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Waste not, want not – ethics, stewardship and patient care

By Dr Michael Gannon

When it comes to managing health care resources, doctors must balance their primary ethical obligation to care for the patient with their secondary obligation to use health care resources wisely.

At times, these obligations may conflict – but focussing on stewardship allows doctors to find an equitable and realistic balance between the needs of the patient and the need for the wider community to keep health care affordable.

The essence of stewardship is avoiding waste – it is not about denying care based on scarcity of resources, otherwise known as rationing.

How do we become effective stewards of health care and avoid waste without being seen to ration care?

How do we deal with health care administrators, third party payers and governments who place unreasonable constraints on our ability to make treatment recommendations based on our patients’ health care needs, rather than the cost of care?

How do we manage patients (and family members) who make unreasonable health care demands, requesting treatments that are simply ineffective or inappropriate for their health care needs?

And what about the ever present fear of litigation – isn’t ‘defensive medicine’ the best way to practice?

At this year’s AMA National Conference, I chaired a policy session on stewardship, Waste Not, Want Not: Ethics, Stewardship and Patient Care.

The purpose was to assist doctors to become better stewards of our health care resources through learning how to:

  • identify the medico-legal challenges to effective stewardship;
  • communicate with patients about resource use; and
  • participate in initiatives that identify and discourage ineffective care at the institutional level, as well as in the wider community.

The session’s presenters, Dr Ian Scott, Dr Sara Bird and Dr Lynn Weekes, were truly engaging.

Dr Scott, Director of the Department of Internal Medicine and Clinical Epidemiology at Princess Alexandra Hospital in Brisbane, outlined 10 clinician-led strategies to maximise value in Australian health care.

Dr Bird, Manager of the Medico-Legal and Advisory Services of MDA National, provided a medico-legal perspective on stewardship in relation to the practice of defensive medicine.

Dr Weekes, the CEO of NPSMedicineWise, presented the ChoosingWiselyAustralia campaign, whose goal is to enhance quality care by reducing unnecessary care.

We are truly indebted to our presenters and appreciate the time they took to engage with our delegates during a lively question and answer session following their presentations.

The AMA’s job now is to develop a policy on ethics and stewardship to assist our advocacy.

We want to ensure there is a culture of stewardship within the medical profession.

This clearly begins at medical school and continues throughout a doctor’s career with continuing professional development.

Doctors need to be informed of the cost of treatments and procedures, and be guided in making responsible treatment recommendations that balance efficiency with the primacy of patient care.

We also need to ensure that any system-level initiatives to reduce wastage involve the profession, and do not compromise our professional judgement and clinical independence to act in the best interests of individual patients and advocate for the wider public health. 

I strongly encourage all members to visit the AMA website and view the presentations, along with the question and answer session from the policy discussion session Waste Not, Want Not: Ethics, Stewardship and Patient Care. They can be viewed at media/ama-national-conference-30-may-2015-session-2.

 

Signs not good for flu season

Parts of Australia are on track for their worst flu seasons in years, with infection rates in the north and south of the country already far ahead of last year.

So far this year, 9213 laboratory-confirmed cases of the disease have been notified to health authorities, compared with 6225 cases at the same point last year.

Queensland (2757 confirmed cases) and South Australia (1742 cases) have, proportionately, been the hardest hit, while the rate of infections in both New South Wales and Victoria have so far been relatively low.

But the slow start to the flue season in the two most populace states is little cause for complacency.

The Influenza Specialist Group warned that the flu season had not yet begun in earnest, and was likely to develop in the next four weeks.

Evidence from last year suggests there is every reason to be concerned.

While there were less than laboratory-confirmed cases by the end of May 2014, that number quickly accelerated as flu season hit, and by year’s end there were 67,854 confirmed cases nationwide, almost double the long-term average of 34,523.

Promisingly, early figures suggest vaccinations are helping to reduce the number and severity of infections.

The pilot Flu Tracking surveillance system, a joint University of Newcastle, Hunter New England Area Health Service and Hunter Medical Research initiative that collects data from a weekly online survey, has so far identified only low levels of influenza infection.

But it found that 3.4 per cent of those not vaccinated against the flu suffered fevers and coughs, and 2.1 per cent had to take time off work, while among those vaccinated, 2.7 per cent had coughs and fevers and 1.6 per cent reported having to take sick leave.

The results underline calls from AMA Vice President Dr Stephen Parnis for people, particularly elderly and vulnerable patients and health professionals, to make sure they are vaccinated against the flu.

Dr Parnis said it was important for doctors, nurses and other health workers to get the flu vaccine, for the sake of their own health as well as that of their patients.

The National Seasonal Influenza Immunisation Program started late this year, the delay caused by a rush to include vaccines covering two new strains of the virus one of which caused havoc in the northern hemisphere.

In the US alone, around 100 children were reported to have died from the flu during the northern flu season, and there was also widespread illness among the elderly.

For the first time under the national immunisation program, Australians have access to single-dose vaccines covering the four most common flu viruses, including three quadrivalent formulations.

The World Health Organisation and the Australian Influenza Vaccine Committee have recommended that vaccines this year cover one existing and two new strains – the California H1N1-like virus that has been in circulation since 2010, the Switzerland H3N2-like virus and the Phuket 2013-like virus.

