Literature DB >> 26873455

Knowledge and perceptions of asthma in Zambia: a cross-sectional survey.

Emilia Jumbe Marsden1, Somwe Wa Somwe2, Chishala Chabala2, Joan B Soriano3, Cesar Picado Vallès4, Julio Anchochea5.   

Abstract

BACKGROUND: Zambia is currently experiencing an epidemiological transition, from communicable to non-communicable diseases. The annual rate of physician-diagnosed asthma is estimated at 3 %. However, the general public's knowledge of asthma symptoms and signs, and their perception of asthma remain unknown. A survey was conducted aiming to determine knowledge and perceptions of asthma among Zambians.
METHODS: Adults and adolescents attending four clinics in the capital, Lusaka, were surveyed using a standardized questionnaire from July 2011 to March 2012.
RESULTS: Data from 1,540 participants (mean age 30.7 years, 65% female) were collected. Most patients (74%) were living in low-cost housing. One hundred and sixteen (7.6%) participants reported either a medical diagnosis of asthma or currently taking asthma medications. The most frequent asthma symptoms reported were wheezing (88%), and waking up at night with either shortness of breath (85%), chest tightness (85%), or cough (67%). Medications used to treat asthma were mostly oral short-acting beta-agonists (SABA) (59%), inhaled SABA (30.2%) and antibiotics (29.8%). Inhaled steroids were only used by 16.4% while less than 1% were on long-acting beta-agonists (LABA). Many misconceptions were identified among the entire surveyed population with only 54.7% believing hospitalisations are not preventable, 54.7% believing asthma symptoms can be prevented with the right medications and 37% believing inhalers are addictive. Nearly 60% thought that people with asthma cannot exercise or play hard. Significantly more individuals with asthma compared to those without thought tablets are better than inhalers for the treatment of asthma (46% vs 30%).
CONCLUSIONS: We conclude that knowledge on asthma is poor in Zambia, where there remains many misconceptions on asthma and its management.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26873455      PMCID: PMC4751639          DOI: 10.1186/s12890-016-0195-3

Source DB:  PubMed          Journal:  BMC Pulm Med        ISSN: 1471-2466            Impact factor:   3.317


Background

Asthma is a serious global health problem that affects people of all backgrounds and ages. The 2010 Global Burden of Disease study estimates the current asthma burden to be greater than 334 million which is consistent with previous reports [1, 2]. Asthma prevalence within a population generally varies between 1 %–18 % for children and adults, with great heterogeneity between countries [3]. Despite the paucity of data from Africa, evidence suggests that prevalence rates have been steadily increasing over the past two decades with current rates ranging from 6–20 % in Sub-Saharan Africa [4, 5]. Zambia, a landlocked country in southern Africa with a population of 13 million is currently experiencing an epidemiological transition, from communicable to non-communicable diseases (NCD) [6]. The World Health Organisation’s (WHO) World Health Survey estimated annual rates of physician-diagnosed asthma in Zambia to be 3 %, clinical asthma to be 3 % and wheezing symptoms to be 6 % [7]. These figures may underestimate the true prevalence of asthma. In our experience treating patients in Zambia for nearly two decades, we have found that asthma tends to either be underdiagnosed or mislabelled as ‘bronchitis’, especially in children. We believe these practices have contributed to a general lack of knowledge and misconceptions about asthma, as well as stigmatisation of individuals with asthma. In Zambia, the general population’s knowledge of asthma signs, symptoms and medication use has never been systematically investigated. Similarly, little is known about the public’s perception of asthma as a disease. In other populations, such studies have shown that parents of children with asthma and individuals suffering from asthma may have poor knowledge or misconceptions about asthma and its treatment. Common misconceptions in these studies included the idea that asthma is contagious, that it can be cured, that inhalers are either addictive or are not good treatment, that herbs play a role in asthma treatment and that asthma limits exercise [8-12]. Additionally, there were gaps in knowledge of important asthma symptoms such as shortness of breath, chest tightness and nocturnal cough [9, 12]. Poor understanding of the disease can result in under-utilisation of available health services and reduced adherence to medication [13, 14]. Ultimately this leads to poorly controlled asthma and negatively impacts quality of life. We hypothesised that understanding of asthma in Zambia is poor and we sought to evaluate the knowledge and perceptions of asthma and the medications used to treat the disease amongst patients attending primary health care clinics.

