vaccination uptake, one study suggested that their reported increase in uptake over a 10-year period was primarily due to the greater intensity and effectiveness of promotion campaigns and a higher participation by health professionals [6]. This idea is widely reported [15, 16] and prompting, particularly from health care providers, was the most significant motivator to attend for vaccination [12]. Patient and physician attitudes have also been reported to have an effect on uptake rates [17]. Those with higher socio-economic status and those with ease of travel to primary care physicians were also more likely to have received the vaccine [9–11]. Receipt of funding to primary care physicians and the setting of targets by the Departments of Health have been the key factors in achieving vaccination. Additionally, the importance of a robust patient record system to assist in patient identification and thus an increase in the uptake of the vaccine has been highlighted [8, 18]. Concerns remain about those who may miss out on this important health promotion service, and whether this ‘absenting’ group is also likely to miss out on other health services. Given the wide coverage of information about the influenza vaccine, media attention to pandemics, avian and swine flu, The effect of patient characteristics upon uptake of the influenza vaccination the free nature of the vaccine to most patients and the potential benefits, it has been suggested that patient characteristics are more important factors predicting uptake [11]. An age-related decline in uptake after the age of 85 years was reported in NI, but medical reasons increased the uptake regardless of age [13]. The suggestion was that older patients resident in elderly care homes were less likely to be vaccinated. These are the very places requiring full coverage [1] given that around 50% of the mortality resulting from influenza is among such residents [14]. An alternative explanation was that the lower uptake rates at older ages resulted from the healthy survivor effect leading to a reduced desire for vaccination [13]. The present study aimed to examine patient characteristics influencing the uptake of influenza vaccination in community-dwelling older adults in two healthcare systems. Specific objectives were: (i) to assess any impact of sociodemographic and health measures on uptake rates (including urban/rural living, smoking status, physical factors and psychological factors); (ii) to examine the relationship between vaccine uptake and use of other services and (iii) to examine the potential impact of vaccine uptake across two healthcare systems. list their understanding of why; not knowing they were entitled to it, not believing it would reduce the risk of influenza, their doctors not suggesting it, already having had influenza the previous year, their doctors indicating they did not need the vaccine, concerns about side effects, previous negative experiences with ‘flu injection’ and any other reason. Physical health Functional disability was assessed using the valid and reliable Health Assessment Questionnaire Disability Index (HAQ-DI) [21, 22]. Scores range from 0 (self-sufficient) to 3 (severely disabled). Psychological health Depressive symptoms were used as an index of psychological health. The widely used seven-item depression subscale of the Hospital Anxiety and Depression scales (HADS-D) performs well in assessing depression severity [23–25]. Higher scores reflect higher levels of depression. Health service use Methods Sample A total of 2,033 people (age range 65–102 years) participated in the study (1,000 NI; 1,033 RoI). Eligible participants (65 years or more) were identified by the Register of Electors (RoI) and postal address files (NI), enabling a random selection of private households. Survey staff conducted interviews in participants’ homes following participants’ written consent, as approved by the institutional research ethics committees. Detailed information on the sample and its similarity to population profiles can be seen elsewhere [19, 20]. For descriptive participant information see Supplementary data available in Age and Ageing online. Data were collected as part of a multidisciplinary Healthy Aging Research Programme, which aimed to examine the experience of health and ageing among community-dwelling older adults in Ireland. Measures Health services used in the past year, both community- and hospital-based, were evaluated. Health screening or promotion activities were also queried ( professional advice on smoking (for smokers) in the past year and blood pressure and cholesterol assessment in the past 3 years). Statistical analysis As is standard with population surveys, the data sets were statistically