ABSTRACT
This study investigated the associations between illness representations of pneumonia and pneumococcal vaccination (PV) uptake among a group of community-living aging adults having at least one high-risk condition for severe invasive pneumococcal diseases (IPD). A total of 750 community-living Chinese-speaking individuals aged ≥65 y completed a random telephone survey. This study was based on 483 participants having at least one high-risk condition for severe IPD. The Illness Representation Questionnaire-Revised (IPQ-R) measured four dimensions of illness representations. These dimensions included timeline (whether pneumonia is believed to be acute/chronic), consequences (severity of pneumonia), treatment control (whether pneumonia is under volitional control), and emotional response (anger, guilty, or shame). Using PV uptake (among all participants) and behavioral intention to take up PV (among unvaccinated participants) as the dependent variables, logistic regression models were fitted. Among all participants (n = 483), 17.8% reported PV uptake; 18.6% of unvaccinated participants (n = 397) intended to take up two doses of free PV in the next year. After adjustment for significant background variables, participants who perceived more severe consequences of pneumonia (adjusted odds ratios, AOR: 1.18, 95%CI: 1.01, 1.40) and belief that treatment can control pneumonia (AOR: 1.41, 95%CI: 1.25, 1.58) reported higher PV uptake. Perceived pneumonia to be chronic (AOR: 1.44, 95%CI: 1.16, 1.78), belief that treatment can control pneumonia (AOR: 1.25, 95%CI: 1.12, 1.40) and having negative emotions related to pneumonia (AOR: 1.17, 95%CI: 1.09, 1.25) were positively associated with behavioral intention to take up PV. Results confirmed that illness representations were associated with PV-related behaviors.
KEYWORDS: Illness representations on pneumonia, pneumococcal vaccination, community-living elderly, random telephone survey, china
Introduction
Streptococcus pneumoniae is the most common cause of community-acquired pneumonia.1 It causes noninvasive diseases such as otitis media, sinusitis, and pneumonia in most patients.1 It can also cause invasive pneumococcal diseases (IPD), such as sepsis, meningitis, and bacteremic pneumonia.1 In Hong Kong, China, pneumonia is the second leading cause of death in 2018 (n = 8,334), accounting for 17.6% of all registered deaths.2 Individuals aged ≥65 y are at much higher risk of pneumococcal diseases (PD) and IPD and had the highest risk of death from IPD;3,4 39.6% (75/189) of IPD were reported in this age group in 2018.5 Aging adults with some chronic conditions, such as history of IPD, immunocompromised states, chronic diseases, or cochlear implant are more vulnerable to severe IPD compared to those without these chronic conditions.6 Moreover, individuals aged ≥65 y are more susceptible to severe cases and deaths caused by seasonal influenza compared to their younger counterparts.7 Secondary bacterial pneumonia (mostly caused by Streptococcus pneumoniae) are estimated to account for up to 50% of deaths during seasonal influenza.8–10
The 13-valent pneumococcal conjugate vaccines (PCV13) and the 23-valent pneumococcal polysaccharide vaccine (23vPPV) are effective in preventing vaccine-type community-acquired pneumonia (vaccine efficacy: 45.6% for PCV13 and 44.8% for 23vPPV), pneumococcal pneumonia (vaccine efficacy for PCV13: 63.8%) and vaccine-type IPD (vaccine efficacy: 75% for PCV13 and 65% for 23vPPV) among individuals aged ≥65 y.11–13 Furthermore, receiving pneumococcal vaccination (PV) can prevent additional hospitalization and deaths due to seasonal influenza in elderly.14 Both types of PV are available in Hong Kong and their safety is well documented.15 One study projected that the provision of free PV would result in a savings of US$18.0 million in health expenditures at a population level in Hong Kong.16 Therefore, provision of free PV to aging adults is likely cost-effective. In line with other international health guidelines, individuals aged ≥65 y in Hong Kong with at least one high-risk condition listed by the Department of Health but who have not received any PV are recommended to receive one dose of PCV13 followed by one dose of 23vPPV after 1 y.6 Those without high-risk conditions are recommended by the Department of Health to receive only a single dose of PCV13 or 23vPPV.
In 2017, the Vaccination Subsidy Scheme and Government Vaccination Program were launched in Hong Kong. All community-living Hong Kong residents aged ≥65 y are eligible to receive subsidized PV (PCV13: HK$730 (US$94.2)/dose; 23vPPV: HK$190 (US$24.5)/dose) at enrolled private clinics. Those with high-risk conditions are eligible for free PV at public clinics.6 However, in Hong Kong, PV uptake was only 17.8% and 16.5% among community-living aging adults with and without high-risk condition of severe IPD, respectively, indicating the significant need for health promotion among this population.17
Previous studies have found a number of factors associated with PV uptake specifically among community-living individuals aged ≥65 y in other settings. Associated factors included socio-demographics (e.g., age, gender, household income, health insurance, and living arrangement),18 presence of comorbid conditions (e.g., chronic cardiovascular or respiratory diseases, diabetes mellitus, asthma) and lifestyle risk factors (e.g., smoking),19 and history of influenza vaccination. Knowledge and perceptions related to PV (e.g., awareness of PV and PV recommendations for aging adults, perceived efficacy, and safety concerns for PV).17,18,20,21 However, there is a dearth of studies investigating how aging adults conceptualize pneumonia and whether such perceptions and beliefs influence PV uptake.
