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. 2018 Dec 3;27(2):171–178. doi: 10.1177/1039856218815748

Nothing to sneeze at – uptake of protective measures against an influenza pandemic by people with schizophrenia: willingness and perceived barriers

Paul A Maguire 1,, Rebecca E Reay 2, Jeffrey CL Looi 3
PMCID: PMC7227129  PMID: 30501496

Abstract

Objectives:

To examine willingness to adopt protective behaviours, and perceived barriers, during a pandemic influenza, in people with schizophrenia.

Methods:

A cross-sectional study using a questionnaire was conducted exploring the responses of 71 adults with schizophrenia and 238 adults without schizophrenia attending a general practice setting, regarding willingness and perceived barriers to adopting protective measures against the 2009 swine influenza pandemic in Australia.

Results:

The majority of participants with schizophrenia reported that they would be at least moderately willing to be vaccinated (74.2%), isolate themselves (73.2%), wear a face mask (54.9%) and increase hand washing (88.6%). However, 71.8% were concerned about “catching” flu from vaccination. Predictors of willingness to adopt protective actions included self-efficacy (vaccination, face mask, isolation), perceived likelihood of contracting swine flu (vaccination), educational status (face mask) and perceived overall risk from swine flu (face mask). Key modifiable perceived barriers to adopting protective measures were identified, including cost and need for transport assistance for vaccination.

Conclusions:

People with schizophrenia report being generally willing to adopt protective measures, especially increased hand washing, during a pandemic influenza. Understanding perceived barriers may enable development of effective interventions to increase uptake of protective measures.

Keywords: pandemic influenza, protective measures, willingness, perceived barriers, schizophrenia


Pandemic influenza continues to pose a major public health threat in the 21st century. Therefore, it is essential that health services are maximally prepared with a well-considered response plan. Health outcomes of a significant influenza outbreak are influenced by the behavioural response of the community. The adoption of protective measures by the public attenuates the spread of the virus, especially in the early stages of a pandemic. In particular, vaccination can significantly reduce the number of people infected, as well as hospitalization and mortality rates.1 However, because there are likely to be limitations in the supply and effectiveness of vaccines (and antiviral medication) in a pandemic influenza, non-pharmacological (infection control) measures also have an important role to play.2 Increased hand hygiene, isolation and wearing a face mask have been demonstrated to be effective in reducing transmission of respiratory viruses3 and their use during a pandemic influenza has been endorsed by expert opinion.2,4,5 Protective behaviour is linked to a person’s risk perceptions of the health threat as well as their evaluation of the potential benefits and risks associated with a given preventative action.6

People with a mental illness, including those with schizophrenia, have been shown to have significantly higher mortality rates from influenza and pneumonia compared with the general population, as well as a 50% excess hospitalization for influenza.7 However, there is a paucity of research investigating: what people with mental illness believe about protective measures; how willing they would be to adopt them; and what they perceive as barriers to their uptake, in the event of a significant outbreak of influenza.

This study was conducted in 2009 during the H1N109 (“swine flu”) outbreak in Australia, which the World Health Organization declared a global pandemic on 11 June 2009. The key aims of this study were to explore the willingness of people with schizophrenia to undertake protective measures against the 2009 swine influenza, as well as perceived barriers to adopting these measures.

Methods

The following is a summary of the methods used in this study, which have been described elsewhere.8

Participants

The sample has been described previously8 but can be summarized as follows. Within the Australian Capital Territory, a purposive stratified sample of 309 patients aged 18–65 (inclusive) was recruited from healthcare settings. This included 71 patients with schizophrenia (SCZ) from mental health care settings, as well as 238 adults from 13 general practice (GP) settings, none of whom had a diagnosis of schizophrenia. Participants with schizophrenia (excluding schizoaffective disorder) were recruited from both hospital (n = 12) and community settings (n = 59). A diagnosis of schizophrenia was confirmed by the patient’s treating psychiatrist. Approval was obtained from ACT Health and Australian National University ethics committees. Written consent was obtained from all participants.

