The Chest Australia Trial: a randomised controlled trial of an intervention to increase consultation rates in smokers at risk of lung cancer

Promoting Lung Cancer Screen Decision-Making and Early Detection Behaviors: A Systematic Review and Meta-analysis

BACKGROUND

Promoting lung cancer screening (LCS) is complex. Previous studies have overlooked that LCS behaviors are stage based and thus did not identify the characteristics of LCS interventions at different screening stages.

OBJECTIVE

The aims of this study were to explore the characteristics and efficacy of interventions in promoting LCS decision making and behaviors and to evaluate these interventions.

METHODS

We conducted a study search from the inception of each bibliographic database to April 8, 2023. The precaution adoption process model was used to synthesize and classify the evidence. The RE-AIM framework was used to evaluate the effectiveness of LCS programs. Heterogeneity tests and meta-analysis were performed using RevMan 5.4 software.

RESULTS

We included 31 studies that covered 4 LCS topics: knowledge of lung cancer, knowledge of LCS, value clarification exercises, and LCS supportive resources. Patient decision aids outperformed educational materials in improving knowledge and decision outcomes with a significant reduction in decision conflict (standardized mean difference, 0.81; 95% confidence interval, -1.15 to -0.47; P < .001). Completion rates of LCS ranged from 3.6% to 98.8%. Interventions that included screening resources outperformed interventions that used patient decision aids alone in improving LCS completion. The proportions of reported RE-AIM indicators were highest for reach (69.59%), followed by adoption (43.87%), effectiveness (36.13%), implementation (33.33%), and maintenance (9.68%).

CONCLUSION

Evidence from 31 studies identified intervention characteristics and effectiveness of LCS interventions based on different stages of decision making.

IMPLICATIONS FOR PRACTICE

It is crucial to develop targeted and systematic interventions based on the characteristics of each stage of LCS to maximize intervention effectiveness and reduce the burden of lung cancer.

Ethnic differences in the characteristics of patients with newly diagnosed lung cancer in the Te Manawa Taki region of New Zealand

BACKGROUND

Māori have three times the mortality from lung cancer compared with non-Māori. The Te Manawa Taki region has a population of 900 000, of whom 30% are Māori. We have little understanding of the factors associated with developing and diagnosing lung cancer and ethnic differences in these characteristics.

AIMS

To explore the differences in the incidence and characteristics of patients with newly diagnosed lung cancer between Māori and non-Māori.

METHODS

Patients were identified from the regional register. Incidence rates were calculated based on population data from the 2013 and 2018 censuses. The patient and tumour characteristics of Māori and non-Māori were compared. The analysis used Χ2 tests and logistic models for categorical variables and Student t tests for continuous variables.

RESULTS

A total of 4933 patients were included, with 1575 Māori and 3358 non-Māori. The age-standardised incidence of Māori (236 per 100 000) was 3.3 times higher than that of non-Māori. Māori were 1.3 times more likely to have an advanced stage of disease and 1.97 times more likely to have small cell lung cancer. Māori were more likely to have comorbidities, chronic obstructive pulmonary disease, cardiovascular disease and diabetes. They also had higher levels of social deprivation and tended to be younger, female and current smokers.

CONCLUSIONS

The findings point to the need to address barriers to early diagnosis and the need for system change including the need to introduce a lung cancer screening focussing on Māori. There is also the need for preventive programmes to address comorbidities that impact lung cancer outcomes as well as a continued emphasis on creating a smoke-free New Zealand.

Pre- and post-intervention survey on lung cancer awareness among adults in selected communities in KwaZulu-Natal, South Africa: A quasi-experimental study

Background

Lung cancer remains the number one cause of cancer mortality estimated at 1.8 million deaths. There are limited studies in resource poor countries regarding knowledge, attitudes and practices towards lung cancer.

Objective

This study aimed to assess the effects of a lung cancer awareness intervention in selected communities in KwaZulu- Natal, South Africa.

Materials and Methods

A quasi-experimental study design was conducted in the selected communities in KwaZulu-Natal. A community intervention was administered in the communities after a baseline survey. The intervention effects were assessed a month after implementation.

Results

There were statistical differences in the mean age (p<0.001) and proportion of males and females (p<0.001) at baseline and post-intervention. There were no differences in terms of smoking status (p=0.958), however, there was a reduction in the number of cigarettes smoked per day (p<0.001) and the number of packs smoked per week (p=0.026). The mean knowledge score increased from 41.8% (95% CI 35.7 - 47.9) at baseline to 59.9 (95% CI 53.8 - 66.0) post-intervention (p<0.001). The proportion of participants who were aware that lung cancer can be detected early increased from 46.5% (95% CI 39.1 - 53.9) at baseline to 81.1% (95% CI 71.7 - 87.9) post-intervention (p<0.001). The intervention had a statistically significant effect (aOR 4.370, 95% CI 1.477-12.928) on the level of lung cancer knowledge in the selected communities (p<0.001).