Illness representations refer broadly to how people think about a disease or health condition. Growing evidence suggests that illness representation is important in explaining health behaviors. According to Leventhal’s Common-Sense Model of Self-Regulation, individuals construct schematic representations of illness based on available information.22 This model suggests that a health threat (i.e., pneumonia) activates two types of illness representations: cognitive representations for regulating the objective threat and emotional representations to regulate emotions (e.g., anxiety and fear) arising as a result of the threat. Both types of illness representations guide the coping strategies used by an individual to deal with the health threat. Cognitive representations have six dimensions, including 1) identity (labeling the illness and identifying the symptoms), 2) cause (attributing likely causes of the illness), 3) timeline (considering whether the illness is acute/chronic), 4) consequences (assessing the severity of the illness), 5) treatment and personal control (considering whether the illness is under volitional control), and 6) illness coherence (overall comprehensibility of the illness). Emotional representations are defined as the extent to which individuals are emotionally affected by the illness (e.g., feeling anger, guilt, or shame).23 This concept has also been expanded to explain health behaviors among healthy individuals, including uptake of influenza vaccination,24–26 hepatitis C virus testing,27 cancer screening,28 and self-care practices for chronic diseases.29,30 There is a dearth of studies investigating illness representations on pneumonia and association with PV uptake, a potential coping response. Since illness representations are modifiable through interventions,31 understanding aging adults’ perceptions and beliefs of pneumonia can inform PV promotion efforts.
To the best of our knowledge, there are no studies investigating the association between illness representation and PV uptake among community-living Chinese aging adults. To address this gap, this study investigated prevalence of PV uptake and behavioral intention to receive two doses of free PV among a random sample of Hong Kong community-living aging adults with at least one high-risk condition for severe IPD, and associations with socio-demographic characteristics and illness representations related to pneumonia.
Methods
Participants and data collection
The current study is secondary analysis of a random telephone survey investigating PV uptake among community-living individuals aged ≥65 y in Hong Kong that was undertaken from May to July 2019.17 Participants of the random telephone survey were community-living Chinese-speaking individuals aged ≥65 y and had a Hong Kong ID card. Those who were not able to communicate effectively with the interviewers were excluded.
The random telephone survey was conducted by trained interviewers. Telephone numbers were selected from up-to-date Hong Kong telephone directories. Telephone interviews were conducted between 6:00–10:00 pm on weekdays and 2:00–9:00 pm on Saturdays during May to July 2019. If no one in the household answered the initial call, four more follow-up calls were made at different hours and days before it was considered as a non-valid household (one without an eligible participant). If there was more than one person in the household who was aged ≥65 y, the one whose last birthday was closest to the date of the interview was invited to join the study. Prospective eligible participants were briefed about the study. Interviewers confirmed that participants would remain anonymous, had the right to end participation in the study at any time, and that refusal would not have any consequences. Verbal instead of written informed consent was obtained. The interviewers signed a form pledging that the participants were fully informed about the study. The interview took about 20 minutes to complete. No incentive was provided to the participants. Ethics approval was obtained from the survey and behavioral research ethics committee of the Chinese University of Hong Kong (Reference No. SBRE-19-183).
Measures
Development of the questionnaire
A panel consisting of one public health researcher, one expert in behavioral health, one expert of pneumococcal diseases and vaccination, and one health psychologist was formed to design the questionnaire. The questionnaire was piloted among 20 eligible aging adults to examine its clarity and readability. Based on comments from pilot testing, the panel refined the questionnaire.
Background characteristics
Information collected included socio-demographics (age, gender, highest education level attained, marital status, current employment status, monthly household income, whether they lived alone) and lifestyle factors (smoking and binge drinking in the past year). Participants were also asked if they were receiving the Comprehensive Social Security Assistance (CSSA), which is a government social welfare scheme providing financial support to low-income people to meet basic needs. Participants were also asked about history of high-risk conditions for severe IPD listed by the Department of Health,6 history of pneumonia, and history of influenza vaccination.
PV uptake and behavioral intention to take up PV
History and number of doses of PV taken up by the participants were asked. Participants who had never received PV were briefed with the following: “In addition to pneumonia, Streptococcus pneumoniae causes severe diseases such as sepsis and meningitis. Taking up PV could reduce the risk of having these severe diseases by 65–75% among individuals aged ≥65 years.” Participants were then asked about their likelihood of taking up two doses of free PV at public hospitals or clinics in the next year (response categories: 1 = very unlikely, 2 = unlikely, 3 = neutral, 4 = likely, 5 = very likely). We dichotomized the responses and defined behavioral intention as “likely” or “very likely.”
Illness representations on pneumonia
The Illness Representation Questionnaire-Revised (IPQ-R) was used to measure participants’ illness representations on pneumonia.32 The original IPQ-R had nine subscales: identity, consequences, timeline-chronic, timeline-cyclical, illness coherence, emotional representation, personal control, treatment control, and causal attribution. A Chinese version of the IPQ-R was validated and had satisfactory psychometric properties.33 Due to the limited length of the questionnaire, four subscales were used in this study. These subscales were adapted by replacing “illness” in the original IPQ-R with “pneumonia.” These subscales included 1) timeline-chronic (considering whether pneumonia is chronic, 5 items), 2) consequences (assessing the severity of pneumonia, 6 items), 3) treatment control (considering whether pneumonia can be controlled by existing treatment, 5 items), and 4) emotional representations (feeling of anger, anxiety, or depression related to pneumonia, 6 items). These subscales were chosen because they were found to be significant predictors of health-related behaviors in previous studies.24,34 Items of these subscales were rated on a 5-point Likert Scale from 1 = strongly disagree to 5 = strongly agree. Higher scores on timeline-chronic, consequences, and emotional representations indicated more negative illness representations, while a higher score on treatment control indicated more positive illness representations.