adjusted or ’re-weighted’ to compensate for the over-representation or under-representation of population subgroups. A satisfactory completion rate and subsequent re-weighting meant that the results could be considered as broadly representative of the general population in NI and RoI. Analyses were carried out using SPSS for Windows and STATA. The χ 2 test was used to examine the univariate relationship between the uptake of influenza vaccine and demographic factors. Multivariate logistic regression was used to examine the effects of health and social services indicators on vaccine; variables controlled in these analyses included age and marital status. Socio-demographic variables Age, gender, education, marital status, smoking status, household income, residence with respect to healthcare system and urban or rural location were recorded. Influenza vaccinations Participants’ receipt of vaccination the previous winter was recorded. Those who were not vaccinated indicated from a Results Socio-demographic and health measures Completion rate for interviews was 68%. The sample (n = 2,033) was broadly representative of the older population profile in each healthcare region with a mean age of 74.1 years (SD 6.8 years) (Supplementary data are available in Age and Ageing online). Forty-three percent were men, 44% 37 V. L. S. Crawford et al. were married and 40% widowed. Typical of this age group in Ireland, only 40% had completed second-level education or above. Forty-three percent lived alone and 36% lived in rural areas. Eighteen percent were current smokers. Three quarters of the sample had been vaccinated the previous year with a significant difference in uptake between the two healthcare systems (n = 1,530, NI 78% versus RoI 72%, P = 0.04). When adjusting for demographic variables, people were more likely to have been vaccinated if they were over 75 years old or if they were widowed (Table 1). No other demographic differences in uptake were found. Using the HAQ-DI, 17% had moderate to severe functional impairment (n = 2,049, NI 25% versus RoI 10%). Using the HADS-D, 20% had borderline/clinical depression (n = 2,027, NI 23% versus RoI 17%). In RoI, there was a greater uptake of vaccination among those with greater functional impairment (odds ratio (OR) 2.0, 95% confidence interval (CI) = 0.8–3.5, P = 0.03). However, other physical and psychological factors did not influence the uptake rates (Supplementary data are available in Age and Ageing online). Reasons for non-uptake were varied; they included ‘didn’t believe it would reduce the risk of getting flu’ (6.6%), ‘concerned about side-effects’ (5.2%) and ‘previous negative experience’ (2.6%). Service use In both NI and RoI, vaccine recipients attended their family doctor more frequently, and were more likely to have had blood pressure and cholesterol checks (Table 2). Hospital service use did not impact on uptake. Vaccination uptake was associated with greater use of chiropody in NI (OR = 0.6, 95% CI = 0.4–0.9, P = 0.01), and in the RoI, meals-on-wheels (OR = 1.3, 95% CI = 0.4– 2.2, P = 0.03), social work (OR = 1.2, 95% CI = 0.3–1.9,P = 0.05) and occupational therapy (OR = 1.3, 95% CI = 0.5–2.5, P = 0.02) (Table 3). Discussion This study found that among community-dwelling older adults in both NI and RoI, influenza vaccination uptake was high (75%). This is among the highest reported levels of uptake for this age group [26] and has reached the target recommended by WHO for 2010. This also contradicts a recent report of low uptake in RoI (46%) in the same age group and urban community [27]; however these researchers had a small sample size. This study is one of the largest of its type and the participation rate (68%) is comparable with other previously published work [10]. It is, however, cross-sectional in design, and thus inferences about associations between receiving vaccination and health outcomes cannot be confirmed; for this, a prospective design is needed. This study identifies a relationship between vaccination uptake, age and widowhood. The relationship between uptake and increased age agrees with some earlier reports [6] and contradicts others [11]. Our observation that widowhood increases uptake is also contradictory to Table 1. Demographic factors associated with receipt of vaccination Socio-demographic variable Received vaccine? % Unadjusted odds ratio P Adjusted odds ratio P No Yes 27 24 73 76 1.1 (0.9–1.4) 0.16 1.0 (0.7–1.3) 0.97 30 19 70 81 1.7 (1.4–2.1) 0.000 1.6 (1.3–2.1) 0.000 30 24 20 70 76 80 Reference 0.70 (0.5–1.0) 0.57 (0.5–0.7) 0.053 0.000 1.3 (0.8–2.1) 1.5 (1.1–2.3) 0.22 0.02 28 21 72 79 1.4 (1.1–1.7) 0.001 0.88 (0.6–1.2) 0.49 26 26 74 74 1.0 (0.8–1.2) 0.99 0.95 (0.7–1.2) 0.69 24 27 76 73 0.86 (0.7–1.0) 0.20 0.87 (0.7–1.1) 0.27 22 28 78 72 0.71 (0.5–0.8) 0.002 0.77 (0.6–0.9) 0.04 .................................................................................... Gender (%) Men (n = 882) Women (n = 1,170) Age (%) ≤74 years (n = 1,095) >75 years (n = 957) Marital status (%) Married (n = 853) Single (n = 225) Widowed (n = 899) Living status (%) Lives with others (n = 1,154) Lives alone (n = 883) Social class Higher (n = 741) Lower (n = 1,268) Home location Urbana (n = 1,265) Rural (n = 755) Geographical location N. Ireland (n = 1000) RoI (n = 1.033) a Defined as areas of 1,500+ people. 