Research
A South Australian population survey of the ownership of asthma
action plans
Richard E Ruffin, David Wilson, Anne Marie Southcott, Brian Smith and
Robert J Adams
MJA 1999; 171: 348-351
Abstract -
Introduction -
Methods -
Results -
Discussion -
References -
Authors' details
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More articles on Respiratory medicine
Abstract |
Objective: To examine the relationships between
ownership of written asthma action plans, asthma morbidity, use of
devices, and patients' perceptions of their asthma
management. Design and setting: A random population survey (in 1996)
of the South Australian population aged 15 years or over, using
interviewers to administer a questionnaire. Participants: People who reported that they had current,
doctor-diagnosed asthma. Main outcome measures: Prevalence of written asthma
action plans; night-time awakenings from asthma; ownership of peak
flow meters; and people's perceptions of their asthma
management. Results: The ownership of asthma action plans by people
with self-reported asthma was 33% and has declined since 1995 (42%;
P < 0.001). Fifteen per cent were wakened weekly or more
frequently by asthma symptoms. These people were more likely to have a
peak flow meter and a written action plan, but less likely to consider
they had been provided with enough information about their asthma, to
feel comfortable managing their asthma, or to find it easy to see their
doctor. Having a written asthma action plan was associated with
regular corticosteroid use, understanding asthma, having enough
information and owning a peak flow meter. Conclusions: Ownership of asthma action plans in South
Australia is suboptimal. Before we develop new strategies to improve
asthma outcomes, we must determine whether there is a need to target
people with less severe asthma and/or improve the use of guidelines by
health professionals.
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| Introduction |
The Australian and New Zealand Asthma Guidelines, developed in 1989,
provide a list of objectives that would be desirable to achieve for
every person with asthma,1 and studies of the use of
asthma management plans have shown improved health outcomes for
people with asthma.2-4 In Australia there is
evidence that the promotion of asthma plan guidelines by the Thoracic
Society of Australia and New Zealand and the National Asthma Campaign
has led to increased uptake of plans.1 In South Australia the
prevalence of adults with asthma reporting that they had a written
action plan almost doubled between 1992 and 1995.5 However, there
is evidence that asthma management is not ideal.6-8In one
study in Victoria, 45% of people who died of their asthma had been
assessed as having only a history of mild or moderate
asthma.6 In another study in Victoria
that examined the asthma knowledge of asthma patients, the median
score obtained was less than 50%.7 The effective implementation of asthma management plans in
Australia to date has been seriously questioned by some
investigators,8 and Bauman et al have
concluded that the treatment and management of asthma is
suboptimal.9
Our study aimed to provide representative population information on
the ownership of written asthma action plans and the relationship to
asthma morbidity and management factors.
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Methods |
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Survey |
The data for this study were collected in the 1996 South Australian
Health Omnibus Survey,10 a representative survey
of people aged 15 years or older (n = 3010; response, 71%) . The
survey was a multistage, systematic, clustered area sample of people
who live in metropolitan Adelaide and major country centres with a
population of over 1000. The survey was selected from a random sample
of Australian Bureau of Statistics collector districts. Within each
collector's district a random starting point was selected and from
this point 10 households were selected using a fixed skip interval.
Hotels, motels, hospitals, nursing homes and other institutions
were excluded. The person whose birthday was next in each selected
household was interviewed in their home by trained health
interviewers. There was no replacement for non-respondents. Up to
five call-backs were made in an attempt to interview the selected
person. The data were weighted by age, sex, and geographic region to
the estimated resident population data so that the analysis would be
representative of the South Australian population.
The part of the survey form dealing with asthma is shown in the Box. A
person was classified as having current asthma if they answered yes to
the first three questions.
Social class was determined by referring to the gradation of
occupational prestige given in the Australian Standard
Classification of Occupations.11
An asthma action plan was defined as "written
instructions of what to do if your asthma is out of control."
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Data analysis |
Possession of an asthma management plan and frequency of wakening at
night with asthma were used as the two dependent variables for
univariate analyses,12 which examined the
associations between these variables and reported asthma
management, knowledge and attitudes to management.
Before conducting multiple logistic regression analyses, the
explanatory variables were examined for collinearity or
interactions. Stratified analyses were used to check homogeneity of
associations across different levels of predictor variables.