Data analysis
Descriptive data were presented for all studied variables. Using PV uptake (among all participants) and behavioral intention to take up two doses of free PV at public hospitals or clinics in the next year (among unvaccinated participants) as dependent variables, crude odds ratios (OR) for the associations between background-independent variables and the dependent variables were estimated. Those background variables with p < .05 in the univariate analysis were adjusted for in subsequent multiple logistic regression analysis involving illness representations on pneumonia. Adjusted odds ratios (AOR) and respective 95% confidence intervals (CI) were derived from these analyses. SPSS version 16.0 was used for data analysis, with p < .05 indicating statistical significance.
Results
Background characteristics of the participants
A total of 1183 eligible participants were invited to join the study, 750 (response rate: 63.4%) completed the anonymous telephone survey. This study was based on 483 participants self-reporting as having at least one high-risk condition for IPD listed by the Department of Health.6 Most participants were more than 70-y old (63.6%), female (59.8%), without secondary education (84.5%), married or cohabitating with a partner (70.2%), with monthly income level lower than HK$20,000 (US$2,581) or receiving CSSA (96.9%), and living with another person (82.8%). Very few reported smoking (0.2%) or binge drinking (0.2%) in the past year. Chronic cardiovascular diseases (93.4%) and diabetes mellitus (28.8%) were the most commonly reported high-risk conditions for IPD. Over half had ever received seasonal influenza vaccination (53.8%). (Table 1)
Table 1.
|
n |
% |
Socio-demographics | ||
Age group (years) | ||
65–70 | 176 | 36.4 |
70–80 | 172 | 35.6 |
≥80 | 135 | 28.0 |
Gender | ||
Male | 194 | 40.2 |
Female | 289 | 59.8 |
Highest education level attained | ||
Primary school or lower | 408 | 84.5 |
Secondary school | 61 | 12.6 |
High diploma/undergraduate or higher | 14 | 2.9 |
Marital status | ||
Married/cohabitation | 339 | 70.2 |
Unmarried/divorced/widowed | 144 | 29.8 |
Current employment status | ||
Full-time/part-time | 18 | 3.7 |
Unemployed/retired/housewives | 465 | 96.3 |
Monthly household income (HK$) | ||
Receiving CSSA | 32 | 6.6 |
<20,000 | 436 | 90.3 |
≥20,000 | 15 | 3.1 |
Living alone | ||
No | 400 | 82.8 |
Yes | 83 | 17.2 |
Lifestyles | ||
Cigarette smoking in the past year | ||
No | 482 | 99.8 |
Yes | 1 | 0.2 |
Binge drinking in the past year | ||
No | 482 | 99.8 |
Yes | 1 | 0.2 |
Self-reported history of high-risk conditions listed by the Department of Health (% Yes) | ||
Invasive pneumococcal diseases (IPD) | 2 | 0.4 |
Cerebrospinal fluid leakage | 2 | 0.4 |
Chronic cardiovascular diseases | 451 | 93.4 |
Chronic lung diseases | 1 | 0.2 |
Chronic liver diseases | 0 | 0.0 |
Chronic kidney diseases | 5 | 1.0 |
Diabetes Mellitus | 139 | 28.8 |
Immunocompromised states | 1 | 0.2 |
Number of high-risk conditions listed by Department of Health | ||
1 | 336 | 69.6 |
2 | 118 | 24.4 |
≥3 | 29 | 6.0 |
History of pneumonia and vaccination | ||
History of pneumonia | 479 | 99.2 |
No | 4 | 0.8 |
Yes | ||
Family member/friend had history of pneumonia | ||
No | 479 | 99.2 |
Yes | 4 | 0.8 |
Uptake of seasonal influenza vaccination | ||
No | 223 | 46.2 |
Yes | 260 | 53.8 |
Number of doses of PV taken up by elderly individuals with at least one high-risk conditions listed by the Department of Health (n = 483) | ||
0 | 397 | 82.2 |
1 | 55 | 11.4 |
2 | 31 | 6.4 |
Behavioral intention to take up two doses of free PV at public hospitals/clinics in the next year (among those who had never received PV, n = 397) | ||
Very unlikely/unlikely/neutral | 323 | 81.4 |
Likely/very likely | 74 | 18.6 |
CSSA: Comprehensive Social Security Assistance
PV uptake and behavioral intention to take up PV
Among the participants, 17.8% had taken up any dose of PV, and 6.4% had taken up two doses of PV. Among those who had never received PV (n = 397), 18.6% intended to take up two doses of free PV at public hospitals or clinics in the next year (Table 1).
Illness representations on pneumonia
Item responses and scale scores of illness representations on pneumonia are shown in Table 2. The Cronbach’s alpha of these four subscales ranged from 0.627 to 0.926, single factors for each subscale were identified by exploratory factor analysis, explaining 66.4% to 77.5% of total variances.