Methods

This was a cross-sectional survey conducted in Lusaka, Zambia, over a 9-month period, from July 2011 to March 2012. The research protocol was approved by the University of Zambia Biomedical Research Ethics Committee.

Survey instrument

The study questionnaire was based on the Chicago Community Asthma Survey (CCAS-32), a previously validated instrument specifically designed to assess the knowledge, attitudes and perceptions of asthma among the general public [15]. Briefly, the CCAS-32 questionnaire consists of 21 dichotomous items (“true/false” or “yes/no”) and 11 Likert-scale item (“1, never true; 2, rarely true; 3, sometimes true; 4, often true; and 5, always true”). The survey captures insight into nine content domains related to asthma and its management: (1) symptoms; (2) stigma/acceptability; (3) seriousness/severity; (4) perceptions of susceptibility; (5) consequences; (6) barriers to care; (7) perceptions of quality of life; (8) treatment/utilization of health care; and (9) triggers/environmental risk. Knowledge levels are largely captured through the dichotomous items, and attitudes and perceptions are mostly captured through the Likert-scale items. Study staff administered the questionnaire verbally in the participants’ choice of language (either English or Nyanja, a local dialect which is the most widely spoken local language in Lusaka). Demographic data were collected at the time of the survey and included age, gender, education, income, occupation, area of residence and type of housing (i.e., low, medium, or high-cost housing; this item is used as a proxy for socioeconomic status by the Zambia Central Statistical Office). Knowledge and attitudes of asthma relating specifically to medication use were also assessed.

Study sites and participants

The study took place at 4 urban, Government-managed health centres located across the city of Lusaka. Each clinic serves a catchment area ranging from 30,000 to 50,000 people. These are “first level” clinics typical of those where the majority of the urban population seeks medical care [16]. Individuals ten years of age and older who were normally cared for at the four study sites during the study period were consecutively invited to participate. Written informed consent was obtained from both the adult participants themselves and the guardians/parents of the children who participated. Exclusion criteria were refusal to give consent or inability to communicate verbally in English or Nyanja, the most widely spoken local language in Lusaka.

Data analysis

The sample size was estimated a priori. Given that the population of Lusaka residents attending the urban clinics was 810,000 [16], we assumed that the level of asthma knowledge was 50 %. Using a margin of error of 3 % and 95 % confidence level, the minimum sample size was calculated at 1,063 respondents. Data from the questionnaire was extracted and analysed using SPSS 17 for Windows. Each categorical item from the questionnaire was summarized by frequency count. Likert-scale items were converted to true/false items as per the following: False (1 - never true; 2 - rarely true; 3 - sometimes true) and True (4 - often true; and 5 - always true). Socio-economic status and educational background were analysed as outcome variables. All data were quality controlled centrally and a homogeneous template to translate all coding was applied. Variables were then double-checked by the principal investigator, and values that were considered as potential errors or outliers were individually discussed and confirmed, or removed. Comprehensive tabulations with ranges, mean and standard deviation of all quantitative variables, and percentages of all qualitative variables, were conducted. Prevalences were presented as percentages with a 95 % confidence interval. Differences within groups were compared using Chi-squared tests for categorical variables, and Student t test for continuous variables. A p-value lower than 0.05 was considered statistically significant.

Results

Data were collected from 1,540 participants, which represented 99 % of individuals who were invited to participate. The primary reasons for refusal to participate were mistrust of what would be done with the information gathered and concern for delay in receiving medical care. Demographic characteristics of study participants are shown in Table 1. Mean age was 30.7 years and 65 % were female. Nearly three-quarters of participants lived in low-cost housing and 8 % lived in high-cost housing. Twenty-three percent of participants reported an education level up to primary education, 55 % reported they had received secondary education, and 19 % reported higher than secondary education levels. One-hundred and sixteen (7.6 %) participants reported that they either had been diagnosed with asthma or were currently taking asthma medications. Compared with the participants without asthma, individuals with asthma (either diagnosed or self-reported) were older (mean age 37.4 years, p < 0.001). There were no statistical differences by gender, residential area, educational, employment or economic status.
Table 1