Smoking status and the information that people with asthma perceive
they have for dealing with worsening asthma were found to interact,
with an effect of these variables on worsening asthma. An interaction
term for the two independent variables was included in the logistic
regression analysis for frequency of wakening at night. This
interaction term proved significant (P = 0.03), indicating
the need to split the model and conduct separate logistic regression
analyses of smokers and non-smokers.
Therefore, we conducted three logistic regression analyses, using
"asthma plan", "waken weekly-non-smokers" and "waken
weekly-smokers" as the three response variables. All variables
found to be significant at the univariate stage (ie, P =
0.25)13 were entered into each
logistic regression. Insignificant variables were progressively
omitted until satisfactory models were found that explained
possession of an asthma plan and frequency of wakening at night.
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Results |
The prevalence of asthma was 11.6% (95% CI, 10.3%-12.9%). Of the 349
survey respondents with asthma, 33% (95% CI, 30.8%-35.2%) had a
written asthma action plan and 15.2% (95% CI, 13.7%-15.7%) were
awakened by asthma weekly or more frequently. Age, sex, migrant
status, education level and socioeconomic status made no
significant difference to the rate of possession of an asthma action
plan or the rate of wakening with asthma weekly or more frequently.
Variables significantly associated with ownership of an asthma
action plan at the univariate level are shown in Table 1; those significantly associated with
wakening with asthma at night are shown in Table 2.
In the multivariate analysis (Table 3),
the variables that best described those who had an asthma action plan
were: using corticosteroids, understanding the effects of
worsening asthma, having a peak flow meter, and believing they have
enough information to deal with worsening asthma. The variables that
best described non-smokers who waken weekly or more often were:
having a peak flow meter, having an asthma action plan, not believing
they have enough information to deal with worsening asthma, and not
feeling comfortable taking care of their asthma. Only one variable --
not finding it easy or convenient to access their doctor about asthma
-- explained wakening weekly or more often for smokers.
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Discussion |
The data obtained in this representative population study paint a
bleak picture of the effectiveness of asthma management in
Australia. As even people with mild asthma can die of the
disease,6 every person with asthma may
need an action plan. Yet, seven years after the promulgation of
Australian guidelines on the implementation of asthma action
plans,1 only 33% of people with
diagnosed asthma had a written plan. The current level of plan
ownership is significantly lower than the 42.1% (P <
0.001) reported 12 months earlier using the same survey
methods.5 This may mean that vigilance
regarding asthma management is declining.
Our study has some limitations. We have no objective data to identify
levels of asthma severity and asthma control in the respondents. The
validity of the perception questions as repeatable measures has not
been verified. Because we focused on ownership of written action
plans, our study does not tell us whether patients are making
appropriate use of these plans or of verbal instructions.
In the multivariate analyses, only use of preventer medication,
ownership of a peak flow meter and self-reported understanding of
asthma were associated with plan ownership. This association could
suggest that the more severe cases have better asthma management.
Proof for this requires prospective measures (eg, lung function,
medication doses) to assess the two critical factors of asthma
severity and asthma control. Such knowledge could inform us of the
potential need to target people with less severe asthma.
People with asthma with nocturnal symptoms were more likely than
those without nocturnal symptoms to report possession of a peak flow
meter, and to have asthma action plans, but were less likely to
consider they had been provided with enough information about their
asthma (non-smokers) or to find it easy to see their doctor (smokers)
(Table 2). Thus, although asthmatics with a
higher level of morbidity are more likely to receive physical
materials to assist in self-care, they continue to have greater unmet
needs for general practitioner access and information about asthma
self-management.
What is the way forward? Randomised studies of the implementation of
asthma plans show that good educational and skill objectives can be
achieved.2,14-16 However, the
complexity of the asthma management problem makes it impossible to
provide for every contingency the patient might face in dealing with
asthma. Asthma management decisions can be difficult, because the
patient, the daily situation, the science base and the disease are
constantly changing.2
The objectives of patient asthma management are the development of
skills and positive attitudes to problem-solving, accompanied by
sufficient knowledge to make sense of changing morbidity and
symptoms. A controlled trial evaluation of a brief asthma education
program (2.5 to 3 hours group work) demonstrated substantial changes
in illness behaviour.2 These programs show that
giving the patient the necessary skills cannot be achieved within the
normal constraints of general practice. Randomised controlled
trials of asthma clinics, where there is an emphasis on
self-management, have demonstrated improvements in a range of
morbidity and other health-related outcomes in a community-based
setting.17
We must identify other ways of training the
patient and focus the clinician on that part of the education program
that can be managed in general practice. There is evidence that
regular review improves asthma outcomes.18
It is pertinent to consider the possibility that inadequate use of
guidelines by health professionals may be contributing to the fall in
action plan ownership. Ways to improve use of guidelines need to
include developments in information technology.