Table 2.
|
% |
Mean (SD) |
Timeline-chronic (considering whether pneumonia is chronic) (% agree/strongly agree) | ||
Pneumonia will last a short time (R) | 4.6 | |
Pneumonia is likely to be permanent rather than temporary | 3.5 | |
Pneumonia will last for a long time | 7.5 | |
Pneumonia will pass quickly (R) | 3.5 | |
Pneumococcus will exist in my body for the rest of my life | 0.8 | |
Timeline (Mean/SD) | 14.9 (1.3) | |
Consequence (assessing the severity of pneumonia) (% agree/strongly agree) | ||
Pneumonia is a serious condition | 15.9 | |
Pneumonia has major consequences on my life | 7.5 | |
Pneumonia does not have much effect on my life (R) | 3.9 | |
Pneumonia strongly affects the way others see me | 1.7 | |
Pneumonia has serious financial consequences | 10.8 | |
Pneumonia causes difficulties for those who are close to me | 14.7 | |
Consequence (Mean/SD) | 18.3 (1.7) | |
Treatment control (considering whether pneumonia can be controlled by existing treatment) (% agree/strongly agree) | ||
There is very little that can be done to cure pneumonia (R) | 2.1 | |
Treatment will be effective in curing pneumonia | 22.2 | |
The negative effects of pneumonia can be avoided by treatment | 22.4 | |
Treatment can control pneumonia | 24.2 | |
There is nothing which can help for curing pneumonia (R) | 2.9 | |
Treatment control (Mean/SD) | 16.2 (2.4) | |
Emotional representation (negative feeling due to pneumonia) (% agree/strongly agree) | ||
I get depressed when I think about pneumonia | 38.1 | |
When I think about pneumonia, I get upset | 35.6 | |
Pneumonia makes me feel angry | 17.8 | |
Pneumonia does not worry me (R) | 6.4 | |
Having pneumonia makes me feel anxious | 28.4 | |
Pneumonia makes me feel afraid | 39.3 | |
Emotional representation (Mean/SD) | 18.3 (4.5) |
R: reverse scoring, SD: standard deviation
Items of the subscales on timeline-chronic, consequences, treatment control, and emotional responses were rated on a 5-point Likert Scale (1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, and 5 = strongly agree).
Higher scores on timeline-chronic, consequences and emotional representation indicated more negative illness representations. Higher score on treatment control indicated more positive illness representations.
Factors associated with PV uptake
In univariate analysis, older age (70–80 y: OR: 2.16, 95%CI: 1.21, 3.86; reference group: 65–70 y), higher education level attained (secondary school: OR: 2.17, 95%CI: 1.18, 3.99; reference group: primary school or below), and seasonal influenza vaccination uptake were associated with higher uptake of PV (OR: 107.83, 95%CI: 14.87, 782.06). Those who were married or cohabitating with a partner were less likely to take up PV compared to single participants (OR: 0.57, 95%CI: 0.33, 0.99). After adjustment for these variables, belief that treatment can control pneumonia (AOR: 1.18, 95%CI: 1.01, 1.40) and perceived consequences of pneumonia to be severe (AOR: 1.41, 95%CI: 1.25, 1.58) were associated with higher uptake of PV (Table 3–4).
Table 3.
Uptake of at least one dose of PV (n = 483) |
Behavioral intention to take up two doses of free PV at public clinics/hospitals in the next year (n = 397) |
|||
---|---|---|---|---|
Row% | OR (95%CI) | Row% | OR (95%CI) | |
Socio-demographics | ||||
Age group (years) | ||||
65–70 | 11.9 | 1.0 | 20.6 | 1.0 |
70–80 | 22.7 | 2.16 (1.21, 3.86)** | 18.8 | 0.89 (0.50, 1.60) |
≥80 | 19.3 | 1.76 (0.94, 3.29)† | 15.6 | 0.71 (0.37, 1.36) |
Gender | ||||
Male | 20.1 | 1.0 | 16.1 | 1.0 |
Female | 16.3 | 0.77 (0.48, 1.24) | 20.2 | 1.32 (0.78, 2.24) |
Highest education level attained | ||||
Primary school or lower | 16.2 | 1.0 | 16.4 | 1.0 |
Secondary school | 29.5 | 2.17 (1.18, 3.99)* | 32.6 | 2.47 (1.23, 4.96)* |
High diploma/undergraduate or higher | 14.3 | 0.86 (0.19, 3.95) | 33.3 | 2.55 (0.74, 8.77) |
Marital status | ||||
Unmarried/divorced/widowed | 20.1 | 1.0 | 21.8 | 1.0 |
Married/cohabitation | 12.5 | 0.57 (0.33, 0.99)* | 11.9 | 0.49 (0.26, 0.90)* |
Current employment status | ||||
Unemployed/retired/housewives | 5.6 | 1.0 | 29.4 | 1.0 |
Full-time/part-time | 18.3 | 3.80 (0.50, 28.97) | 18.2 | 0.53 (0.18, 1.56) |
Monthly household income (HK$) | ||||
Receiving CSSA | 9.4 | 1.0 | 17.2 | 1.0 |
<20,000 | 18.3 | 2.17 (0.65, 7.31) | 18.5 | 1.09 (0.40, 2.97) |
≥20,000 | 20.0 | 2.42 (0.43, 13.71) | 25.0 | 1.60 (0.32, 8.11) |
Living alone | ||||
No | 19.3 | 1.0 | 18.3 | 1.0 |
Yes | 10.8 | 0.51 (0.25, 1.06)a | 20.3 | 1.14 (0.60, 2.14) |
Lifestyles | ||||
Cigarette smoking in the past year | ||||
No | 17.8 | 1.0 | 18.7 | 1.0 |
Yes | 0.0 | N.A. | 0.0 | N.A. |
Binge drinking in the past year | ||||
No | 17.8 | 1.0 | 18.7 | 1.0 |
Yes | 0.0 | N.A. | 0.0 | N.A. |
History of pneumonia and influenza vaccination | ||||
History of pneumonia | ||||
No | 17.7 | 1.0 | 18.5 | 1.0 |
Yes | 25.0 | 1.55 (0.16, 15.04) | 33.3 | 2.20 (0.20, 24.57) |
Family member/friend had history of pneumonia | ||||
No | 17.7 | 1.0 | 18.5 | 1.0 |
Yes | 25.0 | 1.55 (0.16, 15.04) | 33.3 | 2.20 (0.20, 24.57) |
Uptake of seasonal influenza vaccination | ||||
No | 0.4 | 1.0 | 15.3 | 1.0 |
Yes | 32.7 | 107.83 (14.87, 782.06)*** |
22.9 | 1.64 (0.99, 2.72)† |
Number of high-risk conditions listed by Department of Health | ||||
1 | 20.5 | 1.0 | 18.4 | 1.0 |
2 | 13.6 | 0.61 (0.34, 1.10)† | 21.6 | 1.22 (0.70, 2.15) |
≥3 | 3.6 | 0.14 (0.02, 1.07)† | 11.1 | 0.56 (0.16, 1.92) |
OR: crude odds ratios
a0.05 < p < 0.10, *P < 0.05, **P < 0.01, ***P < 0.001
Table 4.
