Literature DB >> 35283637

Assessment of Predictor Factors Associated with Multiple Emergency Department Attendance with Asthma Attack: A Qualitative and Multicentric Prospective Observational Study.

Prabakar Vaittinada Ayar1,2, Camille Taillé2,3, Pradeebane Vaittinada Ayar4, Matthieu Gay1, Alhassane Diallo2,5, Aïchata Fofana Dara6, Olivier Peyrony2,7, Olivier Chassany2,6,8, Enrique Casalino2,9.   

Abstract

Purpose: Identified factors associated with multiple emergency department (ED) visits (≥) for asthma, which is associated with death. Patients and
Methods: We first conducted a qualitative study. We invited French-speaking adults (≥18 years old) with a diagnosis of asthma for more than 6 months. The identified concepts were transcribed into items. A Delphi method allowed for selecting items for a self-reported questionnaire. In an observational multicentric cross-sectional quantitative study, the resulting 20-item questionnaire and 12-item General Health Questionnaire, exploring psychological distress, were administered to adults visiting an ED for asthma exacerbation. Multivariable logistic regression was used to assess factors associated with ED visits.
Results: Data saturation was obtained after 8 patient interviews. Patients who came to the ED seemed unfamiliar with their illness or treatments but were concerned by the disease. The questionnaire was administered to 182 patients. On multivariable logistic regression, multiple and systematic ED visits were associated with asthma exacerbation (adjusted odds ratio (aOR) = 6.89, 95% confidence interval [CI]: 2.25-21.09), asthma perceived as a handicap (aOR=3.19, 95% CI: 1.55-6.57) and reported atopy (OR=2.09, 95% CI: 1.03-4.26). High educational level and lack of maintenance inhaled corticosteroids were protective for multiple ED visits.
Conclusion: Inadequate medical care is frequent in patients attending the ED for an asthma exacerbation, associated with strong psychological impact. Questioning the reasons for consulting the ED may help quickly identify patients requiring asthma education and improve their referral.
© 2022 Vaittinada Ayar et al.

Entities:  

Keywords:  asthma; emergency department; multiple attendance; psychological burden

Year:  2022        PMID: 35283637      PMCID: PMC8906850          DOI: 10.2147/JAA.S337072

Source DB:  PubMed          Journal:  J Asthma Allergy        ISSN: 1178-6965


Introduction

Asthma is a widespread chronic disease that affects 339 million people worldwide,1 3.5 million in France. Among Europeans between 15 and 64 years old, the total cost of asthma was 19.3 billion euros in 2011,2 mainly related to the severity and poor control of the disease.3–5 In France, the annual asthma mortality rate decreased from 2000 to 908 between 2000 and 20126,7 and simultaneously to the annual hospitalization rate for asthma decreased significantly. In contradiction, emergency department (ED) visits for asthma exacerbation remained stable, with 200,000 visits per year.8 Most of the time, ED visits reflect uncontrolled asthma and poor assessment and perception of symptoms severity,9 which leads patients to mismanage the asthma attack.10 In 2014, the National Review of Asthma Deaths in the United Kingdom identified many risk factors for asthma death:11 34% of patients had more than two ED visits during the year preceding the death. An ED visit for asthma should be considered a warning sign associated with poor asthma control. Thus, the ED may play a part in the primary care of asthma. Reasons for attending the ED for an asthma attack are multiple; some are related to the severity of the exacerbation, but some may also reflect poor asthma education, leading to delayed or unnecessary ED attendance.12 Indeed, the illness severity is sometimes misjudged by the physician,13,14 but poor education can concern several aspects, including self-recognition and self-management of asthma15,16 or the effect of perceived control of asthma on health outcomes.17 This study aimed to identify causes of multiple ED visits (≥2) for asthma to define customized interventions for managing asthma before and after ED visits. First, we used mixed-methods research: a qualitative study to define the main concepts, then a cross-sectional study to quantify the concepts. Then, we develop a predictive model for frequent ED users.