Measures

Participants were invited to complete a questionnaire that included items examining their willingness to undergo protective measures during a pandemic influenza in Australia, and perceived barriers to adopting these measures (Table 1).

Table 1.

Questionnaire items

(1) Socio-demographic characteristics
Age, gender, highest level of education, employment status, children in the household, living alone, and non-English language spoken in the household.
(2) Willingness to adopt protective measures
In the case of an emergency such as an influenza pandemic, government authorities might request cooperation from the public in a number of ways. Please indicate:
How willing would you be to … [each protective action – receive a vaccination, isolate yourself from others, wear a face mask, wash your hands more frequently enquired about individually]
Response options included: 1 = Not at all willing; 2 = A little willing; 3 = Moderately willing; 4 = Very willing; and 5 = Extremely willing
A “Don’t know” response option was included for vaccination.
(3) Perceived effectiveness of each protective measure
How effective do you think…[each protective measure]…would be in preventing you from catching influenza during a pandemic outbreak?
Participants responded on a five-point scale ranging from “Not at all effective” to “Extremely effective”.
(4) Self-efficacy
Self-efficacy facilitates adaptive heath behaviours and is included as a component of health behaviour models such as the Health Belief Model, e.g. seasonal uptake of vaccination is strongly associated with self-efficacy. Even if an individual believes the risk benefit profile of a protective action is favourable, there still appears to be a need for the belief that they can actually go ahead and carry out this action.
How confident are you that once you decided to …[each protective action]…you would be able to actually go each and do this?
(5) Risk perception and feelings of vulnerability
Overall, what do you see as your risk from human swine influenza if you took no protective actions?
How vulnerable does it make you feel knowing that there is a global influenza pandemic?
Participants responded to each of these questions on a five-point scale ranging from “No risk at all”
to “An extreme risk”, and “Not at all vulnerable” to “Extremely vulnerable”, respectively. Similarly,
participants were asked about they perceive their likelihood of contracting swine flu and how serious
this would be for them if they did. In addition, knowledge of the disease experience was ascertained
by asking, “Have you or someone close to you ever suffered from a serious influenza in the past?”
(6) Perceived barriers
Participants were asked an open-ended question to explore what they viewed as potential barriers
to carrying each of the four protective measures:
What might be difficult for you about …[each protective action] …? Please name three things.
(7) Single-item Self-Rated Health Question (SRHQ) and 10-item Kessler Psychological Distress
Scale (K-10)
Because risks associated with influenza are heightened in those with concurrent medical illness, and this
may impact on willingness to undertake protective measures, an SRHQ9 was included in the
questionnaire. Given that psychological distress may impact on willingness to take up protective
measures, a K-10 was also included.

Statistical analyses

All analyses were carried out using SPSS version 22. Within-group analyses using logistic regression were performed to examine for significant predictors of willingness to take protective actions. Odds ratios were obtained after responses were dichotomized into: (1) “Not at all” or “A little”, and (2) “Moderately”, “Very” or “Extremely”. For perceived barriers to protective actions, responses from the SCZ and GP groups were assigned to identified themes for each protective action, including a “No difficulty” category. The proportion of responders in each theme category was calculated.

Results

Demographics

The mean age in the SCZ group was 36.1 years (SD 9.7) and 36.6 years (SD 14.1) in the GP group (Table 2). There was no statistically significant difference between the SCZ and GP groups for age. However, significant differences were present for gender, employment status, living alone, children in the household, and highest level of education.

Table 2.