Uptake of at least one dose of PV (n = 483) |
Behavioral intention to take up two doses of free PV at public clinics/hospitals in the next year (n = 397) |
|||
---|---|---|---|---|
OR (95%CI) | AOR (95%CI) | OR (95%CI) | AOR (95%CI) | |
Timeline-chronic | 1.21 (0.99, 1.47)a |
1.24 (0.97, 1.58)a |
1.54 (1.23, 1.89)*** |
1.44 (1.16, 1.78)** |
Consequence | 1.18 (1.03, 1.35)* |
1.18 (1.01, 1.40)* |
0.92 (0.79, 1.07) |
– |
Treatment control | 1.35 (1.24, 1.47)*** |
1.41 (1.25, 1.58)*** |
1.29 (1.17, 1.43)*** |
1.25 (1.12, 1.40)*** |
Emotional representation | 1.05 (1.00, 1.11)* |
1.06 (0.98, 1.14) |
1.15 (1.08, 1.22)*** |
1.17 (1.09, 1.25)*** |
OR: crude odds ratios
AOR: odds ratios adjusted for significant background variables listed in Table 3.
a0.05 < p < 0.10, *P < 0.05, **P < 0.01, ***P < 0.001
P > 0.05 in univariate analysis and not considered in the model
Factors associated with behavioral intention to take up PV
Among those who had never received PV, highest education level attained (secondary school: OR: 2.47, 95%CI: 1.23, 4.96; reference group: primary school or below) and being married or cohabitating with a partner (OR: 0.49, 95%CI: 0.26, 0.90) were significantly associated with behavioral intention to take up two doses of free PV at public hospitals or clinics in the next year. After adjusting for these two variables, perception of pneumonia as a chronic disease (AOR: 1.44, 95%CI: 1.16, 1.78), consequence of pneumonia to be severe (AOR: 1.25, 95%CI: 1.12, 1.40), and having negative emotional representations of pneumonia (AOR: 1.17, 95%CI: 1.09, 1.25) were more likely to have behavioral intention to take up PV (Table 3–4).
Discussion
Although free PV is provided by government programs to community-living aging adults with high-risk conditions of IPD, very few have received PV, and even fewer completed two doses of PV as recommended by the Department of Health.6 This prevalence was much lower than that of the United States (64.0–74.7%),35 Canada (58.0%)36 or Australia (43.2–72.8%).37 Moreover, less than 20% of unvaccinated participants had behavioral intention to take up free PV in the next year. Since only 43–62% of those with a behavioral intention would eventually translate the intention into a relevant action,38 very few would actually take up PV. Our findings indicate the significant need for health promotion for this population, even given the availability of free PV.
Similar to findings of previous studies, history of seasonal influenza vaccination was associated with higher PV uptake.17,18,20 Given the fact that secondary and co-infection of pneumonia (mostly caused by Streptococcus pneumoniae) during seasonal influenza is common and associated with higher risk of death, future programs should simultaneously promote PV and seasonal influenza. Aging adults with higher education levels were more receptive to the governmental PV program, as they reported higher PV uptake and higher behavioral intention to take up PV compared to those with lower education levels. These findings are expected as those with higher education levels can better understand health communication messages delivered by the governmental program. Since a large proportion of aging adults in Hong Kong did not receive secondary education, health communication messages promoting PV should be simple and straightforward. In particular, pilot testing of health communications messages among aging adults with low education levels is necessary. Additionally, married or cohabitating with a partner was associated with lower PV uptake and lower behavioral intention to take up PV. Future studies should explore partner’s influences on vaccination behaviors among aging adults.