38 The effect of patient characteristics upon uptake of the influenza vaccination Table 2. Health care factors associated with receipt of vaccination Socio-demographic variables Northern Ireland Received vaccine? Republic of Ireland No [% (n)] Yes [% (n)] Adjusted odds ratio No [% (n)] Yes [% (n)] Adjusted odds ratio 3.7 (5.2, 0–50) 4.1 (6.2, 0–92) 0.6 (0.4–0.9)a 0.01 3.9 (3.8, 0–24) 5.8 (5.9, 0–84) 0.5 (0.3–0.6)a <0.0001 92 (187) 78 (151) 97 (738) 87 (625) 2.9 (1.3–5.8) 1.9 (1.2–2.9) 0.003 0.003 90 (257) 78 (216) 99 (750) 85 (636) 15.5 (6.1–34.1) 2.0 (1.3–2.8) <0.0001 <0.0001 9 (20) 17 (36) 10 (74) 16 (122) 1.0 (0.6–1.7) 1.0 (0.6–1.4) 0.73 0.83 11 (31) 12 (36) 12 (88) 16 (122) 1.0 (0.6–1.6) 1.2 (0.9–2.0) 0.88 0.24 23 (53) 28 (207) 1.1 (0.8–1.7) 0.14 18 (48) 20 (152) 1.2 (0.9–1.8) 0.25 P Received vaccine? P .................................................................................... General practitioner services Mean number of visits (SD, range) Health promotion services (%) Had blood pressure check Had cholesterol check Hospital service use Emergency department visit Scheduled hospital in-patient stay Scheduled outpatient appointment Adjusted data control for age and marital status. OR represents the proportion of people above and below the mean number of visits for the total sample (mean 4.4, SD 5.7). Therefore, ≤4 visits are compared with 5+ visits to the GP. a Table 3. Health care factors associated with receipt of vaccination Socio-demographic variables Northern Ireland Received vaccine? Republic of Ireland Adjusted odds ratio No [% (n)] Yes [ % (n)] 13 (29) 14 (33) 6 (15) 4 (10) 13 (105) 18 (154) 6 (51) 6 (47) 1.1 (0.7–1.9) 0.7 (0.05–1.2) 1.1 (0.6–2.3) 0.7 (0.3–1.6) 16 (42) 8 (19) 6 (13) 3 (5) 2 (1) 24 (208) 7 (53) 4 (37) 1 (13) 1 (4) 30 (71) 25 (49) 5 (12) 3 (8) 2 (5) 1 (3) P Received vaccine? Adjusted odds ratio P No [% (n)] Yes [% (n)] 0.59 0.27 0.74 0.35 9 (25) 3 (9) 1 (4) 1 (2) 15 (116) 8 (68) 2 (18) 1(13) 1.0 (0.5–1.3) 1.0 (0.5–2.9) 1.3 (0.4–2.2) 1.0 (0.5–2.9) 0.59 0.48 0.03 0.68 0.6 (0.4–0.9) 1.2 (0.7–2.5) 1.4 (0.7–2.8) 1.6 (0.4–4.9) 1.3 (0.1–9.1) 0.01 0.41 0.34 0.40 0.78 7 (24) 1 (2) 4 (12) 1 (4) 1 (4) 19 (142) 2 (12) 6 (43) 2 (12) 1 (11) 0.8 (0.3–0.7) 1.2 (0.3–1.9) 1.1 (0.4–1.7) 1.3 (0.5–2.5) 1.1 (0.6–3.0) 0.39 0.05 0.22 0.02 0.25 36 (287) 26 (191) 8 (63) 6 (43) 0.7 (0.5–1.0) 0.8 (0.5–1.3) 0.6 (0.3–1.3) 0.6 (0.2–1.0) 0.07 0.52 0.24 0.15 20 (58) 14 (38) 2 (6) 4 (13) 26 (189) 13 (98) 7 (55) 3 (29) 1.0 (0.6–1.2) 1.3 (0.7–1.8) 0.5 (0.3–0.9) 1.3 (0.5–2.1) 0.79 0.06 0.92 0.08 2 (19) 2 (15) 0.9 (0.1–2.7) 0.6 (0.3–2.8) 0.84 0.48 1 (3) 1 (2) 2 (12) 0 (1) 1.7 (0.6–5.3) 1.0 (0.1–15.5) 0.19 0.90 .................................................................................... Received in past 12 months Home-delivered services Public health nurse Home help Meals-on-wheels Personal care attendant Therapies Chiropody Social work Physiotherapy Occupational therapy Psychology/counselling Specialist services Optical Dental Aural Dietetic Respite services Respite care as a receiver of care Respite care as a carer Adjusted data control for age and marital status. some earlier reports [10, 11]. Taking into account the work of Evans et al. [12] and Telford and Rogers [28] regarding the patient belief systems and decision-making processes, one explanation is that both increasing age and widowhood are indicators of potential vulnerability. It is possible that older people living alone are more concerned about contracting influenza because of a lack of informal support should they become ill. Additionally, the absence of spousal influence may allow greater influence of healthcare professionals and health promotion activities. With respect to the two regions examined here, possible differences in health perceptions in the two populations may contribute to vaccine uptake. Evans’ suggestion that ‘system values’ are adapted to work with ’patient values’ rather than attempt to override them is relevant to this study where different ‘systems’ operate [12]. Here, increased uptake was associated with functional impairment only in 39 V. L. S. Crawford et al. RoI. This may result from a lifelong relationship