Socio-demographic characteristics

SCZ
GP
Statistica
(n = 71) (n = 238)
Age t = 0.36, p = 0.72
Mean 36.1 36.6
SD 9.7 14.0
Range 43 (19–62) 47 (18–65)
Gender χ2 = 28.9, p < 0.01
Male 70% 34%
Highest level of education χ 2 = 50.7, p < 0.01
None 11.3% 1.7%
Year 10 certificate 31.0% 15.1%
Year 12 certificate 25.4% 20.2%
TAFE certificate/diploma 23.9% 14.3%
University degree 8.5% 48.7%
Currently employed 21.1% 91.7% χ2 = 50.3, p < 0.01
Children in household 5.6% 43.7% χ2 = 33.2, p < 0.01
Lives alone 33.8% 12.2% χ2 = 16.5, p < 0.01
Non-English language spoken in the household 20.0% 22.5% χ2 = 0.07, p = 0.79

Bold indicates statistical significance (p < 0.05).

GP: general practice; SCZ: schizophrenia; SD: standard deviation; TAFE: Technical And Further Education.

a

Statistic includes: independent-samples t-test; chi-square test.

Willingness

Vaccination

In the SCZ group, 74.2% of participants were moderately, very or extremely willing to receive a vaccination compared with 80.1% in the GP group (Table 3). Within-group analysis (Table 4) revealed that, for participants in the SCZ group, predictors of increased willingness to receive a flu vaccination included self-efficacy and perceived own likelihood of contracting swine influenza. In the GP group, predictors of increased willingness to be vaccinated included perceived effectiveness of vaccination and self-efficacy. Those in the GP group who perceived a substantive risk of adverse reaction were less likely to be willing to receive a vaccination.

Table 3.

Comparison between SCZ and GP groups for protective measures against pandemic influenza

Precautionary measurea SCZ (%)
GP (%)
AOR (95% CI)
p value
(n = 71) (n = 238)
Vaccination
Willing to receive 74.3 80.1 0.41 (0.19–0.88) 0.02
Perceived as effective 86.6 75.3 1.63 (0.693.86) 0.27
Perceived as risky for adverse reaction 38.7 27.5 2.17 (1.03–4.56) 0.04
Concern about “catching” flu from vaccination 71.8 50.2 2.19 (1.48–3.25) 0.02
Self-efficacy 85.5 76.5 0.72 (0.441.17) 0.43
Isolation
Willing to be isolated 73.2 86.1 0.41 (0.25–0.65) 0.03
Perceived as effective 69.7 80.9 0.52 (0.330.81) 0.09
Self-efficacy 61.8 72.6 0.44 (0.29–0.66) 0.02
Face mask
Willing to wear 54.9 61.6 0.44 (0.491.17) 0.40
Perceived as effective 45.5 57.7 0.52 (0.271.01) 0.05
Self-efficacy 63.2 66.0 0.90 (0.451.79) 0.77
Hand washing
Willing to wash hands more frequently 88.6 93.2 0.78 (0.252.41) 0.58
Perceived as effective 77.3 85.6 0.62 (0.271.41) 0.17
a

At least a moderate amount of that variable (e.g. willingness to receive vaccination denotes reporting being moderately, very or extremely willing) except for Concern about “catching” flu from a vaccination, which denotes any degree of concern at all.

Bold indicates statistically significant results (p < 0.05).

AOR: adjusted odds ratio (adjusted for age, gender, employment status, level of education, living alone, children in the household, non-English language spoken at home, week of participation, self-rated health, previous influenza experience and K10 total score); CI: confidence interval; GP: general practice; SCZ: schizophrenia.

Table 4.

Predictors of willingness to adopt protective measures: within-group multiple logistic regression (Exp(B) with p values).