Demographic characteristics of all participants and those with asthma (either diagnosed or treated self-report)

All n (%)Diagnosed or treated asthma n (%)No asthma n (%) P value*
1,540 (100 %)116 (7.6 %)1,417 (82.4 %)
Male538 (35.1)39 (33.6)499 (35.2)0.762
Age in years, mean ± SD30.7 ± 12.337.4 ± 17.430.2 ± 11.6<0.001
Age interval
 10–19 years old228 (14.9)10 (18.6)218 (15.4)<0.001
 20–29 years old612 (39.9)38 (32.8)574 (40.5)
 30–39 years old413 (27.0)30 (25.9)383 (27.0)
 40–49 years old153 (10.0)12 (10.3)141 (10.0)
 50–59 years old74 (4.8)11 (9.5)63 (4.4)
 60–69 years old28 (1.8)6 (5.2)22 (1.6)
 70 years and older24 (1.6)9 (7.8)15 (1.1)
Residential area
 Low cost1132 (74.0)84 (72.4)1048 (74.2)0.917
 Medium cost274 (17.9)22 (19.0)252 (17.8)
 High cost123 (8.0)10 (8.6)113 (8.0)
Educational attainment
 No education26 (2.6)7 (6.1)19 (2.1)0.088
 Some primary104 (10.4)11 (9.6)93 (10.5)
 Completed primary128 (12.8)18 (15.7)110 (12.4)
 Some secondary334 (33.4)41 (35.7)293 (33.1)
 Completed secondary218 (21.8)18 (15.7)200 (22.6)
 More than secondary189 (18.9)20 (17.4)169 (19.1)
Employment/student status
 Formally employed218 (21.5)29 (25.0)189 (21.0)0.597
 Self employed262 (25.8)25 (21.6)237 (26.4)
 In school/College/University177 (17.4)19 (16.4)158 (17.6)
 A dependant358 (35.3)43 (37.1)315 (35.0)
Economic band (USD)
 Less than $100123 (26.1)16 (30.2)107 (25.6)0.910
 $100–$199135 (28.7)16 (30.2)119 (28.5)
 $200–$399103 (21.9)11 (20.8)92 (22.0)
 $400–$99990 (19.1)8 (15.1)82 (19.6)
 Greater than $1,00020 (4.2)2 (3.8)18 (4.3)

*All statistical comparisons were performed with Chi2 tests, except for age which was performed with student t test

Demographic characteristics of all participants and those with asthma (either diagnosed or treated self-report) *All statistical comparisons were performed with Chi2 tests, except for age which was performed with student t test Symptom frequency and treatment patterns among the 116 individuals with asthma are shown in Table 2. The most frequent asthma symptoms reported were wheezing (n = 102: 88 %) and waking up at night with either shortness of breath (n = 99: 85 %), chest tightness (n = 99: 85 %), or cough (n = 78: 67 %). There were no statistically significant differences by gender. In all, 82 % of male and 75 % of female individuals with asthma reported currently taking some form of asthma medication. Medications used to treat asthma in male and female individuals, respectively were oral short-acting beta-agonists (SABA): [71.1 % vs. 53.9 % p = 0.006], antihistamines (7.7 % vs. 20.8 % p = 0.11), oral steroids (7.7 % vs. 15.6 % p = 0.199), theophyllines (5.2 % vs. 22.4 % p = 0.06) and antibiotics (35.9 % vs. 33.8 % p = 0.528). Aside from inhaled SABA, other inhaled medications were used less often: SABA (41.0 % vs. 24.7 % p = 0.131), inhaled steroids (18.2 % vs. 10.4 %, p = 0.032), and long-acting beta-agonists (LABA) (2.6 % vs. 0 % p = 0.33). No participants reported use of inhaled LABA/steroid combination.
Table 2