But Chief Medical Officer Professor Chris Baggoley has been forced to issue an urgent warning to health professionals after it was revealed that at least nine young children had been injected with the Fluvax vaccine despite explicit directions from the Government and the manufacturer that it was potentially dangerous to use on those younger than five years.

The ban has been in place since several young children given Fluvax in 2012 suffered fevers and febrile convulsions, and part of the reason for the delay in starting this year’s flu immunisation program was to ensure that suitable vaccines were available for the very young.

Adrian Rollins

 

[Case Report] Hypoplastic left heart in the 6500-year-old Detmold Child

Palaeopathology, the scientific study of ancient diseases, has evolved in recent decades into a modern scientific area and become part of medical research. Virtual autopsies, like those undertaken in modern forensic institutes, can be done on ancient mummies to examine injuries, genetic defects, acquired diseases, and determine sex.1

PM dodges evidence to take tilt at windmills

Prime Minister Tony Abbott has linked wind farms to adverse health effects despite the lack of scientific evidence to back the claim.

Declaring that he would like to see the number of wind generators around the country cut, Mr Abbott told Sydney broadcaster Alan Jones that he understood the concerns of those who complained inaudible low frequency sound generated by wind farms caused headaches, nausea, sleeplessness and other health problems.

“I do take your point about the potential health impact of these things,” the Prime Minister said. “When I have been up close to these wind farms, not only are they visually awful, but they make a lot of noise.”

Mr Abbott made his comments just days after acoustic experts told a Senate inquiry there was no evidence that people were physically affected by low-frequency sound like that emitted by wind turbines.

Members of the Association of Australian Acoustic Consultants told the Senate inquiry into wind turbines on 10 June that several studies detected no perceivable physical reaction to so-called infrasound.

“We can measure the level of infrasound in a windfarm, and we know what that level is, and we can measure it inside rooms, and that has been done on a number of occasions,” Chair of the AAAC’s windfarm subcommittee, Chris Turnbull, said.

“If we replicate that level at the same character, and the same frequencies, that person is essentially exposed to the same level of infrasound in terms of character and level [as a windfarm],” he said. “To date, all of the studies have suggested that there is no reaction to that level of infrasound.”

The testimony came weeks after the National Health and Medical Research Council released the results of a three-year investigation involving the review of more than 4000 papers that concluded there “is currently no consistent evidence that wind farms cause adverse effects in humans”.

“Overall, the body of evidence that directly examined wind farms and their potential health effects was small and of poor quality,” the NHMRC reported. “There is consistent by poor quality evidence that wind farm noise is associated with annoyance, as well as less consistent, poor quality direct evidence of an association between sleep disturbance and wind farm noise.”

The Council’s conclusions follow an exhaustive process involving the use of independent reviewers to scrutinise the NHMRC’s methodology in reviewing the scientific literature and evidence, as well as public consultations and a revised and updated literature review.

They echo the AMA’s own conclusion that there is no evidence to back assertions that wind farms cause headaches, dizziness, tachycardia or other health problems.

In a Position Statement released last year, the AMA said that if wind farms did directly cause adverse health effects, there would be a much stronger correlation between reports of symptoms and proximity to wind farms than currently existed.

The AMA Position Statement on Wind Farms and Health 2014, which can be viewed at position-statement/wind-farms-and-health-2014, concluded that “available Australian and international evidence does not support the view that the…sound generated by wind farms…causes adverse health effects”.

The NHMRC, however, has not closed the book on the issue, indicating that further research into the possible health effects of wind farms on people within 1500 metres “is warranted”.

The latest furore over the health effects of wind farms has come just weeks after the Government negotiated a cut in the Renewable Energy Target (RET) from 41,000 to 33,000 gigawatt hours.

Mr Abbott lamented that the Government had been unable to secure an even deeper reduction, which was arrived at following months of haggling between the major parties that destabilised the renewable energy industry and deterred investors.

“What we did recently in the Senate was reduce…capital R-E-D-U-C-E, the number of these things that we are going to get in the future,” the Prime Minister said, “I would frankly have liked to have reduced the number a lot more, but we got the best deal we could out of the Senate, and if we hadn’t had a deal…we would have been stuck with even more of these things.”

Adrian Rollins

Sky-high Indigenous imprisonment rates a health disaster

Imprisonment is rarely good for health, particularly if you are an Indigenous Australian.

But, tragically, Indigenous people are far more likely to be locked up than other Australians, exacerbating health problems and sending many into a downward spiral of illness and premature death.

The figures are stark.

In 1991, the Royal Commission into Aboriginal Deaths in Custody identified extraordinary rates of incarceration among Indigenous Australians compared with the rest of the community, and established a link with poor general and mental health.

But, despite the Royal Commission’s recommendations, the situation has got significantly worse.

Among Aboriginal and Torres Strait Islanders, the adult imprisonment rate soared 57 per cent between 2000 and 2013, while juvenile detention rates increased sharply between 2000-01 and 2007-08, and have fluctuated ever since at around 24 times the rate for non-Indigenous youth.

Currently, almost a third of all prisoners are Aboriginal, including 48 per cent of juveniles held in custody.

Not only that, but the rate of reoffending is astronomical. In fact, repeat offending and re-incarceration is a large contributor to this high rate of imprisonment.

Shocking though these statistics are, they do not begin to describe the suffering and distress experienced by incarcerated Indigenous people, their families and communities.

Mental illness and mental health problems, including alcohol and drug abuse, contribute significantly to their rates of imprisonment and recidivism.