Vaccination
Isolation
Face mask
Increased hand washing
SCZ
(n = 71)
GP
(n = 238)
SCZ
(n = 71)
GP
(n = 238)
SCZ
(n = 71)
GP
(n = 238)
SCZ
(n = 71)
GP
(n = 238)
Predictor
Age 1.01 (0.80) 0.96 (0.01) 1.16 (0.05) 1.05 (0.02) 1.10 (0.05) 1.02 (0.27) 1.03 (0.57) 0.98 (0.57)
Gender (male) 1.76 (0.58) 1.09 (0.87) 4.54 (0.19) (0.90 (0.84) 1.75 (0.48) 0.81 (0.61) 2.49 (0.48) 0.24 (0.05)
Employed 1.08 (0.95) 1.12 (0.84) 0.68 (0.73) (0.42 (0.16) 1.14 (0.88) 1.29 (0.59) 0.34 (0.38) 1.38 (0.65)
Highest level of education - - - 40.00 a (0.03) 0.02b (0.02)
0.02a (0.03)
- - -
Self-rated general health 1.38 (0.64) 1.04 (0.89) 0.36 (0.22) 0.75 (0.33) 1.41 (0.51) 1.75 (0.02) 0.79 (0.76) 0.33 (0.02)
Perceived effectiveness 1.67 (0.29) 3.66 (< 0.01) 5.23 (0.01) 1.25 (0.29) 1.27 (0.58) 2.48 (< 0.01) 2.98 (0.09) 3.68 (< 0.01)
Perceived risk of adverse reaction 0.55 (0.11) 0.58 (0.01) nd nd nd nd nd nd
Self-efficacy 3.44 (0.04) 1.72 (< 0.01) 4.89 (0.01) 2.18 (< 0.01) 2.43 (0.02) 3.01 (< 0.01) nd nd
Perceived likelihood of self contracting swine flu 3.48 (0.04) 0.91 (0.69) 1.53 (0.53) 0.83 (0.41) 0.59 (0.22) 1.41 (0.22) 0.31 (0.12) 0.92 (0.76)
Perceived seriousness of self contracting swine flu 2.16 (0.16) 1.13 (0.64) 0.83 (0.77) 1.31 (0.28) 0.62 (0.32) 1.31 (0.22) 1.65 (0.48) 0.99 (0.98)
Feeling vulnerable to swine flu 1.07 (0.88) 1.35 (0.29) 0.53 (0.25) 0.83 (0.47) 0.93 (0.85) 1.11 (0.65) 3.34 (0.16) 0.61 (0.20)
Perceived overall risk to self from swine flu 0.76 (0.58) 1.05 (0.88) 4.82 (0.08) 1.35 (0.33) 5.61 (0.01) 1.27 (0.39) 1.72 (0.52) 3.65 (0.01)

Bold indicates statistically significant results (p < 0.05); Exp(B), exponential of regression coefficient B; nd, no data.

a

University degree compared with no educational attainment (using dummy variables to represent highest educational attainment, reference group = “None”).

b

Year 10 certificate compared with no educational attainment (using dummy variables to represent highest educational attainment, reference group = “None”).

GP: general practice; SCZ: schizophrenia.

Social isolation

In the SCZ group, 73.2% of participants were at least moderately willing to isolate themselves from others compared with 86.1% in the GP group (Table 3). Within-group analysis (Table 4) showed that in the SCZ group, positive predictors for willingness to be isolated included perceived effectiveness of isolation and self-efficacy. In the GP group, educational attainment and self-efficacy were positive predictors.

Facial mask

In the SCZ group, 54.9% of participants were at least moderately willing to wear a face mask, compared with 61.6% in the GP group (Table 3). Of all the precautionary measures examined in both groups, wearing a face mask was the least likely to be adhered to and the most likely to be viewed as ineffective or minimally effective. Within-group analysis (Table 4) revealed that in the SCZ group, positive predictors of willingness to wear a face mask included self-efficacy and perceived overall risk from swine flu. Negative predictors included a university degree compared with no educational attainment, and a Year 10 Certificate compared with no educational attainment. In the GP group, self-efficacy, perceived effectiveness, and higher self-rated general health were positive predictors of willingness to wear a facial mask.

Hand washing

There were no differences between the SCZ and GP groups in terms of being at least moderately willing to increase hand washing in the event of an Australian pandemic influenza (Table 3). Approximately 90% of participants in both groups were willing to engage in this simple but important protective measure. In addition, over three-quarters of people in each group evaluated increased hand washing as an effective preventative action. Perceived effectiveness and perceived substantive overall risk from swine flu increased the likelihood of people in the GP group being willing to increase hand washing, whereas higher self-rated general health reduced the likelihood (Table 4).