Symptom frequency and treatment medication in asthmatics, by gender

All(n = 116)Male(n = 39)Female(n = 77) P value*
Current symptoms n (%) n (%) n (%)
 Have you had wheezing or whistling in your chest at any time in the last 12 months?102 (87.9)35 (89.7)67 (87.0)0.771
 Have you been at all breathless when the wheezing noise was present?96 (82.8)31 (88.6)65 (97.0)0.177
 Have you had this wheezing or whistling when you did not have a cold?44 (37.9)13 (38.2)31 (46.3)0.526
 Have you woken up with a feeling of tightness in your chest at any time in the last 12 months?99 (85.3)32 (82.1)67 (87.0)0.580
 Have you been woken by an attack of coughing at any time in the last 12 months?78 (67.2)24 (61.5)54 (70.1)0.405
 Have you been woken up by an attack of shortness of breath at any time in the last 12 months?99 (85.3)33 (84.6)66 (85.7)1.000
 Have you had an attack of asthma in the last 12 months?112 (96.6)38 (97.4)74 (96.1)1.000
 Are you currently taking any medicine for asthma?89 (76.7)32 (82.1)57 (75.0)0.483
Oral medication
 Steroids15 (12.9)3 (7.7)12 (15.6)0.199
 Theophylline19 (16.4)2 (5.2)17 (22.4)0.060
 SABA68 (58.6)27 (71.1)41 (53.9)0.006
 Anti-histamine19 (16.4)3 (7.7)16 (20.8)0.110
 Cough mixture9 (7.8)0 (0.0)9 (11.7)0.085
 Antibiotics40 (34.4)14 (35.9)26 (33.8)0.528
Inhaled medication
 Steroids19 (16.4)11 (18.2)8 (10.4)0.032
 SABA35 (30.2)16 (41.0)19 (24.7)0.131
 LABA1 (0.9)1 (2.6)0 (0.0)0.330

*All statistical comparisons were performed with Chi2 tests

Symptom frequency and treatment medication in asthmatics, by gender *All statistical comparisons were performed with Chi2 tests Attitudes and perceptions among study participants relating to asthma and its management are shown in Table 3. Significantly more individuals with asthma knew the signs of asthma compared to those without asthma, including knowledge that signs included shortness of breath (92.2 % vs 77.1 %), tightness in the chest (90.5 % vs 75.1 %) and wheezing after exercise (91.4 % vs 77.7 %). In addition, more individuals with asthma compared with those without knew that asthma cannot be cured (68.1 % vs 41.3 %). Just over seventy-six percent of the surveyed population understood that inhalers were good treatment for asthma. With regards to physical exercise, a substantial number of all the participants surveyed (57.6 %) thought that individuals with asthma cannot exercise or play hard, with no significant difference between those with and without asthma.
Table 3

Misconceptions on knowledge and perceptions about asthma in all participants and those with asthma (either diagnosed or treated self-report)

All n (%)Asthma n (%)No asthma n (%) P value*
Is shortness of breath a sign of asthma?803 (78.8)107 (92.2)696 (77.1 %)<0.001
Is tightness in the chest a sign of asthma?783 (76.8)105 (90.5)678 (75.1 %)<0.001
Are severe headaches a sign of asthma?339 (33.3)42 (36.2)297 (32.9 %)0.466
Is a cough at night a sign of asthma?522 (51.2)66 (56.9)456 (50.5)0.201
Is wheezing after exercise a sign of asthma?808 (79.3)106 (91.4)702 (77.7)<0.001
Asthma cannot be cured.452 (44.4)79 (68.1)373 (41.3)<0.001
An inhaler is a good treatment for Asthma.778 (76.4)84 (72.4)694 (76.9)0.296
People with asthma cannot exercise or play hard.586 (57.6)67 (57.8)519 (57.5)1.000
When a person with asthma is doing well they do not need to go to the doctor.286 (28.1)36 (31.0)250 (27.7)0.444
Asthma is a common reason for many school absences.598 (58.7)68 (58.6)530 (58.7)1.000
When asthma attacks stop, you don’t have asthma anymore.240 (23.6)16 (13.8)224 (24.9)0.007
You can’t have asthma as an adult without having it as a child.291 (28.6)17 (14.7)274 (30.3)<0.001
Hospitalizations for asthma are preventable.376 (36.9)45 (38.8)331 (36.7)0.085
Asthma symptoms can be prevented with the right medications.556 (54.7)63 (54.3)493 (54.7)0.141
Asthma is a serious health problem in Zambia.614 (60.4)83 (71.5)531 (58.9)0.080
Asthma care is expensive.354 (34.8)44 (37.9)310 (33.8)0.738
When a person has an asthma attack they should see a doctor immediately.873 (85.8)104 (89.7)769 (85.4)0.021
University Teaching Hospital is the best place to get treated for an asthma attack.401 (39.5)40 (34.5)361 (40.1)0.005
People can become addicted to inhalers for asthma treatment.386 (37.0)50 (43.1)336 (37.1)0.355
Tablets are better than inhalers for asthma treatment.323 (31.8)53 (45.7)270 (30.0)0.003
African doctors can cure asthma.17 (1.7)1 (0.9)16 (1.7)0.673