Conclusions

Interventions increasing the recognition of signs and symptoms, focusing on the importance of early detection and health seeking behaviour (including screening), smoking cessation, and addressing the perceived health system barriers are required.

Underlying reasons for post-mortem diagnosed lung cancer cases - A robust retrospective comparative study from Hungary (HULC study)

Objective

The Hungarian Undiagnosed Lung Cancer (HULC) study aimed to explore the potential reasons for missed LC (lung cancer) diagnosis by comparing healthcare and socio-economic data among patients with post-mortem diagnosed LC with those who were diagnosed with LC during their lives.

Methods

This nationwide, retrospective study used the databases of the Hungarian Central Statistical Office (HCSO) and National Health Insurance Fund (NHIF) to identify patients who died between January 1, 2019 and December 31, 2019 and were diagnosed with lung cancer post-mortem (population A) or during their lifetime (population B). Patient characteristics, socio-economic factors, and healthcare resource utilization (HCRU) data were compared between the diagnosed and undiagnosed patient population.

Results

During the study period, 8,435 patients were identified from the HCSO database with LC as the cause of death, of whom 1,203 (14.24%) had no LC-related ICD (International Classification of Diseases) code records in the NHIF database during their lives (post-mortem diagnosed LC population). Post-mortem diagnosed LC patients were significantly older than patients diagnosed while still alive (mean age 71.20 vs. 68.69 years, p<0.001), with a more pronounced age difference among female patients (difference: 4.57 years, p<0.001), and had significantly fewer GP (General Practitioner) and specialist visits, X-ray and CT scans within 7 to 24 months and 6 months before death, although the differences in GP and specialist visits within 7-24 months did not seem clinically relevant. Patients diagnosed with LC while still alive were more likely to be married (47.62% vs. 33.49%), had higher educational attainment, and had more children, than patients diagnosed with LC post-mortem.

Conclusions

Post-mortem diagnosed lung cancer accounts for 14.24% of total lung cancer mortality in Hungary. This study provides valuable insights into patient characteristics, socio-economic factors, and HCRU data potentially associated with a high risk of lung cancer misdiagnosis.

Early-stage lung cancer associated with higher frequency of chest x-ray up to three years prior to diagnosis

OBJECTIVES

Symptom awareness campaigns have contributed to improved early detection of lung cancer. Previous research suggests that this may have been achieved partly by diagnosing lung cancer in those who were not experiencing symptoms of their cancer. This study aimed to explore the relationship between frequency of chest x-ray in the three years prior to diagnosis and stage at diagnosis.

SETTINGS

Lung cancer service in a UK teaching hospital.

PARTICIPANTS

Patients diagnosed with lung cancer between 2010 and 2013 were identified. The number of chest x-rays for each patient in the three years prior to diagnosis was recorded. Statistical analysis of chest x-ray frequency comparing patients with early- and late-stage disease was performed.

RESULTS

One-thousand seven-hundred fifty patients were included - 589 (33.7%) with stage I/II and 1,161 (66.3%) with stage III/IV disease. All patients had at least one chest x-ray in the six months prior to diagnosis. Those with early-stage disease had more chest x-rays in this period (1.32 vs 1.15 radiographs per patient, P = 0.009). In the period 36 months to six months prior to lung cancer diagnosis, this disparity was even greater (1.70 vs 0.92, radiographs per patient, P < 0.001).

CONCLUSIONS

Increased rates of chest x-ray are likely to contribute to earlier detection. Given the known symptom lead time many patients diagnosed through chest x-ray may not have been experiencing symptoms caused by their cancer. The number of chest x-rays performed could reflect patient and/or clinician behaviours in response to symptoms.

Strategies to improve smoking cessation rates in primary care

BACKGROUND

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials).

OBJECTIVES

To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

Evaluating the delay prior to primary care presentation in patients with lung cancer: a cohort study

Background

Little is known about 'within-patient delay', which is the time from first symptom of lung cancer to contacting primary care.

Aim

Primary outcomes were length of within-patient delay and the proportion of total delay it represents. Secondary outcomes were factors causing delay and survival.

Design & setting

A cohort study of newly diagnosed patients with lung cancer at two hospitals in Norfolk.

Method

Patients completed questionnaires regarding onset of symptoms, whether they had delayed, and their reasons. GPs completed correlating questionnaires. Pathway times and other data were extracted from cancer registry and hospital records, and outcomes obtained prospectively. Factors causing delay were compared using ratios of geometric means.