Between-group differences

Despite the majority of people in both groups being willing to adopt all four protective measures, logistic regression analysis revealed that people with schizophrenia were less willing to receive a vaccination and to isolate themselves compared with those in the GP group, had less self-efficacy for isolation, and were more likely to perceive vaccination as risky for an adverse reaction, including having concerns about “catching” flu from it (Table 3).

Perceived barriers

Perceived barriers for each protective measure are shown in Figures 14. For people with schizophrenia the main barriers are summarized in Table 5.

Figure 1.

Figure 1.

Perceived barriers to vaccination.

Figure 2.

Figure 2.

Perceived barriers to isolating oneself.

Figure 3.

Figure 3.

Perceived barriers to wearing a face mask.

Figure 4.

Figure 4.

Perceived barriers to increased hand washing.

Table 5.

Summary of commonest perceived barriers for people with schizophrenia

Vaccination • Concern about side effects
• Cost
• Transport to a clinic (to receive vaccination)
Isolation • Loneliness / missing social contact
• Accessing food and groceries
• Boredom
Face mask • Appearance / stigma
• Uncomfortable
• Difficulty breathing
Increased hand washing • Access to hand washing facilities (e.g. basin)
• Skin irritation
• Time

Discussion

The results indicate that most people with schizophrenia attending public mental health services and GP attendees are willing to take protective action against pandemic influenza. In both groups, increased hand washing was the most accepted measure and wearing a face mask the least accepted. Hand washing as a simple, inexpensive and effective protective measure should be a core focus in public health messaging during a pandemic.

Significant perceived barriers exist for each of the protective measures for people with schizophrenia and in the general population. Although there are similarities between the two groups in how they perceive barriers, there are also substantive differences, which are likely to reflect socio-demographic disparities between the groups. Being unemployed, living alone, not having children in the household and having lower educational attainment are all likely to impact on perceived barriers. Barriers frequently identified by people without schizophrenia, such as needing to attend to child, family and carer duties or to attend work or university, were considerably lower in frequency for people with schizophrenia, whereas cost of purchasing a vaccination and difficulties with transport to a health facility to have it administered were significantly greater. Assisting people in overcoming perceived barriers may increase self-efficacy (found to be a strong predictor of willingness) and the uptake of protective measures during an influenza pandemic. A key strategy for increased hand hygiene during a pandemic may be education and encouragement in using antiseptic gels, given that lack of washing facilities was the most frequently cited barrier for increased hand washing in both groups. As people with schizophrenia were generally willing to receive a vaccination, assistance with overcoming perceived barriers could form part of pandemic influenza response planning. These measures could include: funding the vaccine, facilitating its administration (home visit or provision of transport), and education and correction of misconceptions about contracting influenza from a vaccination.

Limitations of this study include relatively small sample size, self-selection bias and clustering sampling, and the cross-sectional nature of the study.

Conclusion

People with schizophrenia report being generally willing to adopt protective measures, especially increased hand washing, during a pandemic influenza. Understanding and further investigating perceived barriers may enable development of effective interventions to increase uptake of protective measures.

Footnotes

Disclosure: The authors report no conflict of interest. The authors alone are responsible for the content and writing of the paper.

Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors gratefully acknowledge funding provided by the Private Practice Fund, Canberra Hospital.

ORCID iD: Jeffrey C.L. Looi Inline graphic https://orcid.org/0000-0003-3351-6911

Contributor Information

Paul A Maguire, Lecturer and Acting Co-Deputy Head, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra, ACT, Australia.

Rebecca E Reay, Senior Research Coordinator and Lecturer, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra, ACT, Australia.

Jeffrey CL Looi, Associate Professor and Acting Head, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Garran, ACT, and; Clinical Associate Professor, Department of Psychiatry, Royal Melbourne Hospital, Melbourne, VIC, and; Director, Research Centre for the Neurosciences of Ageing, Canberra Hospital, Canberra, ACT, Australia.

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