*All statistical comparisons were performed with Chi2 tests

Misconceptions on knowledge and perceptions about asthma in all participants and those with asthma (either diagnosed or treated self-report) *All statistical comparisons were performed with Chi2 tests Concerning asthma perceptions, only 36.9 % of the entire study population reported that hospitalisations for asthma were preventable and 54.7 % believed asthma symptoms could be prevented with medications. With regards to perceptions towards inhaled medication, 37 % of the study participants believed the latter were addictive, with no difference between those with and without asthma. A significant number of individuals with asthma compared with those without (45.7 vs 30.0 %) thought oral tablets were better than inhalers for asthma treatment. Overall, 60.4 % of participants agreed that asthma is a serious health problem in Zambia. Misconceptions on asthma knowledge and perceptions about the disease in those individuals with asthma (self-reported) were common (Table 4).
Table 4

Misconceptions on knowledge and perceptions about asthma in those with asthma (diagnosed or treated self-report), by socioeconomic status

Low(n = 84)Medium(n = 22)High(n = 10) P value*
Asthma cannot be cured52 (61.9)19 (86.4)8 (80.0)0.063
When asthma attacks stop, you don’t have asthma anymore.14 (16.7)1 (4.5)1 (10.0)0.319
You can’t have asthma as an adult without having it as a child.16 (19.0)1 (4.5)0 (0.0)0.090
Is shortness of breath a sign of asthma?81 (96.4)18 (81.8)8 (80.0)0.024
Is tightness in the chest a sign of asthma?79 (94.0)19 (86.4)7 (70.0)0.038
Is wheezing after exercise a sign of asthma?77 (91.7)20 (90.9)9 (90.0)0.981
When a person has an asthma attack they should see a doctor immediately.74 (88.1)22 (100.0)8 (80.0)0.448
University Teaching Hospital is the best place to get treated for an asthma attack.31 (36.9)7 (31.8)2 (20.0)0.545
Tablets are better than inhalers for asthma treatment.42 (50.0)6 (36.4)3 (30.0)0.302

*All statistical comparisons were performed with Chi2 tests

Misconceptions on knowledge and perceptions about asthma in those with asthma (diagnosed or treated self-report), by socioeconomic status *All statistical comparisons were performed with Chi2 tests Rates of health professional-diagnosed and self-reported asthma are shown in Fig. 1. The observed frequency of 7.6 % (95 % C.I. 6.2–9.0) was homogeneous from adolescence up to age 50 years, with no differences by gender. In older participants, the observed frequency of asthma increased substantially to 20.6 %, more so in women than in men (27.4 % vs 14 %).
Fig. 1

Prevalence rates of asthma (diagnosed or treated self-report) by gender and age band

Prevalence rates of asthma (diagnosed or treated self-report) by gender and age band