Materials and Methods

Qualitative Study

We conducted a qualitative study based on semi-structured interviews to data saturation between March and June 2017. The principal investigator (PV) included all consecutive French-speaking adult patients (≥ 18 years old) who were admitted because of asthma exacerbation to the ED at Bichat hospital. Patients with a diagnosis of asthma for more than 6 months and medication for at least 3 months were selected. Patients were contacted after discharge and asked to take part in a face-to-face interview with the principal investigator in the respiratory disease department. An interview guide, exploring the patient’s asthma perception; its diagnosis, treatment, current and expected care; and collaborative management () was developed based on a review of the literature and discussion among the authors. The interview guide was revised according to the findings of the first interviews. Each interview was audio-recorded. Patient characteristics were collected (demographics, asthma diagnosis and follow-up, smoking status, living environment, atopy, comorbidities, and medical fee exempt status). Interviews were fully and anonymously transcribed verbatim and analyzed by thematic analysis with NVivo 10 software after data saturation18 (see definition in ) section. This step was necessary to refine research concepts. Concepts were classified into categories, and fell into 34 items (see definition ). A Delphi method19 (5 emergency physicians, 1 methodologist, 1 pulmonologist) was used to select the most important items. This step was necessary to choose most important concept to build a short and accurate questionnaire suitable for ED activity.

Cross-Sectional Study

We performed an observational multicentric cross-sectional quantitative study between January 2018 and March 2019 in 3 EDs in the Paris area. Emergency physicians included French-speaking adults (above 18 years old) visiting an ED for an asthma exacerbation; eligible patients had a diagnosis of asthma for more than six months and took asthma medications for at least three months. After acceptation, patients were invited to fill out two questionnaires before leaving the ED: the questionnaire resulting from the qualitative analysis on asthma, and the 12-item General Health Questionnaire (GHQ-12). The GHQ-12 is generally considered a unidimensional scale of psychological distress,20–22 consisting of items capturing symptoms of anxiety, depression, social dysfunction, and loss of confidence. Answers are rated according a 4-point Likert scale, from 0, no distress, to 4, high distress. A total GHQ-12 score above 4 indicates psychological distress. An Ethics Committee (CPP Sud-Méditerranée I, Marseille, France) approved the study (no. IDRCB: 2016-A02028-43). Consent was obtained from all participants after information about the purpose of the study and anonymity of the responses in the publication. This study was conducted in accordance with the Declaration of Helsinki. The study was registered at ClinicalTrials.gov (NCT03099915).

Statistical Analysis

For the quantitative study, categorical data are described with ratios (in %) and continuous data with median and interquartile range (IQR). Characteristics of patients with multiple visits (≥2 ED visits during the 12 months before the day of visit) and patients who visited the ED no more than once during the last 12 months were compared by chi-square and Wilcoxon rank-sum tests as appropriate. Univariate logistic regression was used to quantify the magnitude of the association between factors and multiple visits, estimating odds ratios (ORs) and 95% confidence intervals (CIs). Variables with a p < 0.10 on univariate analysis were entered into the multivariable logistic regression model. We used a generalized linear model23 to obtain crude and adjusted ORs. The model selection was based on the Akaike Information Criterion24 to find the best compromise between the number of factors to keep and the accuracy of the logistic regression. To estimate the optimal discrimination cutoff, we used the receiver operating characteristic (ROC) curve with Youden’s index method.25 The Hosmer-Lemeshow test26 was used to assess the model’s calibration. Data analyses involved using R 4.0.3. Statistical significance was set at 95% and all tests were two-sided.

Results

Qualitative Analysis

Eleven patients were asked to participate, two patients refused, and one did not come to the appointment. Data saturation was obtained after interviewing 8 patients (6 women) because of very specific items. The median age of patients was 48 years (range 44–53). Five had a foreign home country, and 2 continued their study after high school. The median duration of the interview was 47 min (range 44–50). Asthma was initially diagnosed by the primary care physician (general practitioner or emergency physician) and confirmed a few years later by respiratory functional explorations. Asthma symptoms for all patients except one appeared after the age of 20. From the thematic analysis of verbatim, 3 main themes emerged: 1) Need for information on the disease, lack of knowledge and perception of asthma as disease (). In general, the quality of the level of information on the disease was poor. Despite the fear, patients did not seek to improve their knowledge about the disease. They all felt that their family doctor had a low level of involvement in asthma care. Patients were resigned, isolated, and felt physically and socially handicapped. They presented moral distress. 2) Identification of asthma symptoms and management of asthma exacerbation () Patients reported difficulties in identifying symptoms of asthma exacerbation. None of the patients had an asthma action plan. Therefore, lack of relief treatment and medical advice to evaluate the severity of the exacerbation was frequently associated with stress and anxiety. Patients spontaneously avoided situations identified as associated with asthma symptoms, such as physical activities, pollen season or pollution peak. 3) Asthma treatments () Patients had poor knowledge of treatments. Maintenance and relief treatments were not identified. Self-reported adherence to asthma treatment was poor. Most patients felt that they took too many or inappropriate medications. They were sometimes embarrassed to take medication in front of people. In summary, the qualitative analysis revealed that patients who came to the ED were unfamiliar with both the disease and associated treatments, related to insufficient medical follow-up. Asthma was experienced as a physical and/or social handicap, with a strong impact on quality of life. Difficulties in identifying symptoms of asthma exacerbation and their severity were linked to anxiety. After the Delphi process, 20 items were retained in the final questionnaire ().