The Common-Sense Model of Self-Regulation suggests that illness representations are amenable through interventions.22 Our findings highlight the potential to modify illness representations of pneumonia to promote PV uptake among aging adults with high-risk conditions for IPD. In terms of timeline, very few participants considered pneumonia to be a chronic disease. This finding was expected as prior research found that Chinese participants perceived pneumonia as an acute illness.39 The association between perception of a chronic timeline and PV uptake was of marginal statistically significance. Perception of a chronic timeline of pneumonia was also associated with higher behavioral intention to take up PV among unvaccinated participants. It is possible that aging adults believe that a chronic timeline results in an extended period of suffering, and necessitating the need prevent such suffering from happening (i.e., by taking up PV). Future health promotion related to PV uptake should emphasize the potentially lengthy recovery period from pneumonia for aging adults, especially those who have additional chronic conditions.40 Although effective treatments are available,41 only about 20% of the participants agreed that pneumonia could be controlled by existing treatments. The dimension of treatment control was associated with both PV uptake among all participants and behavioral intention to take up PV among unvaccinated aging adults. In general, treatment control is significantly associated with uptake of seasonal influenza vaccination,24 hepatitis C virus testing,27 and treatment adherence to some chronic diseases (e.g., asthma, hypertension).29 Beliefs in treatment control of pneumonia may be related to perceived efficacy of PV, which has shown to be significantly associated with behaviors and intentions related to PV.21 Similar to previous findings,42,43 severe consequences of pneumonia were neglected by the participants. Higher scores on the dimension of “consequence” were associated with higher uptake of hepatitis C virus testing. However, the association between this dimension and behavioral intention to take up PV was non-significant among unvaccinated participants. Emphasizing the severity of consequences of pneumonia may not be a useful strategy to motivate unvaccinated aging adults to take up PV.
In our study, pneumonia strongly elicited negative emotions among participants. The importance of these negative emotions is illustrated by the significant association between negative emotions related to pneumonia and behavioral intention to take up PV among unvaccinated participants. A similar association was found between emotional representations and behavioral intention to take up seasonal influenza vaccination among the general population in Hong Kong.24 To promote PV, it may be useful to promote positive coping strategies that are designed to reduce the negative emotions associated with pneumonia among elderly. It is possible to guide those with high levels of negative emotions to take up PV as a positive coping response, hence transferring negative emotions into preventive health behaviors.
Limitations
This study had some limitations. First, non-response may introduce selection bias. Our response rate was relatively high (63.4%) as compared to other random telephone surveys on similar topics.44,45 Second, data was self-reported and verification was not feasible. Recall bias might exist. Third, due to the limited length of the questionnaire, we did not measure all dimensions of illness representation. Fourth, causality could not be established as this was a cross-sectional study.
Conclusion
This was one of the first studies investigating illness representations on pneumonia and PV uptake. Although free PV is provided to community-living aging adults with high-risk conditions for IPD, this group reported very low PV uptake and behavioral intention to take up PV. Dimensions of illness representations, including belief that timeline of pneumonia is chronic, understanding the severe consequences of pneumonia, knowing that pneumonia can be controlled with treatment, and having negative emotions related to pneumonia were significantly associated with PV uptake and/or behavioral intention to take up PV among community-living aging adults with high-risk condition of IPD in Hong Kong.
Funding Statement
This study was supported by Direct Grant for research, the Chinese University of Hong Kong (Ref#: 2017.018). The funder had no role in study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.
References
- 1.Varon E, Mainardi JL, Gutmann L.. Streptococcus pneumoniae: still a major pathogen. Clinical Microbiology and Infection: The Official Publication of the European Society of Clinical Microbiology and Infectious Diseases. 2010;16(5):401. doi: 10.1111/j.1469-0691.2010.03190.x. [DOI] [PubMed] [Google Scholar]
- 2.Department of Health . Health Facts of Hong Kong 2019 Edition. [accessed 2020 Jul 31]. Available at: https://www.dh.gov.hk/english/statistics/statistics_hs/files/Health_Statistics_pamphlet_E.pdf 2019.
- 3.Fung HB, Monteagudo-Chu MO.. Community-acquired pneumonia in the elderly. Am J Geriatr Pharmacother. 2010;8(1):47–62. doi: 10.1016/j.amjopharm.2010.01.003. [DOI] [PubMed] [Google Scholar]
- 4.Center for Disease Control and Prevention . Pneumococcal Diseases: Surveillance and Reporting. [accessed 2020 Jul 31]. Available at: https://www.cdc.gov/pneumococcal/surveillance.html 2016.
- 5.Centre for Health Protection . Report on IPD. [accessed 2020 Jul 31] Available at: https://www.chp.gov.hk/en/resources/29/636.html 2019.
- 6.Centre for Health Protection . Updated Recommendations on the Use of Pneumococcal Vaccines for High-risk Individuals. [accessed 2020 Jul 31]. Available at: https://www.chp.gov.hk/files/pdf/updated_recommendations_on_the_use_of_pneumococcal_vaccines_amended_120116_clean_2.pdf 2016.
- 7.Centre for Health Protection . Seasonal influenza vaccination & pneumococcal vaccination. [accessed 2020 Jul 31] Available at: https://www.chp.gov.hk/files/pdf/1sivandpv.pdf 2018.