Discussion

This study describes, for the first time knowledge and perceptions of asthma in Zambia. We found that knowledge about asthma is generally poor and we identified misconceptions about inhaled medications that are comparable with findings from other developing countries [8, 10, 11]. Individuals with asthma were significantly more knowledgeable on asthma signs than those without, which is not surprising and is consistent with other studies [17, 18]. However, even individuals with asthma demonstrated numerous knowledge gaps and misconceptions relating to disease characteristics, asthma management and quality of life. Such attitudes can have a negative impact on patient care and quality of life [19, 20]. Misconceptions were identified regarding inhaled medications. While the majority of individuals with asthma thought inhalers are a good treatment for asthma, many asthmatics reported that inhalers are addictive and inferior in efficacy to tablets. Our finding that inhaled medications were perceived to be addictive has also been reported by others with rates ranging from 37–48 % [11, 13, 21]. This misconception could have a negative impact on adherence to medication and asthma control. It has also been implicated in the preference of treatment towards oral rather than inhaler medications [11, 22]. Indeed, our study found that most individuals with asthma were currently taking oral SABA medications, closely followed by inhaled SABA. Only a small proportion of patients were on inhaled steroids. Although antibiotics do not form part of the routine management of asthma, they were the second most administered oral medication, reflecting either a culture of over prescription by physicians or the unregulated access to ‘over the counter’ antibiotics in commercial pharmacies. It is not uncommon for antibiotics to be perceived as an important aspect of asthma treatment in developing countries [23]. International asthma guidelines state that effective management of asthma requires a self-management approach encompassing a strong partnership between the patients and the health care workers [24]. In this model, patients should be empowered to gain the knowledge, confidence, and skills to assume a major role in the management of their asthma. A self-management approach has been shown to reduce asthma morbidity. Conversely, poor self-control is likely to result if the patient has misconceptions about their asthma and inhaled medication [25]. Similarly, these guidelines also advocate the use of regular prophylactic inhaled medication to prevent symptoms of chronic asthma, and regular bronchodilator therapy as required for symptomatic relief [26]. Inhaled corticosteroids have also been shown to be effective in developing countries, reducing hospital admissions and emergency room visits by up to 80 % [27, 28]. A study in Zambia many years ago showed a reduction in asthma admissions when inhaled therapy was used [29]. Despite this evidence, up until 2013 the Zambian Standard Treatment Guidelines (STG), a set of nationally endorsed treatment guidelines covering various medical conditions used by health workers in the public health sector, emphasized the use of oral therapy as first line for mild cases of asthma with inhaled therapy reserved for acute severe exacerbations [30]. These guidelines were silent on the use of prophylactic inhaled steroids for prevention of chronic asthma symptoms. The lack of inhaled medications in the Zambian STGs may have resulted in inconsistent availability of metered dose inhalers (MDIs) in the public health sector, and could have been a contributing factor to patients’ inclination toward oral medications for asthma management. Another reason could be failure by clinicians to prescribe MDIs due to concerns about their intermittent availability and prohibitive cost to patients [31]. Conversely, clinicians in the developing world may lack the knowledge on what medications to use for asthma treatment, commonly prescribing oral SABA and oral steroid for long-term management [32, 33]. Ultimately, even when physicians do prescribe inhaled medications, some patients may just prefer the oral route due to various negative preconceived ideas about MDIs [34]. Finally, our finding of a much higher frequency of asthma in adults older than 50 years is based on a small sample size and should be interpreted with caution. It may also be attributed to the mis-diagnosing of other conditions that present with similar symptoms to asthma such as chronic obstructive pulmonary disease (COPD) and bronchiectasis [35, 36]. Interestingly, a similar increase in asthma symptoms among the female population has recently been reported in Burkina Faso [37].

Limitations of the current study

The asthma prevalence estimate of 7.6 % found in this study is lower than the observed prevalence rates of between 10–20 % found in other urban centres within Sub-Saharan Africa and could be an underestimate since it is based on self-reporting [5]. Misclassification of disease is a concern in Zambia where health workers often mislabel asthma as ‘bronchitis’ and could also result in under estimation of the asthma prevalence. The collection of information in English and Nyanja could have affected study results since it is challenging to accurately translate some technical terms related to asthma. It is our impression that some patients do not learn the names of the medications they are taking and this could have possibly affected their reporting of the medications they use.

Implications and next steps

There remain major challenges in fully understanding the epidemiology of chronic airway diseases in Zambia and other African countries. Trends towards urbanisation and westernisation of African countries seem to be important contributors to the development of asthma [38]. The findings of this study including the observation that misconceptions about asthma are prevalent, could provide an evidence backed basis for the development of programmes designed to change asthma perceptions among both health workers and the community at large. In Zambia, the national treatment guidelines for asthma have recently been updated (in 2013) and now recommend inhaled medications as the primary treatment option for individuals with asthma, but this is not yet widely practiced. Alongside this major improvement, however, oral SABAs are still recommended as an alternative treatment option. The STG update will ensure the provision of free and consistent supply of MDIs to health institutions, avoiding cost implications on the patient. The government and other stakeholders have important roles to play in assuring that appropriate education of health workers takes place so that they adhere to the new guidelines and prescribe the drugs rationally in primary health care facilities [39]. Ultimately these measures would have a positive impact on inhaler perception, use, compliance and asthma control.