Quantitative Analysis

A total of 182 patients were recruited for the study. Characteristics of patients are reported in Table 1. The median age was 43 (range 28–56); 69 (38%) were men, and the median duration of asthma was 19 years (range 10–26). Overall, 59% of participants had private insurance, and 51% were employed. For 54%, asthma was diagnosed after the age of 18.
Table 1

Socio-Demographic Characteristics of Participants with Asthma by Emergency Department (EDs) Attendance (N=182)

VariablesAvailable Data (N (%))OverallED Attendance in Last 12 Months ≤1 N=104 (57)ED Attendance in Last 12 Months ≥2 N=78 (43)P value
Sex (male)182 (100)69 (38)43 (41)26 (34)0.30
Age (years), median (range)182 (100)43 (28–56)43 (29–56)42 (26–56)0.74
Weight (kg)152 (83)70 (60–80)69 (57–81)70 (61–80)0.41
Asthma evolution (years), median (range)140 (77)19 (10–26)20 (10–26)18 (8–25)0.56
Medical insurance status181 (100)151 (83)88 (85)63 (81)0.40
Medical fee exemption status for long-term disease181 (100)37 (20)20 (19)17 (22)0.69
Medical fee exemption status for low income181 (100)37 (20)23 (22)14 (18)0.47
Private insurance181 (100)107 (59)64 (62)43 (55)0.34
Home country (France)182 (100)100 (55)54 (52)46 (59)0.34
Allergy181 (100)96 (53)48 (47)48 (62)0.046
Influenza vaccine182 (100)35 (19)17 (16)18 (23)0.25
Smoker182 (100)59 (32)32 (31)27 (35)0.58
Education
None179 (98)19 (11)9 (9)10 (13)0.40
Elementary school179 (98)22 (12)12 (12)10 (13)0.85
High school179 (98)72 (40)36 (36)36 (46)0.16
University179 (98)66 (37)44 (44)22 (28)0.035
Work status
Employed181 (100)93 (51)55 (53)38 (49)0.53
Unemployed181 (100)24 (13)13 (13)11 (14)0.77
Retired181 (100)20 (11)9 (9)11 (14)0.25
Disability181 (100)13 (7)8 (8)5 (6)0.73
Student181 (100)15 (8)9 (9)6 (8)0.80
Other181 (100)22 (12)11 (11)11 (14)0.49
Age at diagnosis (years)
>18174 (95)101 (58)56 (57)45 (59)0.78
> 30173 (95)86 (50)49 (50)37 (49)0.93

Notes: Data are presented as median (interquartile range) for continuous data or number (%) for categorical data. The P-value to the right represent the test for trend determined by either Wilcoxon rank-sum (continuous data) or chi-square [categorical data].

Socio-Demographic Characteristics of Participants with Asthma by Emergency Department (EDs) Attendance (N=182) Notes: Data are presented as median (interquartile range) for continuous data or number (%) for categorical data. The P-value to the right represent the test for trend determined by either Wilcoxon rank-sum (continuous data) or chi-square [categorical data]. During the previous year, 43% of patients had visited the ED at least twice for asthma. Frequent ED users and others patients did not differ in characteristics, except frequent ED users who were less likely to have a university degree (Table 1). In most cases (81%), patients were aware of a potentially fatal issue during an asthma attack and a large part of the population had a feeling of loneliness (37%) and powerless (44%) to cope with illness. The proportion of complaints of physical handicap was higher for frequent ED users (72% vs 47%, p = 0.0007). However, only 55% had a respiratory function evaluation, and 38% had a consultation with a pulmonologist for asthma diagnosis (Table 2).
Table 2