between patient and healthcare system and the potential cultural difference where those in RoI are more affected by Evans’ ‘negative consequences’ of targeting the vaccination on an age basis. Reasons for non-uptake of the vaccine were similar in both healthcare systems, although RoI had fewer people ‘concerned about side effects’. Reasons for nonuptake can be summarised by a lack of belief in the vaccine and concerns about side-effects, as found elsewhere [28–30]. The literature also reports an inverse relationship between need and receipt as with other preventive services, and a greater uptake by those in urban areas [10]. We found no difference between urban/rural uptake and a positive relationship between receipt and use of certain other services, particularly in RoI where a more mixed public–private healthcare system operates. In relation to the use of health-related services, we found those in receipt of vaccination to visit their family doctor more frequently. This supports a number of investigators who report increased uptake of vaccination in association with promotion campaigns and participation of health professionals [6, 8, 15, 16]. Holm et al. [26] report that recommendation by the family doctor gives the strongest motivation for vaccine uptake. Our report also highlights the input of other health professionals in both hospital and community services involved in caring for the participants. In conclusion, the present study represents one of the largest samples examined in relation to influenza vaccination uptake. It provides a robust measure of the early attainment of targets for the uptake of the vaccine in both NI and RoI. It also adds to the literature by comparing two healthcare systems on one island as an illustration of the effect of healthcare policy and population differences on influenza vaccination uptake. Cultural differences in the two populations, together with the integration of health and social services in NI, are proposed to have impacted upon uptake. However, there remains uncertainty regarding patient characteristics that may or may not predict influenza vaccination uptake. The decision to receive the vaccination is informed by the experience of influenza and health and illness behaviours. One of the most important of these is trust in modern medicine [28]. The significant findings of this study, where uptake rates increased in conjunction with the use of other hospital and community services, may represent evidence of exposure to and thus increased trust in modern medicine, this in turn leading to increased uptake. The beliefs of each population and influences upon these beliefs are continually changing. Although we currently seek to understand patient characteristics that act as barriers to vaccination uptake, we may in future need to return to a focus on need, as demand for vaccination becomes the norm. The addition of the H1N1 virus to public debate and to the primary care vaccination programme may 40 further influence attitudes and uptake to the regular influenza virus. Key points • The characteristic most associated with greater uptake of influenza vaccine was higher health service use in the previous year. • The characteristics associated with vaccine uptake varied across two adjacent healthcare systems. • Both healthcare systems achieved vaccination rates in excess of their targets. Acknowledgements We thank the research team, Professor James Williams (ESRI) and Dr Donal McDade (Social and Market Research) for coordinating community interviews in the Republic and Northern Ireland, respectively. We thank those who assisted in the focus groups and those who took part in the pilot, test-retest and main studies. We thank other Healthy Aging Research Programme (HARP) staff and Steering Group members who contributed in this research: Prof. Ronan Conroy, Dr Rebecca Garavan, Dr Anne Hickey, Dr Frances Horgan, Dr Karen Morgan, Dr Emer Shelley (RCSI), Dr David Hevey (TCD), Dr Claire Donellan, Prof. Richard Layte (ESRI), Prof. Robert Stout (QUB) and Dr John Dinsmore (QUB). We also sincerely thank research participants for their time and cooperation. We are also grateful to Prof. Paul Baltes (deceased) (Max Planck Institute for Human Development, Germany) and Prof. Marie Johnston (University of Aberdeen, Scotland), who were external advisors to the HARP Programme. Conflicts of interest None declared. Funding This work was supported by a Programme Grant from the Irish Health Research Board [PRO23/2001]. The funder played no role in designing or writing any part of this study and report. Supplementary data Supplementary data mentioned in the text are available to subscribers in Age and Ageing online. 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