Being incarcerated, in turn, exacerbates existing conditions in prisoners. And, without appropriate and effective treatment within prison, mental illness and mental health issues are a major factor in poor outcomes for people released from prison, including suicide, death from overdose or injury and reoffending.

Social disadvantage and a history of upheaval culminating in trauma and grief clearly contribute to the high level of imprisonment among Indigenous Australians.

Many studies published since 2000 have highlighted that Aboriginal people already have a higher prevalence of significant psychological distress when compared to the non-Aboriginal population, disrupting social and emotional wellbeing and causing post-traumatic stress disorder, depression and substance abuse.

Alcohol is well-known as a common precursor to offending among Indigenous Australians, with indications that it could be a factor in up to 90 per cent of all Indigenous contacts with the justice system.

Once incarcerated, Aboriginal prisoners are at greater risk of developing or exacerbating a mental illness. Ninety-three per cent of Aboriginal women in jail, and 81 per cent of men, have some form of mental illness. Altogether, 30 per cent of Aboriginal women and 20 per cent of Aboriginal men in jail have attempted suicide, and 33 per cent of Aboriginal women and 12 per cent of Aboriginal men suffer from post-traumatic stress disorder.

It is apparent that there is a complete lack of appropriate services to meet complex social, cultural and health needs.

A clearer understanding of some of the drivers of incarceration of Aboriginal and Torres Strait Islander men and women is needed, as are better interventions through culturally appropriate health and disability services before entering custody, during imprisonment, at the time of release and post-release.

There are several things that can and should be done to end this vicious cycle of illness, abuse and incarceration for Indigenous people, including making it much easier for Indigenous offenders to get into diversion programs for alcohol and drug-related offences; establishing Indigenous-specific diversion programs linked to Aboriginal community controlled services; improving the level of health services for Indigenous prisoners; comprehensive health screening for those entering prison, and channelling them into appropriate treatment; and research and develop performance indicators to guide effective health services for Indigenous offenders.

These matters will be considered in the AMA’s Indigenous Health Report Card, which will be released later this year.

 

 

 

Briefs – 2 June 2015

Medical Research Future Fund on the way

More than a year after it was first announced, the Federal Government has finally introduced legislation to establish the Medical Research Future Fund.

The Fund, which the Government expects to grow to $20 billion by the end of the decade, has been under a cloud because several of the savings measures originally intended to finance it – particularly the GP co-payment – have been dumped or not yet passed.

But AMA President Associate Professor Brian Owler recently challenged the Government to stop dithering on the issue and set the Fund up, pointing out that a large swag of the measures designated to finance it were in place.

In introducing the enabling legislation, Treasurer Joe Hockey said the Fund would receive an initial endowment of $1 billion from the Health and Hospitals Fund and would build to reach $20 billion in 2019-20.

Mr Hockey said the first $10 million from the Fund would be distributed next financial year, and estimated that $400 million would be disbursed in the next four years.

The Fund will be managed by the Future Fund Board of Guardians, while a separate board will be established to provide expert advice on medical research priorities and strategy.

Adrian Rollins

Mersey Hospital two-year funding deal

Funding for Tasmania’s Mersey Community Hospital has been extended for two years following an in-principle agreement struck between the Commonwealth and Tasmanian governments.

Health Minister Sussan Ley said the Federal Government would pay its State counterpart $148.5 million to continue to manage and operate the hospital over the next two years.

The Mersey Hospital became the first and only public hospital to be directly funded by the Commonwealth when the Howard Government controversially assumed responsibility for the institution after the Tasmanian Government wanted to downgrade it to a day procedure centre, with only a limited overnight emergency capacity.

The intervention, which occurred just weeks before the 2007 Federal election that the Howard Government lost, was unprecedented at the time, and has not been repeated since.

Ms Ley said the deal provided certainty for the hospital while the Tasmanian Government undertakes reforms of the State health system.

Adrian Rollins

Govt promises cheaper, better medicines sooner

The Federal Government claims patients will get vital medicines more cheaply and much quicker following changes to the way pharmaceuticals are supplied under deals with industry it claims will save taxpayers $6.6 billion over the next five years.

Health Minister Sussan Ley said patients could save more than $100 a year under agreements the Commonwealth has struck with the pharmaceutical industry, while efforts to accelerate the listing of new medicines on the Pharmaceutical Benefits Scheme were beginning to pay off.

Ms Ley has signed a five-year deal with the Generic Medicines Industry Association to slash the cost of generic pharmaceuticals, including halving the price of common medicines for cholesterol, heart conditions and depression, potentially saving taxpayers about $3 billion over five years.

According to the Government, the changes mean that from October next year the cost of the widely-used cholesterol drug Atorvastatin could drop from $14.60 to $10.68, while the heart medicine Clopidogrel would fall from $14.01 to $10.38 and the depression treatment Venlafaxine would cost $11.65 instead of $16.52.

But consumer groups have warned that the decision to pay pharmacists a flat $3.49 fee (indexed to inflation) for dispensing medications instead of receiving a percentage of the price, will push the cost of many cheap medicines up.

The Consumer Health Forum said figures in the agreement showed consumers would “directly contribute” $8.2 billion to pharmacy owner remuneration in the next five years – around 34 per cent of the $23.6 billion to be paid to pharmacies for PBS medicines.