Questionnaire on Observance and Knowledge of Global Initiative for Asthma Criteria and General Health Questionnaire 12 (GHQ-12) by ED Attendance (N=182)

VariablesAvailable Data (N (%))OverallED Attendance in Last 12 Months ≤1 N=104 (57)ED Attendance in Last 12 Months ≥2 N=78 (43)P-value
Diagnosis physician
General practitioner180 (99)98 (54)59 (58)39 (50)0.30
Pneumologist180 (99)68 (38)36 (35)32 (41)0.43
Emergency physician180 (99)43 (24)20 (20)23 (29)0.12
Other179 (98)4 (2)2 (2)2 (3)1.00
Respiratory function evaluation181 (100)99 (55)53 (51)46 (59)0.31
Correct Immediate therapy182 (100)122 (67)69 (66)53 (68)0.82
Asthma action plan182 (100)36 (20)20 (19)16 (21)0.83
Short-acting beta2 agonist flushing times before attending ED
4164 (90)56 (34)33 (37)23 (31)0.45
8164 (90)58 (35)35 (39)23 (31)0.30
16164 (90)30 (18)10 (11)20 (27)0.009
24164 (90)13 (8)8 (9)5 (7)0.62
50164 (90)9 (5)4 (4)5 (7)0.73
Efficiency of medications174 (95)90 (52)54 (55)36 (47)0.31
Knowledge about treatments: name of acute attack medications (beta2 agonists)
Yes178 (98)85 (48)46 (46)39 (51)0.50
No178 (98)55 (31)30 (30)25 (32)0.69
No treatments178 (98)42 (24)27 (27)15 (19)0.26
Knowledge about treatments: name of long-term medications
Yes178 (98)63 (35)30 (30)33 (43)0.069
No178 (98)57 (32)26 (26)31 (40)0.040
No treatment178 (98)56 (31)43 (43)13 (17)0.0003
Treatment compliance176 (97)78 (44)39 (39)39 (51)0.10
If Not Why?
Forget127 (70)23 (18)7 (11)16 (24)0.062
Do not need127 (70)16 (13)10 (16)6 (9)0.22
Feeling worse after127 (70)5 (4)1 (2)4 (6)0.37
Do not understand the usefulness127 (70)8 (6)4 (7)4 (6)1.00
Too many medications127 (70)11 (9)5 (8)6 (9)0.86
Bothered to take corticosteroids127 (70)13 (10)5 (8)8 (12)0.47
Perception of asthma
Possibility of healing173 (95)86 (50)49 (50)37 (49)0.93
Risk of dying174 (95)141 (81)76 (78)65 (86)0.18
Loneliness feeling180 (99)66 (37)33 (32)33 (42)0.17
Powerless feeling179 (98)79 (44)40 (39)39 (51)0.13
As a handicap181 (100)104 (57)48 (47)56 (72)0.0007
Physical handicap173 (95)88 (51)40 (41)48 (63)0.004
Social handicap173 (95)30 (17)10 (10)20 (26)0.006
Family disability172 (95)23 (13)9 (9)14 (18)0.083
Professional disability174 (95)55 (32)25 (25)30 (40)0.038
Triggering factors
Stress, anxiety182 (100)73 (40)38 (37)35 (45)0.26
Pollen182 (100)91 (50)51 (49)40 (51)0.76
Dust182 (100)107 (59)60 (58)47 (60)0.73
Physical strain182 (100)101 (55)48 (46)53 (68)0.003
Pollution182 (100)114 (63)59 (57)55 (71)0.057
Contact with cat or dog182 (100)59 (32)36 (35)23 (29)0.46
Viral infection181 (100)62 (34)38 (37)24 (31)0.45
Other182 (100)26 (14)15 (14)11 (14)0.95
Causes of ED visits
Unusual asthma attack181 (100)141 (78)89 (86)52 (67)0.002
Unavailable general practitioner181 (100)21 (12)10 (10)11 (14)0.36
Always attend an ED during a crisis180 (99)28 (16)7 (7)21 (27)0.0002
Monitoring/education
Already had a dedicated asthma consultation180 (99)81 (45)40 (39)41 (53)0.054
Inhaler technique demonstration181 (100)143 (79)78 (76)65 (83)0.21
GHQ-12 (score)
Positive (≥4)176 (97)85 (48)44 (44)41 (53)0.25
Asymptomatic (0)176 (97)28 (16)18 (18)10 (13)0.35
Subclinically symptomatic [1–3]176 (97)65 (37)38 (38)27 (35)0.65
Symptomatic [4–6]176 (97)44 (25)24 (24)20 (26)0.79
Highly symptomatic [7–12]176 (97)39 (22)19 (19)20 (26)0.28