- 8.Brundage JF. Interactions between influenza and bacterial respiratory pathogens: implications for pandemic preparedness. Lancet Infect Dis. 2006;6(5):303–12. doi: 10.1016/S1473-3099(06)70466-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Joseph C, Togawa Y, Shindo N. Bacterial and viral infections associated with influenza. Influenza Other Respi Viruses. 2013;7(Suppl 2):105–13. doi: 10.1111/irv.12089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Morris DE, Cleary DW, Clarke SC. Secondary Bacterial Infections Associated with Influenza Pandemics. Front Microbiol. 2017;8:1041. doi: 10.3389/fmicb.2017.01041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bonten MJ, Huijts SM, Bolkenbaas M, Webber C, Patterson S, Gault S, van Werkhoven CH, van Deursen AMM, Sanders EAM, Verheij TJM, et al. Polysaccharide conjugate vaccine against pneumococcal pneumonia in adults. N Engl J Med. 2015;372(12):1114–25. doi: 10.1056/NEJMoa1408544. [DOI] [PubMed] [Google Scholar]
- 12.Maruyama T, Taguchi O, Niederman MS, Morser J, Kobayashi H, Kobayashi T, D’Alessandro-Gabazza C, Nakayama S, Nishikubo K, Noguchi T, et al. Efficacy of 23-valent pneumococcal vaccine in preventing pneumonia and improving survival in nursing home residents: double blind, randomised and placebo controlled trial. Bmj. 2010;340(mar08 1):c1004. doi: 10.1136/bmj.c1004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Melegaro A, Melegaro A. The 23-valent pneumococcal polysaccharide vaccine. Part I. Efficacy of PPV in the elderly: a comparison of meta-analyses. Eur J Epidemiol. 2003;19(4):353–63. doi: 10.1023/B:EJEP.0000024701.94769.98. [DOI] [PubMed] [Google Scholar]
- 14.Gilchrist SA, Nanni A, Levine O. Benefits and effectiveness of administering pneumococcal polysaccharide vaccine with seasonal influenza vaccine: an approach for policymakers. Am J Public Health. 2012;102(4):596–605. doi: 10.2105/AJPH.2011.300512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.World Health Organization . Pneumococcal vaccines. WHO position paper - 2012. [accessed 2020 Jul 31]. Available at: http://www.who.int/wer/2012/wer8714.pdf 2012.
- 16.Li X, Shami J, Suh I, Chan EW. PIN39 Cost-effectiveness of pneumococcal vaccination strategies in older adults of Hong Kong. Value in Health. 2019;22(Suppl 2):S200. doi: 10.1016/j.jval.2019.04.909. [DOI] [Google Scholar]
- 17.Wang Z, Fang Y, Ip M, Lau M, Lau JT. Facilitators and barriers to completing recommended doses of pneumococcal vaccination among community-living individuals aged ≥65 years in Hong Kong – a population-based study. Hum Vaccin Immunother. 2020;1–10. doi: 10.1080/21645515.2020.1776545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sun X, Guo X, Ren J, Wang Y, Pan Q, Zhao G. Knowledge and Attitude toward Pneumonia and Pneumococcal Polysaccharide Vaccine among the Elderly in Shanghai. China: A Crossse Question Survey J Pul Resp Med. 2016;6:1000330. [Google Scholar]
- 19.Goren A, Roberts C, Victor TW. Comorbid risk, respondent characteristics and likelihood of pneumococcal vaccination versus no vaccination among older adults in Brazil. Expert Rev Vaccines. 2014;13(1):175–84. doi: 10.1586/14760584.2014.863714. [DOI] [PubMed] [Google Scholar]
- 20.Klett-Tammen CJ, Krause G, Seefeld L, Ott JJ. Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP). BMC Public Health. 2015;16(1):121. doi: 10.1186/s12889-016-2784-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Liu S, Xu E, Liu Y, Xu Y, Wang J, Du J, Zhang X, Che X, Gu W. Factors associated with pneumococcal vaccination among an urban elderly population in China. Hum Vaccin Immunother. 2014;10(10):2994–99. doi: 10.4161/21645515.2014.972155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Weinman J, Petrie KJ. Illness perceptions: a new paradigm for psychosomatics? J Psychosom Res. 1997;42(2):113–16. doi: 10.1016/S0022-3999(96)00294-2. [DOI] [PubMed] [Google Scholar]
- 23.Moss-Morris R, Weinman J, Petrie K, Horne R, Cameron L, Buick D. The revised illness perception questionnaire (IPQ-R). Psychol Health. 2002;17(1):1–16. [Google Scholar]
- 24.Mo PK, Lau JT. Illness representation on H1N1 influenza and preventive behaviors in the Hong Kong general population. J Health Psychol. 2015;20(12):1523–33. doi: 10.1177/1359105313516031. [DOI] [PubMed] [Google Scholar]
- 25.Byrne M, Walsh J, Murphy AW. Secondary prevention of coronary heart disease: patient beliefs and health-related behaviour. J Psychosom Res. 2005;58(5):403–15. doi: 10.1016/j.jpsychores.2004.11.010. [DOI] [PubMed] [Google Scholar]
- 26.Paschalides C, Wearden AJ, Dunkerley R, Bundy C, Davies R, Dickens CM. The associations of anxiety, depression and personal illness representations with glycaemic control and health-related quality of life in patients with type 2 diabetes mellitus. J Psychosom Res. 2004;57(6):557–64. doi: 10.1016/j.jpsychores.2004.03.006. [DOI] [PubMed] [Google Scholar]