Forum Chief Executive Leanne Wells said that under the current agreement, consumers contributed 29 per cent of total payments.

The agreement includes bigger incentives for pharmacists to offer patients the option of using cheaper generic versions of medicines, backed by a $20 million media campaign.

The Government has already obtained the pharmacy industry’s grudging acceptance of an optional $1 discount on patient co-payments, and it has also negotiated agreement on lower prices for branded drugs for which there is no generic substitute.

In a measure expected to save about $1 billion, the Government will cut the price it is prepared to pay for branded medicines by 5 per cent after they have been listed on the Pharmaceutical Benefits Scheme for five years.

The Commonwealth is also implementing changes to how it calculates the price it pays for medicines when they go off-patent. Currently, the Government determines market price using a weighted average of the price of all brands.

But under the new arrangement, expected to come into effect from October next year, the original ‘premium’ brand will be excluded from the calculation, driving the average price down.

“Removing originator brands from price calculations for everyday medicines could see the price of common generic drugs halve for some patients, whilst also saving taxpayers $2 billion over five years,” Ms Ley said.

The Government also expects to save $610 million over five years by closing loopholes around the way combination drugs – where two separate medicines are combined to create a new patented medication – are subsidised.

As previously flagged, the Commonwealth also expects to save $500 million remove several low-cost over-the-counter medicines such as everyday painkillers from the PBS.

The Minister said Government efforts to speed up the listing of new medicines were also working, pointing out that there had been 652 new and amended listings on the PBS since it was elected in September 2013, compared with 331 listings during the previous three years.

Ms Ley said the chief independent scientific adviser on medicines, the Pharmaceutical Benefits Advisory Committee took an average of just 17 weeks to recommend whether or not a drug should be listed on the PBS – a turnaround that was one of the fastest in the world.

“We understand the importance of ensuring Australians have fast access to affordable medicines when and where they need them, and we are investing heavily to deliver this,” the Minister said.

PBAC’s operations have been reinforced by the appointment of leading cardiovascular disease specialist Professor Andrew Wilson as Chair, and Ms Ley said the Government would soon introduce legislation to expand PBAC’s membership from 18 to 21 in recognition of its increasing workload and the complexity of matters being considered by it.

“Expanding the capacity of the PBAC to deal with complex medicines is another important step to ensure Australians benefit from new medicines sooner,” she said.

And the Government expects Australia patients to get improved access to leading-edge medications with the launch of a website providing a one-stop shop regarding clinical trials happening around the world.

Evidence indicates that almost half of all phase three clinical trials conducted in Australia fell short of their patient recruitment targets, and Ms Ley said the website would make it easier for patients to find out about trials and take part in ground-breaking medical research.

Adrian Rollins

 

Dependence in a national sample of Aboriginal and Torres Strait Islander daily smokers

In 1988, the United States Surgeon General concluded that nicotine is the drug in tobacco that causes dependence on smoking.1 The nicotine that is delivered to the brain when smoking interacts with the habits and sensory stimuli associated with smoking to reinforce the behaviour.2 Genetic factors also influence the biological processes of nicotine delivery, metabolism and dependence.2

Clinicians and scientists have sought indicators to predict the success or failure of quit attempts, beyond indicators of motivation. The best such measure is the Heaviness of Smoking Index (HSI),3 or at least one of its two component items: cigarettes per day (CPD) and the time to first cigarette (TTFC) after waking.4,5 These two items are a subset of the six items in the Fagerström Test for Nicotine Dependence.6 There is also evidence that strong cravings (both before and after quitting) and shorter periods of abstinence on past attempts may independently predict failure of quit attempts.79 Identifying smokers who are most likely to have difficulty quitting is important in determining who might benefit from medications to assist cessation.

The age-standardised prevalence of smoking is 2.6 times higher among Aboriginal and Torres Strait Islander people as among other Australians.10 While both smoking prevalence and smoking intensity (based on self-reported CPD) are falling among the Aboriginal and Torres Strait Islander population, measures of dependence may differently predict which smokers will have the most difficulty quitting in this high-prevalence population where smoking is more normalised.10,11 Two small research reports have suggested that over-reliance on strategies that use stop-smoking medications may not be appropriate in this population, as nicotine dependence may be lower than in other populations.12,13 One of these studies found only low per capita consumption of cigarettes in remote Aboriginal communities,12 and the other found that only a small proportion of a sample of pregnant Aboriginal and Torres Strait Islander women who smoked were highly dependent.13

Here, we use a large national study of Aboriginal and Torres Strait Islander smokers to examine different indicators of dependence in this population and their association with sustained quit attempts, and to make comparisons with a national sample of Australian smokers.

Methods

The Talking About The Smokes (TATS) project surveyed 1392 Aboriginal and Torres Strait Islander daily smokers using a quota sampling design in the communities served by 34 Aboriginal community-controlled health services (ACCHSs) and one community in the Torres Strait, and has been described elsewhere.14,15 Briefly, the 35 sites were selected based on the distribution of the Aboriginal and Torres Strait Islander population by state or territory and remoteness. In 30 sites, we aimed to interview 50 smokers or ex-smokers who had quit ≤ 12 months before, and 25 non-smokers, with equal numbers of women and men and of those aged 18–34 and ≥ 35 years. In four major-city sites and the Torres Strait community, the sample sizes were doubled. People were excluded if they were aged less than 18 years, not usual residents of the area, staff of the ACCHS, or deemed unable to complete the survey. In each site, different locally determined methods were used to collect a representative, although not random, sample.