Trostle has suggested that the inability of some people to comply with
a treatment regimen is an unavoidable byproduct of collisions
between the clinical world and other competing worlds of work,
family, friends and recreation.19 Often, the process
required to inform and empower the patient is more than an educational
task. Some of the traditional models of patient education based on
health beliefs or compliance frameworks have been seriously
questioned.20,21 Patients have to fit
their medical problems and medical regimens into the context of their
daily lives. In doing so they will vary their compliance with advice
and instructions to accommodate the social, psychological,
economic and physical influences which are part of their
lives.21 We need research that
clearly articulates the complexity and variability of how asthma
management fits into the context of individual patients' lives.
The National Asthma Campaign has provided a guide for health
professionals to assist with effective patient communication,
which is a starting point for corrective strategies.22
We therefore know what optimal management of asthma is, but its
attainment is elusive. Future strategies must be guided by studies
defining asthma severity and asthma control, studies identifying
factors that influence the use of guidelines by professionals, and
studies elucidating the context of asthma management for the
individual.
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References |
- Woolcock A, Rubinfeld AR, Seale P, et al. Asthma management plan,
1989. Med J Aust 1989; 151: 650-653.
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Yoon R, McKenzie DK, Bauman A, Miles DA. Controlled trial
evaluation of an asthma program for adults. Thorax 1993; 48:
1110-1116.
-
Comino EJ, Mitchell CA, Bauman A, et al. Asthma management in
eastern Australia. Med J Aust 1996; 164: 403-406.
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Beasley R, Cushley M, Holgate ST. A self-management plan in the
treatment of adult asthma. Thorax 1989; 44: 200-204.
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Adams R, Ruffin R, Wakefield M, et al. Asthma prevalence, morbidity
and management practices in South Australia, 1992-1995. Aust N Z J
Med 1997; 27: 672-679.
-
Robertson C, Rubinfeld AR, Bowes G. Deaths from asthma in Victoria:
a twelve-month survey. Med J Aust 1990; 152: 511-517.
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Rubinfeld AR, Dunt DR, McLure BG. Do patients understand asthma? A
community survey of asthma knowledge. Med J Aust 1988; 149:
526-530.
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Bauman A, Young L, Peat JK, et al. Asthma under-recognition and
under-treatment in an Australian community. Aust N Z J Med
1992; 22: 36-40.
-
Bauman A, Mitchell CA, Henry RL, et al. Asthma morbidity in
Australia: an epidemiological study. Med J Aust 1992; 156:
827-831.
-
Wilson D, Wakefield M, Taylor A. The South Australian Health
Omnibus Survey. Health Promotional J Aust 1992; 2: 47-49.
-
Kelley JL, Evans MDR. Using ASCO for socio-economic analysis:
assessment and conversion into status and prestige indices.
Canberra: Research School of Social Sciences, Australian National
University, 1988.
-
SPSS for Windows. Release 8.0 [computer program]. Chicago, IL:
SPSS Inc, 1998.
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Hosmer DW, Lemeshow S. Applied logistic regression. New York:
John Wiley, 1989.
-
Wilson-Pessano SR, McNabb WL. The role of patient education in the
management of childhood asthma. Prev Med 1985; 14: 670-687.
-
Clark NM, Feldman CH, Evans D, et al. Managing better: children,
parents and asthma. Patient Educ Counsell 1986; 8: 27-38.
-
D'Sousa WD, Crane J, Burgess C, et al. Community-based asthma
care: trial of a "credit card" asthma self-management plan. Eur
Respir J 1994; 7: 1260-1265.
-
Lahdenso A, Haajtela T, Herrala J, et al. Randomised comparison of
guided self-management and traditional treatment of asthma over one
year. BMJ 1996; 312: 748-752.
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Asthma management handbook 1998. Melbourne: National Asthma
Campaign, 1998.
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Trostle JA. Medical compliance as an ideology. Soc Sci Med
1988; 18: 1299-1308.
-
Carter WB. Psychology and decision making: modelling health
behaviour with multiattribute theory. J Dental Educ 1992,
December: 800-807.