Conclusions

Knowledge about asthma is poor among Zambians and misconceptions are prevalent. Strategies are needed to increase education and awareness about the disease in order to improve disease management, reduce stigmatisation and work towards decreasing the societal burden of disease in Zambia.
  29 in total

1.  First treatment with inhaled corticosteroids and the prevention of admissions to hospital for asthma.

Authors:  L Blais; S Suissa; J F Boivin; P Ernst
Journal:  Thorax       Date:  1998-12       Impact factor: 9.139

2.  Impact of positive and negative beliefs about inhaled corticosteroids on adherence in inner-city asthmatic patients.

Authors:  Diego Ponieman; Juan P Wisnivesky; Howard Leventhal; Tamara J Musumeci-Szabó; Ethan A Halm
Journal:  Ann Allergy Asthma Immunol       Date:  2009-07       Impact factor: 6.347

3.  Asthma knowledge, attitudes, and quality of life in adolescents.

Authors:  P G Gibson; R L Henry; G V Vimpani; J Halliday
Journal:  Arch Dis Child       Date:  1995-10       Impact factor: 3.791

4.  A hospital out-patient study of bronchial asthma in Zambia.

Authors:  S C Allen; J Powar
Journal:  Med J Zambia       Date:  1983-10

5.  Improving drug use through continuing education: a randomized controlled trial in Zambia.

Authors:  A Bexell; E Lwando; B von Hofsten; S Tembo; B Eriksson; V K Diwan
Journal:  J Clin Epidemiol       Date:  1996-03       Impact factor: 6.437

6.  Parental attitudes towards the management of asthma in ethnic minorities.

Authors:  Nigel C Smeeton; Roberto J Rona; Jane Gregory; Patrick White; Myfanwy Morgan
Journal:  Arch Dis Child       Date:  2007-02-06       Impact factor: 3.791

7.  The asthma knowledge and perceptions of older Australian adults: implications for social marketing campaigns.

Authors:  Uwana Evers; Sandra C Jones; Peter Caputi; Don Iverson
Journal:  Patient Educ Couns       Date:  2013-02-01

8.  Asthma knowledge and medication compliance among parents of asthmatic children in Nanjing, China.

Authors:  X Zhao; S Furber; A Bauman
Journal:  J Asthma       Date:  2002-12       Impact factor: 2.515

9.  An estimate of asthma prevalence in Africa: a systematic analysis.

Authors:  Davies Adeloye; Kit Yee Chan; Igor Rudan; Harry Campbell
Journal:  Croat Med J       Date:  2013-12       Impact factor: 1.351

10.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Theo Vos; Abraham D Flaxman; Mohsen Naghavi; Rafael Lozano; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Richard Gosselin; Rebecca Grainger; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jixiang Ma; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

View more
  3 in total

1.  Erratum to: Knowledge and perceptions of asthma in Zambia: a cross-sectional survey.

Authors:  Emilia Jumbe Marsden; Somwe Wa Somwe; Chishala Chabala; Joan B Soriano; Cesar Picado Vallès; Julio Ancochea
Journal:  BMC Pulm Med       Date:  2016-03-24       Impact factor: 3.317

2.  A community-based cross-sectional study on knowledge, attitude, and perceptions about asthma among healthy adults in rural South India.

Authors:  Jefferson Daniel; Leeberk Raja Inbaraj; Sam Jenkins; Prashant Hanumanthappa Ramamurthy; Rita Isaac
Journal:  J Family Med Prim Care       Date:  2021-05-31

3.  Algorithm for asthma diagnosis and management at Chitungwiza Central Hospital, Zimbabwe.

Authors:  Pisirai Ndarukwa; Moses John Chimbari; Elopy Nimele Sibanda
Journal:  Pan Afr Med J       Date:  2020-09-24
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.