Notes: Data are presented as number (%) for categorical data. The P-value to the right represent the test for trend determined by chi-square [categorical data].

Questionnaire on Observance and Knowledge of Global Initiative for Asthma Criteria and General Health Questionnaire 12 (GHQ-12) by ED Attendance (N=182) Notes: Data are presented as number (%) for categorical data. The P-value to the right represent the test for trend determined by chi-square [categorical data]. Our study population believed for 67% of them to do the right therapeutic action in case of asthma attack. But only 8% had the knowledge of the right dosage of short-acting beta2 agonist before attending the ED. Moreover, only 20% had a written action plan (Table 2). In all, 24% of patients did not use beta2 agonists to relieve asthma symptoms. The proportion of patients without maintenance inhaled corticosteroids (ICS) was lower in frequent ED users group (17% vs 43%, p=0.0003). Self-reported adherence to treatments was low but similar between the 2 groups. When assessing reasons for attending an ED during an asthma attack, systematic visits to the ED during asthma symptoms was the most common answer among the frequent ED users (27% vs 7%, p<0.00002). However, 86% of patients with one visit reported an unusual asthma attack as a main reason. There were 28 patients who used ED as primary source of care, with a median age of 41 vs 44 years old for the rest of the study population (p=0.65). Among these 28 patients, they were 52% of men vs 36% of men for the rest of the study population (p=0.11). The main characteristic of patients who used ED as primary source of care was, they were frequent ED users in 75% of cases vs 37% for other patients (p=0.0002). However, only 14% suffered from an unusual asthma attack vs 89% for other patients (p<0.0001). There were 96 patients reporting allergic history, they were younger than non-allergic patients (34 vs 48 years old; p= 0.004). There was no difference in proportion treated by ICS between allergic and no allergic patients. Among allergic patients, there were more frequent ED users compared to non-allergic patients (50% vs 35%; p=0.046). A high proportion of allergic patients were diagnosed for asthma before three years old (23% vs 8%, p=0.005) in contrast to other patients who were diagnosed after age of 18 in most of the cases (70% vs 45%; p=0.004). ICS use as maintenance treatment was not a protective factor for multiple attendance to ED, and this was similar for allergic patients. The GHQ-12 score did not differ among the two groups: 47% of patients exhibited psychological suffering (score >3), and 22% of patients were highly symptomatic (score ≥ 7). Women had higher scores (> 3) than men (55% vs 38%; p=0.039). On multivariable logistic regression analysis (Table 3), frequent visits were associated with systematic consultation for loss of asthma control (adjusted OR, aOR = 6.89, 95% CI: 2.25–21.09), perceived handicap (aOR = 3.19, 95% CI: 1.55–6.57) and atopy (aOR = 2.09, 95% CI: 1.03–4.26). No maintenance ICS and high educational level prevented from multiple ED visits (OR = 0.28, 95% CI: 0.14–0.58 and OR = 0.49, 95% CI: 0.26–0.93). The model calibration provided by the Hosmer and Lemeshow test was not significant (p=0.99). For predicting multiple attendance, the performance criteria for our model were sensitivity 74%, specificity 71%, and area under the ROC curve 0.79 (95% CI: 0.72–0.86) (Figure 1).
Table 3

Multivariable Analysis of Risk Factors of Multiple Visits to the ED

Crude OR (95% CI)aOR (95% CI)P (Walds test)P (LR-test)
Allergy historya1.72 (0.94–3.17)2.09 (1.03–4.26)0.0410.039
Always come to EDb5.42 (2.05–14.31)6.89 (2.25–21.09)<0.001<0.001
Asthma = Handicapc3.37 (1.76–6.45)3.19 (1.55–6.57)0.0020.001
No daily treatmentd0.28 (0.14–0.58)0.21 (0.09–0.49)<0.001<0.001
University educatione0.49 (0.26–0.93)0.42 (0.2–0.87)0.020.018

Notes: Selected criteria after univariate analysis: aPatient declared allergy history. bPatient used ED as primary care. cPatient saw asthma as an handicap. dPatient did not have long term medication. ePatient had university education.