-
Morris SL, Schulz RM. Medication compliance: the patients'
perspective. Clin Ther 1993; 15: 593-606.
-
Asthma adherence: a guide for health professionals. Melbourne:
National Asthma Campaign, 1999.
(Received 19 Apr, accepted 26 Aug, 1999)
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| Authors' details |
The Queen Elizabeth Hospital, Adelaide, SA.
Richard E Ruffin, FRACP, MD, Head, Division of Medicine, and
Michell Professor of Medicine, University of Adelaide; Anne
Marie Southcott, MB BS(Hons), FRACP, Acting Director,
Respiratory Medicine; Brian Smith, PhD, FRACP, Director,
Clinical Epidemiology and Health Outcomes Unit, and Senior
Lecturer, University of Adelaide.
Centre for Population Studies in Epidemiology, Department of Human
Services, Adelaide, SA.
David Wilson, PhD, MPH, Head.
Channing Laboratory, Brigham and Women's Hospital, Harvard Medical
School, Boston, MA, USA.
Robert J Adams, MB BS, FRACP, Research Fellow.
Reprints: Professor R E Ruffin, Department of Medicine,
University of Adelaide, The Queen Elizabeth Hospital Campus, 28
Woodville Road, Woodville, SA 5011.
rruffinATmedicine.adelaide.edu.au
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Survey questions
Have you ever had asthma?
Was your asthma confirmed by a doctor?
Do you still have asthma?
If answer yes to these questions, then:
Do you have an asthma action plan (written instructions of what to do if your asthma is out of control)?
Do you have a home nebuliser for asthma treatment?
Interviewer: if "yes" prompt "have you used it in the last 12 months?"
What preventive (not reliever) medicine do you use regularly for your asthma? None - Intal - Becotide - Becloforte
Pulmicort - Tilade - Other (specify)
Which of the statements shown on this card do you feel are true of your preventer medication? Works by relieving narrowed breathing tubes quickly
Needs to be used when you feel unwell
Works by slowly reducing inflammation in the breathing tubes
Must not have the dose changed
Don't know
How often do you awaken during the night with asthma? Nightly - Most nights - About twice a week - Weekly - Monthly - Less often than monthly
Only at certain times of the year (ie seasonal)
Never
In the last 12 months have you had any hospital admissions for asthma where you stayed at least one night in hospital?
In the last 12 months have you had any days lost from work, school or home duties from asthma?
How many days would you estimate?
What would you do if you had a bad attack
of asthma and six puffs of your reliever
(eg, ventolin, respolin) had not helped?
Which of these statements shown on this
card most closely matches what you would
be likely to do? Wait another two hours and take more reliever medication
Seek medical advice
Take another six puffs of reliever medication and see what happens
Call an ambulance
Get someone to take you to hospital
Do something else (specify)
What feelings would you have if you had to get help for a bad attack of asthma? Which of the statements shown on this card most closely match how you would be feeling? You feel that you have failed
You would feel embarrassed
You do not want to bother others
It is the right thing to do
You know you will be OK because of past experience
Something else (specify)
I am now going to read out a number of statements and show you a card for each
of them. Could you please tell me which number from 1 to 5 best reflects the way
you feel.
I am the sort of person who understands all about my asthma Always - Often - Sometimes - Rarely - Never - Don't know/other
If I took care of my asthma myself, most of
the time, I would . . . Manage well
Manage sometimes
Not manage at all
Don't know/other
If I were having a severe attack of asthma I would feel comfortable about going to a doctor or hospital Very comfortable
Comfortable
Don't mind
Uncomfortable
Not comfortable at all
Don't know/other
Going to see a doctor for help with my
asthma is Easy and convenient
Not easy nor convenient
Don't know/other
I have information to use (such as "Asthma Action Plan" or other instructions) to deal with worsening asthma. Yes, all I need
Some
No, none at all
Don't know/other
Other questions were asked about smoking status, educational level and migrant status.