Baseline data were collected from April 2012 to October 2013. Interviews were conducted face to face by trained interviewers, almost all of whom were members of the local Aboriginal and Torres Strait Islander community. The survey was completed on a computer tablet and took 30–60 minutes. The baseline sample closely matched the national distribution of age, sex, jurisdiction, remoteness, quit attempts in the past year and number of daily cigarettes smoked reported in the 2008 National Aboriginal and Torres Strait Islander Social Survey (NATSISS). However, there were inconsistent differences in some socioeconomic indicators: our sample had higher proportions of unemployed people, but also higher proportions who had completed Year 12 and who lived in more advantaged areas.14

The TATS project is part of the International Tobacco Control Policy Evaluation Project (ITC Project) collaboration. Interview questions were closely based on those in ITC Project surveys, especially the Australian surveys.16 TATS project results were compared with those for 1010 daily smokers surveyed in Wave 8.5 of the Australian ITC Project between September 2011 and February 2012. That survey was completed by random digit telephone dialling or on the internet, and included smokers contacted for the first time and those who were recontacted after completing surveys in previous waves.

We asked questions about daily smokers’ usual smoking behaviour and variations in tobacco consumption, how easy it would be to not smoke, difficulties during their most recent quit attempt (eg, strong cravings, being around others who smoke), the duration of their longest quit attempt (to assess if any attempt had been sustained for at least 1 month) and sociodemographic factors. The questions are described in detail in Appendix 1.

The HSI was coded 0 to 6 based on the sum of the responses to the two questions about CPD and TTFC. These items were each coded as 0 (0–10 CPD; TTFC, ≥ 61 min), 1 (11–20 CPD; TTFC, 31–60 min), 2 (21–30 CPD; TTFC, 6–30 min) or 3 (≥ 31 CPD; TTFC, ≤ 5 min).3 We categorised HSI as low (0–1), moderate (2–3) or high (4–6).17,18 We also assessed the three criteria for dependence given in the Royal Australian College of General Practitioners (RACGP) cessation guidelines: TTFC ≤ 30 min, > 10 CPD, and withdrawal symptoms on previous quit attempts (defined in our sample as strong cravings during the most recent quit attempt).2

The project was approved by three Aboriginal human research ethics committees (HRECs) and two HRECs with Aboriginal subcommittees: Aboriginal Health & Medical Research Council Ethics Committee, Sydney; Aboriginal Health Research Ethics Committee, Adelaide; Central Australian HREC, Alice Springs; HREC for the Northern Territory Department of Health and Menzies School of Health Research, Darwin; and the Western Australian Aboriginal Health Ethics Committee, Perth.

Statistical analyses

We calculated the percentages and frequencies of responses to the TATS project questions, but did not include confidence intervals for these as it is not considered statistically acceptable to estimate sampling error in non-probabilistic samples. Therefore, we could not assess the statistical significance of differences with the Australian ITC Project results. The results for daily smokers in the Australian ITC Project were directly standardised to the distribution of age and sex of Aboriginal and Torres Strait Islander smokers reported in the 2008 NATSISS.

Within the TATS project sample, we assessed the association between sociodemographic variables and HSI using χ2 tests adjusted for the sampling design, using the 35 sites as clusters and the age–sex quotas as strata in Stata 13 (StataCorp) survey [SVY] commands.19 We assessed the association between indicators of dependence and sustained quit attempts using simple logistic regression, with confidence intervals adjusted for the sampling design and P values calculated for each variable using adjusted Wald tests.

Reported percentages and frequencies exclude those refusing to answer, answering “don’t know”, or for whom the question was not applicable (eg, questions about the most recent quit attempt excluded those who had not made an attempt in the past 5 years). Less than 2% of daily smokers answered “don’t know” or refused to answer each of the questions analysed here, except that 18 smokers (2.0%) answered “don’t know” to the question about difficulty in saying no when offered a cigarette during their most recent quit attempt, and 32 (2.3%) refused to answer the question about being unable to afford to buy cigarettes.

Results

There was little difference in the mean HSI scores for daily smokers in the TATS project compared with those in the Australian ITC Project (2.62 v 2.64; 95% CI, 2.45–2.83), but the TATS sample had fewer low and high scores and more moderate scores (Box 1). A higher proportion of smokers in the TATS project smoked 10 or fewer cigarettes per day (40% v 33.4%), but more also smoked their first cigarette within 30 minutes of waking (75% v 64.6%; 95% CI, 58.8%–70.0%). Lower proportions of Aboriginal and Torres Strait Islander smokers reported having strong urges to smoke at least several times a day (51% v 60.7%) or that it would be very hard to quit (39% v 47.9%).

Within the TATS sample, older smokers were more likely to have higher HSI scores, as were smokers who were not in the labour force, those with less education, those from both the most and least disadvantaged areas, and Aboriginal smokers compared with Torres Strait Islander smokers (Box 2).

Box 3 presents the results for questions that were only asked in the TATS project. Nearly half the smokers (47%) reported finding it very or extremely hard to go without smoking for a whole day, and most reported experiencing difficulties during their most recent quit attempt. A quarter (24%) of daily smokers had all three of the RACGP indicators of dependence.