Results

In 379 patients, mean within-patient delay and pre-secondary care delay were 188.6 days and 241 days (61.4% and 78.5% of total delay, respectively). It was found that 38.8% of patients felt they had delayed. Patient-related causes of delay were denial (ratio of means [ROM] = 4.36; P = 0.002, 95% confidence interval [CI] = 1.71 to 11.1); anxiety (ROM = 3.36; P = 0.026; 95% CI = 1.16 to 9.76); non-recognition of symptoms (ROM = 2.80; P = 0.004; 95% CI = 1.41 to 5.59); and smoking (ROM = 1.76; P = 0.021; 95% CI = 1.09 to 2.86), respectively. These symptoms were associated with delay: finger swelling or discomfort (ROM = 2.72; P = 0.009, 95% CI = 1.29 to 5.74); cough (ROM = 2.53; P<0.001; 95% CI = 1.52 to 4.19); weight loss (ROM = 2.41; P<0.001; 95% CI = 1.49 to 3.88); weakness (ROM = 2.35; P = 0.001; 95% CI = 1.45 to 3.83); dyspnoea (ROM = 2.30; P = 0.001; 95% CI = 1.40 to 3.80); voice change (ROM = 1.90; P = 0.010; 95% CI = 1.17 to 3.10); and sputum (ROM = 1.66; P = 0.039; 95% CI = 1.03 to 2.67), respectively, also having more than five symptoms (compared with 1–3) (ROM = 3.69; P<0.001; 95% CI = 2.05 to 6.64). No overall relation between within-patient delay and survival was seen.

Conclusion

Using smoking registers, awareness literature, and self-care manuals, primary care staff could liaise with people who have ever smoked regarding their symptoms to ensure early referral to secondary care.

Promoting lung cancer awareness, help-seeking and early detection: a systematic review of interventions

Lung cancer (LC) is the leading cause of cancer death. Barriers to the early presentation for LC include lack of symptom awareness, symptom misappraisal, poor relationship with doctors and lack of access to healthcare services. Addressing such barriers can help detect LC early. This systematic review describes the effect of recent interventions to improve LC awareness, help-seeking and early detection. This review was guided by the Cochrane Handbook for Systematic Reviews of Interventions. Electronic databases MEDLINE, CINAHL, ERIC, APA PsycARTICLES, APA PsycInfo and Psychology and Behavioral Sciences Collection were searched. Sixteen studies were included. Knowledge of LC was successfully promoted in most studies using educational sessions and campaigns. LC screening uptake varied with most studies successfully reducing decision conflicts using decision aids. Large campaigns, including UK-based campaign 'Be Clear on Cancer', were instrumental in enhancing LC awareness, promoting help-seeking and yielding an increase in chest X-rays and a decrease in the number of individuals diagnosed with advanced LC. Multimodal public health interventions, such as educational campaigns are best suited to raise awareness, reduce barriers to help-seeking and help detect LC early. Future interventions ought to incorporate targeted information using educational resources, face-to-face counselling and video- and web-based decision aids.

The role of chronic conditions in influencing symptom attribution and anticipated help-seeking for potential lung cancer symptoms: a vignette-based study

BACKGROUND

Very little is known about the influence of chronic conditions on symptom attribution and help-seeking for potential cancer symptoms.

AIM

To determine if symptom attribution and anticipated help-seeking for potential lung cancer symptoms is influenced by pre-existing respiratory conditions (often referred to as comorbidity), such as asthma or chronic obstructive pulmonary disease (COPD).

DESIGN & SETTING

A total of 2143 adults (1081 with and 1062 without a respiratory condition) took part in an online vignette survey.

METHOD

The vignette described potential lung cancer symptoms (persistent cough and breathlessness) after which questions were asked on symptom attribution and anticipated help-seeking.

RESULTS

Attribution of symptoms to cancer was similar in participants with and without respiratory conditions (21.5% and 22.1%, respectively). Participants with respiratory conditions, compared with those without, were more likely to attribute the new or changing cough and breathlessness to asthma or COPD (adjusted odds ratio [OR] = 3.64, 95% confidence interval [CI] = 3.02 to 4.39). Overall, 56.5% of participants reported intention to seek help from a GP within 3 weeks if experiencing the potential lung cancer symptoms. Having a respiratory condition increased the odds of prompt help-seeking (OR = 1.25, 95% CI = 1.04 to 1.49). Regular healthcare appointments were associated with higher odds of anticipated help-seeking.

CONCLUSION

Only one in five participants identified persistent cough and breathlessness as potential cancer symptoms, and half said they would promptly seek help from a GP, indicating scope for promoting help-seeking for new or changing symptoms. Chronic respiratory conditions did not appear to interfere with anticipated help-seeking, which might be explained by regular appointments to manage chronic conditions.