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1: Variables associated with ownership of an action plan* | Variable | Subjects (n = 349) | % | Odds ratio |
| Wrong about CS effect | 103 | 32.0 | 1.0 | Correct about CS effect | 162† | 44.4 | 1.7 (0.98-2.94) P = 0.04 | Don't use CS regularly | 147 | 21.8 | 1.0 | Use CS regularly | 202 | 41.6 | 2.56 (1.54-4.26) P < 0.01 | No home nebuliser | 282 | 29.1 | 1.0 | Have home nebuliser | 67 | 50.7 | 2.51 (1.41-4.48) P < 0.01 | No peak flow meter | 296 | 26.6 | 1.0 | Have peak flow meter | 53 | 71.7 | 6.99 (3.50-14.14) P <0.01 | Don't always understand asthma | 85 | 16.5 | 1.0 | Understand asthma | 264 | 38.6 | 3.19 (1.65-6.27) P < 0.01 | Not enough information | 117 | 15.5 | 1.0 | Enough information | 232 | 55.5 | 6.77 (3.98-11.56) P <0.01 | Feel bad getting help | 47 | 21.3 | 1.0 | Getting help OK | 302 | 35.1 | 2.26 (1.04-4.90) P = 0.04 | No hospital admission within 12 months | 334 | 32.1 | 1.0 | Hospital admission | 15 | 60.0 | 3.17 (1.00-10.32) P = 0.05 | No days lost from work/school | 302 | 31.1 | 1.0 | Days lost from work/school | 47 | 46.8 | 1.95 (1.00-3.79) P = 0.05 |
| CS = corticosteroids.
* Variables tested but not found to be significant were: sex, age, migrant status, educational level, socioeconomic status, weight, access to doctor, uncomfortableness dealing with asthma, perception of dealing with asthma, comfortableness in going to hospital if required, exercise, smoking status, and smoking bans at home.
†Only those who regularly used preventive medicine for their asthma (n = 265) were asked about its effects.
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2: Variables associated with the likelihood of wakening with asthma on a weekly basis or more frequently* | Variable | Subjects (n = 349) | % | Odds ratio |
| Wrong about CS effect | 103 | 8.7 | 1.0 | Correct about CS effect | 162† | 25.8 | 3.63(1.60-8.45) P < 0.01 | No home nebuliser | 282 | 12.8 | 1.0 | Have home nebuliser | 67 | 30.8 | 1.96 (0.96-3.95) P = 0.04 | No peak flow meter | 296 | 12.8 | 1.0 | Have peak flow meter | 53 | 30.8 | 3.02 (1.45-6.27) P < 0.01 | Not easy to see doctor | 60 | 33.3 | 1.0 | Easy access to doctor | 289 | 11.8 | 0.27 (0.13-0.53) P < 0.01 | Uncomfortable taking care of asthma | 48 | 36.2 | 1.0 | Comfortable taking care | 301 | 12.3 | 0.25 (0.12-0.52) P < 0.01 | Perception of self-management good | 38 | 13.7 | 1.0 | Perception poor | 311 | 29.4 | 2.62 (1.09-6.25) P = 0.0 3 | No days lost from work/school | 302 | 13.6 | 1.0 | Days lost from work/school | 47 | 27.7 | 2.42 (1.11-5.25) P = 0.02 |
| CS = Corticosteroids.
* Variables tested but not found to be significant were: sex, age, migrant status, educational level, socioeconomic status, weight, regular use of corticosteroids, not always understanding asthma, not having enough information, feeling bad getting help, comfortableness in going to hospital if required, exercise, smoking status, smoking bans at home, and having an asthma action plan.
†Only those who regularly used preventive medicine for their asthma (n = 265) were asked about its effects.
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3: Logistic regression analyses of variables associated with ownership of an asthma management plan and frequency of wakening at night with asthma (n = 349) | Variable | Odds ratio |
| Asthma plan | | No peak flow meter | 1.0 | Have peak flow meter | 4.32 (2.91-8.43) | Don't always understand asthma |
1.0 | Understand asthma | 2.01 (1.01-4.02) | Not enough information | 1.0 | Enough information | 4.32 (2.11-8.85) | Don't use corticosteroid regularly | 1.0 | Use corticosteroid regularly | 2.08 (1.21-3.58) | Waken weekly (non-smokers) | No peak flow meter | 1.0 | Have a peak flow meter | 7.32 (2.59-20.07) | Not enough information | 1.0 | Enough information | 0.12 (0.04-0.39) | Uncomfortable taking care of asthma | 1.0 | Comfortable taking care | 0.30 (0.14-0.77) | No asthma action plan | 1.0 | Asthma action plan | 2.79 (1.09-7.15) | Waken weekly (smokers) | | Not easy to see doctor | 1.0 | Easy to see doctor | 0.28 (0.10-0.79) |
| All results significant, P < 0.05.
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