Among the 61% of smokers in the TATS sample (833/1371) who had made a quit attempt in the past 5 years, all the indicators of dependence, except CPD and strong urges, were associated with being less likely to have made a sustained quit attempt of at least 1 month (Box 4). The indicators with the strongest negative associations with making a sustained quit attempt were the smokers’ assessments of how hard it would be to quit and their difficulties during the most recent quit attempt. Although the HSI and the RACGP criteria of dependence were negatively predictive of making a sustained quit attempt, CPD — one of their component measures — was not.

Nearly half the daily smokers in the TATS sample (45%, 606/1354) reported being unable to buy cigarettes for at least a few days in each fortnight before pay day, and 23% (314/1354) less often, while for 32% (435/1354) this was never a problem. When smokers were unable to buy them, 37% (342/916) reported they were often or very often given cigarettes, and 50% (460/916) were sometimes given them. As a result, 27% (245/911) said they smoked the same amount as usual when unable to buy cigarettes, while 50% (456/911) smoked a bit less and only 23% (210/911) smoked a lot less or not at all.

Compared with Australian smokers in the ITC Project, fewer Aboriginal and Torres Strait Islander smokers in the TATS project reported that the amount they smoked varied from day to day (42% [580/1392] v 58.5% [95% CI, 53.1%–63.7%]), but more reported that spending money on cigarettes left them with insufficient money for food or other essentials (23% [321/1378] v 12.9% [95% CI, 8.7%–18.6%]).

The Aboriginal and Torres Strait Islander smokers whose smoking led to insufficient money for essentials were less likely to have made sustained attempts to quit (odds ratio [OR], 0.70; 95% CI, 0.37–0.71; P < 0.001). Smokers who were never unable to afford cigarettes were less likely to have made a sustained quit attempt than those who were sometimes unable to buy them (OR, 0.51; 95% CI, 0.37–0.71; < 0.001). Those who said they smoked about the same as usual when they were unable to buy cigarettes were also less likely to have made a sustained quit attempt, compared with those who at such times smoked a lot less or not at all (OR, 0.61; 95% CI, 0.41–0.91; P = 0.01).

Discussion

We found mixed relationships between indicators for dependence and sustained quit attempts in our sample of Aboriginal and Torres Strait Islander smokers. Based on CPD, frequency of strong urges to smoke and perceptions of how hard it would be to quit, dependence in this population appeared lower than among all Australian smokers. In contrast, our sample had a shorter TTFC. Nevertheless, the associations we found between dependence, as measured by the HSI, and being older and socially disadvantaged were similar to those in previous cross-sectional Australian ITC Project research.20

Previous research suggests TTFC is a more useful measure of dependence and a better predictor of successful quitting than CPD, although both are predictive and may contribute independently.4,5,21,22 Consistent with this, we found that longer TTFC was associated with having made a sustained quit attempt, while CPD was not. However, we also found no association for the frequency of strong urges while still smoking, which has been shown to be associated with successful quitting in longitudinal research, performing better than the Fagerström Test for Nicotine Dependence or its components, HSI, TTFC or CPD.7,8 These findings question the utility of existing indicators of dependence to predict successful quitting in Aboriginal and Torres Strait Islander smokers.

Aboriginal and Torres Strait Islander smokers’ perceptions of greater ease in quitting (quitting self-efficacy) may be falsely optimistic, perhaps reflecting less experience of unsuccessful quit attempts.23 In 2012–2013, only 37% of Aboriginal and Torres Strait Islander adults who had ever smoked had successfully quit, compared with 63% of other Australians.10 Some of the cross-sectional association we found between quitting self-efficacy and sustained quit attempts is likely to be in the reverse direction, with those who have not been able to sustain quit attempts understandably reporting that quitting will be harder. However, in other longitudinal research of the ITC Project, quitting self-efficacy has been associated with preventing relapses, both before and after a month.7 Nevertheless, we can take advantage of this optimism to encourage quit attempts.

Most Aboriginal and Torres Strait Islander smokers reported withdrawal symptoms (cravings) and situational difficulties during their most recent quit attempt, which have been described in more detail in previous qualitative research.24 It is notable that questions about the most recent quit attempt were consistently stronger predictors of being unable to sustain quit attempts than were traditional measures of dependence based on typical daily smoking patterns. Our results are consistent with more detailed recent research in other settings, which suggested that the components of the HSI are only predictive of early relapses in the first weeks of a quit attempt, whereas cravings and situational cues (such as the number of close friends who smoke) are important after 1 month.7,25

Current clinical guidelines recommend that clinicians ask smokers not only about CPD and TTFC, but also about their past unsuccessful quit attempts.26,27 Beyond emphasising the utility of the existing question about difficulties experienced during past attempts, we recommend waiting for further research on how the different measures prospectively predict quitting success before suggesting changes to the guidelines for Aboriginal and Torres Strait Islander smokers.