Abbreviations: OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; LR-Test, likelihood-ratio test.

Figure 1

Predictive performance of multivariate model for multiple visits to the ED and receiving operator characteristic curve of multivariate model to predict frequent ED users to an emergency department for asthma exacerbation. Area under the curve (AUC) 0.79, 95% confidence interval: 0.72 to 0.86.

Multivariable Analysis of Risk Factors of Multiple Visits to the ED Notes: Selected criteria after univariate analysis: aPatient declared allergy history. bPatient used ED as primary care. cPatient saw asthma as an handicap. dPatient did not have long term medication. ePatient had university education. Abbreviations: OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; LR-Test, likelihood-ratio test. Predictive performance of multivariate model for multiple visits to the ED and receiving operator characteristic curve of multivariate model to predict frequent ED users to an emergency department for asthma exacerbation. Area under the curve (AUC) 0.79, 95% confidence interval: 0.72 to 0.86.

Discussion

In this multicentric prospective cohort study of 182 patients visiting an ED for an asthma exacerbation, 43% had visited the ED ≥ 2 times during the previous year. Inadequate asthma care was frequent in this population visiting the ED (lack of relief or maintenance treatment, lack of an action plan, poor adherence to treatments and poor education), as previously described,10,27 but was not associated with risk of multiple visits. Risk of multiple ED visits was more likely among patients receiving maintenance ICS. Psychological distress and handicap were frequently reported among patients visiting the ED for an asthma attack, especially those with multiple visits. This study found psychological distress among asthma patients (GHQ-12 score > 3), most being symptomatic ([4-6]) or highly symptomatic ([7-12]). Asthma, even when non-severe, was considered a socio-professional handicapping disability, particularly for those with multiple ED visits. Asthma patients have more anxiety disorders (11% to 37%) and depressive disorders (11% to 18%) than the general population.28–33 Psychological problems in asthma patients are related to poor health outcomes, including increased asthma symptom severity, impaired asthma control, over-use of rescue medications and reduced quality of life.34,35 These problems must be addressed in asthma care, with psychological support and multidisciplinary team management. In our study, most of the patients who came to the ED had a poor follow-up of their disease. They did not have an asthma action plan, or had a poor knowledge about asthma relief treatments and complained of poor involvement of their doctors in asthma care. A recent French qualitative study underlined the weakness of French asthma patient management.36 Such a lack of care has been repeatedly described in both adults and children attending the ED for asthma. Adams et al reported the factors associated with asthma and repeated visits to EDs over a 12-month period.10,12,37 In addition to revealing factors related to severity, the authors found the absence of a written asthma action plan, the avoidance of coping strategies, and poor attitudes about self-management. In our study, 27% of patients with multiple visits reported systematic visits to the ED when asthma symptoms occurred, regardless of the exacerbation severity. Education and an action plan are clearly key points to improve asthma control and decrease unnecessary visits. Ensuring a regular follow-up appointment with the primary care physician can also decrease repeat ED visits. However, we found that patients attending the ED for asthma exacerbation are a heterogeneous population, with different needs. Most of those with maintenance ICS therapy visited multiple times, but whether some patients with severe asthma could be detected in this group is unknown. The identification of these different types of patients in the ED, along with the identification of flaws in their medical follow-up and educational needs, may allow for earlier referral to an adequate dedicated consultation.38–41 Regarding the patients with one or less visit at ED, ICS was not used in large proportion. It could be explained by a less severe asthma than frequent ED users or a mistake in diagnosis of asthma. Indeed, Aaron et al had shown after reassessment of asthma, the initial diagnosis was ruled out in 33.1% of asthmatic patients. These patients did not use daily asthma medications or had medications weaned.42 Whatever the cause, some reasons of ED attendance were already defined convenience, anxiety or as self-perceived urgency, need for hospital care, treatment, investigations or anxiety,43 Our discrimination model could be used to detect patients with risk of multiple visits to ED. The systematic visit gives us information about patient habits and how the patient copes with the situation. It could reflect at least a lack of knowledge or medical education about asthma, or lack of other medical resource. It could also mean that for some patient asthma was poorly controlled or in that the ED visit was inappropriate. The perception of asthma as handicap could reveal anxiety in asthma patient. These points were indicative of need for more attention about educational or therapeutic action for asthmatic patients. Our study had several limitations. We included patients from 3 university hospital EDs in a large urban area, with a high proportion of low-income and/or immigrant patients. The study was not designed for ethnic cultural barriers analysis. Therefore, our findings may not be generalizable to other populations. Moreover, in other healthcare systems, patients are not able to come directly to an ED as in France. The questionnaires were answered by patients without oversight, we had few missing data. There was no follow-up after the ED visit. We did not assess asthma at baseline because we focused on why the patient came to the ED and not the consistency between severity and consultation. The age of the diagnosis of our patients may question the correctness of the diagnosis; only 55% of our patients had a respiratory function evaluation, in only 38% of the cases was the pneumologist involved in the diagnosis, and 31% of our patients did not have daily treatment. These patients may have milder asthma than those with multiple visits, but the design of the study did not allow for assessing asthma control or severity. All data were declarative; for example, the number of ED visits was not confirmed in our medical record software.