- 27.Wang Z, Mo PKH, Fang Y, Ip M, Lau JTF. Factors predicting first-time hepatitis C virus testing uptake among men who have sex with men in China: an observational prospective cohort study. Sex Transm Infect. 2020;96(4):258–64. doi: 10.1136/sextrans-2019-054248. [DOI] [PubMed] [Google Scholar]
- 28.Lancastle D, Brain K, Phelps C. Illness representations and distress in women undergoing screening for familial ovarian cancer. Psychol Health. 2011;26(12):1659–77. doi: 10.1080/08870446.2011.555544. [DOI] [PubMed] [Google Scholar]
- 29.Horne R, Weinman J. Self-regulation and self-management in asthma. Exploring the Role of Illness Perception and Treatment Beliefs in Explaining Non-adherence to Preventer Medication Psychology & Health. 2002;17:17–32. [Google Scholar]
- 30.Kugbey N, Oppong Asante K, Adulai K. Illness perception, diabetes knowledge and self-care practices among type-2 diabetes patients: a cross-sectional study. BMC Res Notes. 2017;10(1):381. doi: 10.1186/s13104-017-2707-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Broadbent E, Ellis CJ, Thomas J, Gamble G, Petrie KJ. Further development of an illness perception intervention for myocardial infarction patients: a randomized controlled trial. J Psychosom Res. 2009;67(1):17–23. doi: 10.1016/j.jpsychores.2008.12.001. [DOI] [PubMed] [Google Scholar]
- 32.Moss-Morris R, Weinman J, Petrie K, Horne R, Cameron L, Buick D. The revised Illness Perception Questionnaire (IPQ-R). Psychol Health. 2002;17(1):1–16. [Google Scholar]
- 33.Chen S-L, Tsai J-C, Lee W-L. Psychometric validation of the Chinese version of the Illness Perception Questionnaire-Revised for patients with hypertension. J Adv Nurs. 2008;64(5):524–34. doi: 10.1111/j.1365-2648.2008.04808.x. [DOI] [PubMed] [Google Scholar]
- 34.Figueiras MJ, Alves NC. Lay perceptions of serious illnesses: an adapted version of the Revised Illness Perception Questionnaire (IPQ-R) for healthy people. Psychol Health. 2007;22(2):143–58. doi: 10.1080/14768320600774462. [DOI] [Google Scholar]
- 35.La EM, Trantham L, Kurosky SK, Odom D, Aris E, Hogea C. An analysis of factors associated with influenza, pneumoccocal, Tdap, and herpes zoster vaccine uptake in the US adult population and corresponding inter-state variability. Hum Vaccin Immunother. 2018;14(2):430–41. doi: 10.1080/21645515.2017.1403697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Schneeberg A, Bettinger JA, McNeil S, Ward BJ, Dionne M, Cooper C, Coleman B, Loeb M, Rubinstein E, McElhaney J, et al. Knowledge, attitudes, beliefs and behaviours of older adults about pneumococcal immunization, a Public Health Agency of Canada/Canadian Institutes of Health Research Influenza Research Network (PCIRN) investigation. BMC Public Health. 2014;14(1):442. doi: 10.1186/1471-2458-14-442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dyda A, Karki S, Hayen A, MacIntyre CR, Menzies R, Banks E, Kaldor JM, Liu B. Influenza and pneumococcal vaccination in Australian adults: a systematic review of coverage and factors associated with uptake. BMC Infect Dis. 2016;16(1):515. doi: 10.1186/s12879-016-1820-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the Theory of Planned Behaviour: a meta-analysis. Health Psychology Reviews. 2011;5(2):97–144. doi: 10.1080/17437199.2010.521684. [DOI] [Google Scholar]
- 39.Guan X, Silk BJ, Li W, Fleischauer AT, Xing X, Jiang X, Yu H, Olsen SJ, Cohen AL. Pneumonia Incidence and Mortality in Mainland China: systematic Review of Chinese and English Literature, 1985–2008. PloS One. 2010;5(7):e11721. doi: 10.1371/journal.pone.0011721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Li W, Ding C, Yin S. Severe pneumonia in the elderly: a multivariate analysis of risk factors.. Int J Clin Exp Med. 2015;8:12463–75. [PMC free article] [PubMed] [Google Scholar]
- 41.Pletz MW, Welte T, Ott SR. Advances in the prevention, management, and treatment of community-acquired pneumonia. F1000 Med Rep. 2010;2:53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Aliberti S, Dela Cruz CS, Sotgiu G, Restrepo MI. Pneumonia is a neglected problem: it is now time to act. The Lancet Respiratory Medicine. 2019;7(1):10–11. doi: 10.1016/S2213-2600(18)30470-3. [DOI] [PubMed] [Google Scholar]
- 43.Cillóniz C, Menéndez R, García-Vidal C, Péricas JM, Torres A. Defining Community-Acquired Pneumonia as a Public Health Threat: arguments in Favor from Spanish Investigators. Medical Sciences. 2020;8(1). doi: 10.3390/medsci8010006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Lau JT, Yang X, Tsui HY, Kim JH. Prevalence of influenza vaccination and associated factors among community-dwelling Hong Kong residents of age 65 or above. Vaccine. 2006;24(26):5526–34. doi: 10.1016/j.vaccine.2006.04.014. [DOI] [PubMed] [Google Scholar]
- 45.Wang Z, Wang J, Fang Y, Gross DL, Wong MCS, Wong ELY, Lau JTF. Parental acceptability of HPV vaccination for boys and girls aged 9–13 years in China – A population-based study. Vaccine. 2018;36(19):2657–65. doi: 10.1016/j.vaccine.2018.03.057. [DOI] [PubMed] [Google Scholar]