It is possible that estimates of CPD might be less accurate among Aboriginal and Torres Strait Islander smokers, where the relationship between purchase and consumption is more complicated because sharing and being unable to buy cigarettes are common. Two small studies of Aboriginal and Torres Strait Islander people showed that self-reported CPD is associated with urinary cotinine levels, but did not discuss whether the association was similar to that in other populations.28,29 However, we found that Aboriginal and Torres Strait Islander smokers were less likely than all Australian smokers to report variation in the number of cigarettes smoked each day, so it is difficult to suggest that such day-to-day variations are the reason for CPD being less useful in this setting. Those who managed to maintain usual consumption levels when they were unable to buy cigarettes were less likely to have sustained a quit attempt than those who smoked less at these times. Sharing of cigarettes therefore seems to increase in response to the inability to buy cigarettes among more dependent smokers, as has been reported elsewhere in response to pay cycles and the increased cost of cigarettes after tobacco excise rises.24,30

Strengths and limitations

The main strength of our study is its large national sample of Aboriginal and Torres Strait Islander smokers, providing detailed information about dependence directly from a population with a high prevalence of smoking. However, it is a non-random, albeit broadly representative, sample and caution is needed in making comparisons with the Australian ITC Project sample.

The cross-sectional associations we found warrant confirmation from future longitudinal analyses. There may have been some reverse causation, with past experiences of sustaining or not sustaining quit attempts influencing answers to the questions about dependence. Further, sustained attempts may have occurred years earlier, and the smokers’ dependence may have since changed. The use of past sustained quit attempts as an outcome necessarily meant excluding those who had not made any attempts. Predicting future quitting in this subgroup will be important but cannot include measures based on non-existent past attempts.

Our self-reported data are probably limited by incomplete recall of past quit attempts, and both forgetting and misremembering of symptoms. The effect of most of these biases will be to weaken reported associations, leading to greater confidence in the significant associations but requiring caution in the implications of findings of no association. For example, the lack of association of strong urges to smoke with sustained quitting found here, in contrast to other research, requires further exploration.8 More Aboriginal smokers than other Australian smokers use roll-your-own cigarettes, which may have caused greater misclassification bias of estimates of CPD.31 Future longitudinal analyses of the predictive association of these dependence measures with relapses and successful quitting should also control for the moderating effect of stop-smoking medication, which we were not able to do.25

1 Comparison of indicators of nicotine dependence among Aboriginal and Torres Strait Islander daily smokers and those in the Australian population*

Indicator of dependence

Talking About The Smokes project, % (frequency)

Australian ITC Project,
% (95% CI)


Cigarettes per day

   

1–10

40% (547)

33.4% (27.9%–39.3%)

11–20

39% (528)

42.2% (36.8%–47.7%)

21–30

18% (242)

18.5% (14.7%–22.9%)

≥ 31

4% (54)

6.0% (3.7%–9.6%)

Time to first cigarette

   

More than 60 minutes

9% (125)

16.1% (11.9%–21.3%)

31–60 minutes

16% (220)

19.4% (15.3%–24.2%)

6–30 minutes

64% (884)

46.7% (41.2%–52.3%)

5 minutes or less

11% (145)

17.9% (13.6%–23.2%)

Heaviness of Smoking Index (HSI) score

   

Low (0–1)

17% (234)

24.5% (19.5%–30.3%)

Moderate (2–3)

59% (796)

44.6% (39.2%–50.1%)

Heavy (4–6)

24% (328)

30.9% (25.8%–36.5%)

How often do you get strong urges to smoke?

   

Never or less than daily

21% (291)

12.4% (9.0%–16.9%)

Daily

27% (375)

26.9% (21.9%–32.5%)

Several times a day or more often

51% (706)

60.7% (54.9%–66.2%)

How easy or hard would it be for you to quit?

   

Very or somewhat easy

17% (234)

10.4% (6.9%–15.4%)

Neither easy nor hard

11% (156)

7.9% (5.0%–12.2%)

A little bit hard

32% (439)

33.7% (28.8%–39.0%)

Very hard

39% (537)

47.9% (42.3%–53.6%)


ITC Project = International Tobacco Control Policy Evaluation Project. * Percentages and frequencies exclude refused responses and “don’t know” responses. † Results are for Aboriginal and Torres Strait Islander daily smokers (n = 1392) in the baseline sample of the Talking About The Smokes project (April 2012 – October 2013). ‡ Results are for daily smokers (n = 1010) in the Australian population from Wave 8.5 of the Australian ITC Project (September 2011 – February 2012) and were age- and sex-standardised to smokers in the 2008 National Aboriginal and Torres Strait Islander Social Survey.

2 Heaviness of Smoking Index among Aboriginal and Torres Strait Islander daily smokers, by sociodemographic factors (n = 1392)*

 

Heaviness of Smoking Index score


 

Characteristic

Low, % (frequency)

Moderate, % (frequency)

High, % (frequency)

P


Total daily smokers

17% (234)

59% (796)

24% (328)

 

Age (years)

     

< 0.001

18–24

22% (60)

68% (187)

11% (29)

 

25–34

21% (76)

57% (209)

23% (84)

 

35–44

14% (45)

58% (186)

28% (92)

 

45–54

16% (37)

56% (132)

28% (67)

 

≥ 55

10% (16)

53% (82)

36% (56)

 

Sex

     

0.12

Female

19% (134)

59% (417)

22% (153)

 

Male

15% (100)

58% (379)

27% (175)

 

Indigenous status

     

0.027

Aboriginal

16% (195)

59% (717)

25% (297)

 

Torres Strait Islander or both

26% (39)

53% (79)

21% (31)

 

Labour force status

     

< 0.001

Employed

21% (101)

58% (274)

21% (97)

 

Unemployed

18% (82)

63% (293)

19% (89)

 

Not in labour force

12% (51)

54% (227)

34% (142)

 

Highest education attained

     

0.036

Less than Year 12

14% (101)

59% (411)