Conclusion

Inadequate medical care is frequent in patients attending the ED for an asthma exacerbation, with only a few differences between patients with multiple visits and only one visit in the past year, associated with strong psychological impact. Questioning the reasons for consulting the ED may help quickly identify patients requiring asthma education and improve their referral. Our discrimination model showed good performance and may help to screen patients in the ED who require close follow-up.
  31 in total

1.  Impact of a history of maternal depression and anxiety on asthma control during pregnancy.

Authors:  Luke E Grzeskowiak; Brian Smith; Anil Roy; K Oliver Schubert; Bernhard T Baune; Gustaaf A Dekker; Vicki L Clifton
Journal:  J Asthma       Date:  2017-01-11       Impact factor: 2.515

2.  Prevalence of psychiatric morbidity in a difficult asthma population: relationship to asthma outcome.

Authors:  Liam G Heaney; Eunice Conway; Chris Kelly; Jacqui Gamble
Journal:  Respir Med       Date:  2005-03-23       Impact factor: 3.415

3.  Asthma severity and adequacy of management in accident and emergency departments in France: a prospective study.

Authors:  S Salmeron; R Liard; D Elkharrat; J Muir; F Neukirch; A Ellrodt
Journal:  Lancet       Date:  2001-08-25       Impact factor: 79.321

4.  The Living & Breathing Study: a study of patients' views of asthma and its treatment.

Authors:  John Haughney; Greta Barnes; Martyn Partridge; Jennifer Cleland
Journal:  Prim Care Respir J       Date:  2004-03

5.  Psychological factors and asthma quality of life: a population based study.

Authors:  R J Adams; D H Wilson; A W Taylor; A Daly; E Tursan d'Espaignet; E Dal Grande; R E Ruffin
Journal:  Thorax       Date:  2004-11       Impact factor: 9.139

6.  The relationship of asthma and anxiety disorders.

Authors:  Wayne J Katon; Laura Richardson; Paula Lozano; Elizabeth McCauley
Journal:  Psychosom Med       Date:  2004 May-Jun       Impact factor: 4.312

7.  Attitudes and actions of asthma patients on regular maintenance therapy: the INSPIRE study.

Authors:  Martyn R Partridge; Thys van der Molen; Sven-Erik Myrseth; William W Busse
Journal:  BMC Pulm Med       Date:  2006-06-13       Impact factor: 3.317

8.  Asthma patients' perception on their care pathway: a qualitative study.

Authors:  Anissa Hannane; Lilia Misane; Gilles Devouassoux; Cyrille Colin; Laurent Letrilliart
Journal:  NPJ Prim Care Respir Med       Date:  2019-04-02       Impact factor: 2.871

9.  Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

10.  The factor structure of the twelve item General Health Questionnaire (GHQ-12): the result of negative phrasing?

Authors:  Matthew Hankins
Journal:  Clin Pract Epidemiol Ment Health       Date:  2008-04-24
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