27% (188)

 

Finished Year 12

19% (68)

58% (204)

23% (80)

 

Post-school qualification

22% (63)

59% (172)

20% (57)

 

Treated unfairly because Indigenous in past year

     

0.72

Never

18% (106)

57% (335)

25% (145)

 

At least some of the time

17% (124)

59% (439)

24% (176)

 

Remoteness

     

0.34

Major cities

15% (52)

60% (214)

25% (88)

 

Inner and outer regional

19% (137)

59% (420)

22% (158)

 

Remote and very remote

16% (45)

56% (162)

28% (82)

 

Area-level disadvantage

     

0.027

1st quintile (most disadvantaged)

16% (83)

57% (290)

27% (137)

 

2nd and 3rd quintiles

21% (121)

59% (342)

21% (121)

 

4th and 5th quintiles

11% (30)

62% (164)

27% (70)

 

* Percentages and frequencies exclude those answering “don’t know” or refusing to answer. † P values were calculated using the χ2 test adjusted for sampling design.

3 Other indicators of nicotine dependence and difficulties during the most recent quit attempt among Aboriginal and Torres Strait Islander daily smokers

Indicator of dependence

Daily smokers, % (frequency)*


All daily smokers (n)

1392

RACGP criteria for dependence

 

None

12% (162)

One

24% (334)

Two

41% (564)

All three

24% (327)

How hard is it to go without smoking for a whole day?

 

Not at all or somewhat hard

47% (654)

Very or extremely hard

47% (657)

Not sure or never tried

6% (79)

If tried to quit in the past 5 years (n)

884

During last quit attempt

 

Had strong cravings

70% (591)

Hard to be around smokers

72% (621)

Hard to say no when offered a smoke

67% (572)

Missed the time out you get when having a smoke

51% (430)


RACGP = Royal Australian College of General Practitioners. * Percentages and frequencies exclude those answering “don’t know” or refusing to answer. † Time to first cigarette ≤ 30 min, > 10 cigarettes per day, and withdrawal symptoms on previous quit attempts (strong cravings during most recent quit attempt).

4 Association of indicators of dependence with sustaining a quit attempt for at least 1 month in a national sample of Aboriginal and Torres Strait Islander daily smokers*

Indicator of dependence

Sustained quit attempt,
% (frequency)

Odds ratio (95% CI)

P§


Total

47% (388)

   

Heaviness of Smoking Index score

   

0.046

Low (0–1)

50% (71)

1.0

 

Moderate (2–3)

48% (238)

0.91 (0.66–1.26)

 

Heavy (4–6)

38% (68)

0.60 (0.39–0.91)

 

RACGP criteria for dependence

   

0.001

None

54% (38)

1.0

 

One

57% (92)

1.12 (0.60–2.09)

 

Two

47% (133)

0.73 (0.43–1.24)

 

All three

39% (124)

0.55 (0.33–0.90)

 

Cigarettes per day

   

0.19

1–10

47% (153)

1.0

 

11–20

48% (163)

1.02 (0.75–1.38)

 

21–30

45% (57)

0.89 (0.58–1.37)

 

≥ 31

27% (9)

0.42 (0.18–0.94)

 

Time to first cigarette

   

0.024

More than 60 minutes

53% (43)

1.0

 

31–60 minutes

55% (73)

1.08 (0.57–2.03)

 

6–30 minutes

45% (235)

0.72 (0.45–1.13)

 

5 minutes or less

36% (31)

0.51 (0.27–0.94)

 

How often do you get strong urges to smoke?

   

0.49

Never or less than daily

49% (90)

1.0

 

Daily

47% (109)

0.91 (0.61–1.38)

 

Several times a day or more often

45% (184)

0.82 (0.58–1.17)

 

How hard is it to go without smoking for a whole day?

   

0.01

Not at all or somewhat hard

51% (219)

1.0

 

Very or extremely hard

42% (159)

0.69 (0.52–0.92)

 

Not sure or never tried

33% (9)

0.47 (0.22–1.05)

 

How easy or hard would it be for you to quit?

   

< 0.001

Very or somewhat easy

61% (94)

1.0

 

Neither easy nor hard

53% (46)

0.72 (0.42–1.25)

 

A little bit hard

46% (125)

0.53 (0.36–0.78)

 

Very hard

38% (120)

0.39 (0.27–0.56)

 

During most recent quit attempt

     

Did you get strong cravings?

   

< 0.001

No

59% (149)

1.0

 

Yes

42% (236)

0.49 (0.37–0.66)

 

Was it hard to be around smokers?

   

< 0.001

No

59% (133)

1.0

 

Yes

42% (252)

0.51 (0.38–0.69)

 

Was it hard to say no when offered a smoke?

   

< 0.001

No

58% (154)

1.0

 

Yes

41% (225)

0.50 (0.35–0.70)

 

Did you miss the time out you get when having a smoke?

   

0.03

No

51% (197)

1.0

 

Yes

44% (179)

0.74 (0.56–0.98)

 

RACGP = Royal Australian College of General Practitioners. * Results are based on daily smokers in the baseline sample of the Talking About The Smokes project who had made at least one quit attempt in the past 5 years (n = 833). † Percentages and frequencies exclude those answering “don’t know” or refusing to answer. ‡ Odds ratios calculated using simple logistic regression adjusted for the sampling design. § P values for the entire variable, using adjusted Wald tests.