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Potentially avoidable hospitalization for asthma in children and adolescents by migrant status: results from the Italian Network for Longitudinal Metropolitan Studies

BMC Public Health volume 20, Article number: 1858 (2020) Cite this article

Abstract

Background

Global migration toward Europe is increasing. Providing health assistance to migrants is challenging because numerous barriers limit their accessibility to health services. Migrants may be at a greater risk of developing asthma and receiving lower quality healthcare assistance than non-migrants. We aim to investigate whether immigrants as children and adolescents have higher rates of potentially avoidable hospitalization (PAH) for asthma compared to Italians.

Methods

We performed a retrospective longitudinal study using six cohorts of 2–17-year-old residents in North and Central Italy from 01/01/2001 to 31/12/2014 (N = 1,256,826). We linked asthma hospital discharges to individuals using anonymized keys. We estimated cohort-specific age and calendar-year-adjusted asthma PAH rate ratios (HRRs) and 95% confidence intervals (95%CIs) among immigrants compared to Italians. We applied a two-stage random effect model to estimate asthma PAH meta-analytic rate ratios (MHRRs). We analyzed data by gender and geographical area of origin countries.

Results

Three thousand three hundred four and 471 discharges for asthma PAH occurred among Italians and immigrants, respectively. Compared to Italians, the asthma PAH cohort-specific rate was higher for immigrant males in Bologna (HRR:2.42; 95%CI:1.53–3.81) and Roma (1.22; 1.02–1.45), and for females in Torino (1.56; 1.10–2.20) and Roma (1.82; 1.50–2.20). Asthma PAH MHRRs were higher only among immigrant females (MHRRs:1.48; 95%CI:1.18–1.87). MHRRs by area of origin were 63 to 113% higher among immigrants, except for Central-Eastern Europeans (0.80; 0.65–0.98).

Conclusion

The asthma PAH meta-analytic rate was higher among female children and adolescent immigrants compared to Italians, with heterogeneity among cohorts showing higher cohort-specific PAH also among males, with some differences by origin country. Access to primary care for children and adolescent immigrants should be improved and immigrants should be considered at risk of severe asthma outcomes and consequently targeted by clinicians.

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Background

International migration is increasing and health assistance to migrants is challenging because of barriers which often limit accessibility to healthcare services, even when health systems include assistance to migrants [1]. In Italy, the number of immigrants in 2018 was 8.5% of the resident population [2]. The main reasons for migration to Italy among non-EU citizens were job opportunities and family reunification (88% in 2001, 74% in 2013, and 64% in 2014, when residence permits for international protection increased in number following the 2011 Arab Spring and the humanitarian emergency of 2014–2015 [3]). Most immigrants came from low-income countries attracted by the high demand for unskilled jobs, especially in the sectors of construction and domestic services [4].

While the prevalence and risk of some non-communicable diseases in migrant groups living in Europe have been estimated, especially for cardio-vascular diseases, diabetes, and cancer, less and fragmentary evidence is available for other non-communicable diseases, such as asthma [5]. The burden of asthma is relevant because it also affects children and adolescents, and the prevalence of the disease is increasing in many high-income countries. It has been estimated that around 358 million individuals in the world were affected by asthma in 2015 [6]. In Italy, the prevalence of lifetime asthma was estimated to be 9.3% in children and 10.3% in adolescents [7]. However, these measures for Italy might be an underestimation, as there is likely to be a pool of asthma patients yet unrecognized by healthcare [8].

The complex relationship between individual and environmental factors on asthma occurrence in children, including maternal exposure to negative factors during pregnancy, was highlighted in several observational studies in Europe [9,10,11]. Migration likely plays an additional role in the pathogenesis of asthma in children, but the mechanisms are still not clear. Immigrants may be at a higher risk of developing asthma due to the exposure to new pollutants in the host countries, changes of lifestyles, and deprived housing. A study conducted in Italy in 2007 found that the prevalence of symptoms in childhood and adolescent asthma among immigrants was actually lower than among native children when the permanence in the country was less than 5 years; although for longer time periods, the prevalence increased up to the level found among native children, suggesting exposure to environmental risks might be a factor [12].

Asthma is one of the conditions for which hospitalization can be considered avoidable, through timely and effective preventive care and early disease management, referred to as ambulatory care sensitive conditions (ACSCs) [13, 14]. Disease prevention and monitoring of chronic conditions are key points at the primary care level, and potentially avoidable hospitalization (PAH) is frequently used as a quality indicator of primary care delivery [15]. Hospital admissions for patients with chronic disease, such as asthma, are reported within health system performance frameworks of European countries for healthcare quality assessment [16, 17].

To the best of our knowledge, there are no studies on PAH for chronic conditions disparities by migrant status [18] in Italy, except for a recent study focusing on PAH for diabetes mellitus [19]. That study reported that immigrants are at a higher risk of experiencing PAH than Italians, suggesting that they may have less access to and lower quality of primary care.

Given the barriers encountered by immigrants to the provision of healthcare, including primary care [20], our hypothesis is that the diagnosis of asthma and adherence to therapy during childhood and adolescent age may be reduced. This would be a potential cause for immigrants being at higher risk of disease complications, as well as for increased asthma severity compared to Italians; this phenomenon may be mirrored in the excess PAH for asthma among immigrants. We have focused on children and adolescents because in this segment of the population asthma is the most common chronic disease [21]. To verify our hypothesis, we compared PAH for asthma among children and adolescents by migrant status during the period 2001–2014, using population-based cohort data from six cities in North and Central Italy included in the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS) [22,23,24]. Our objective is to examine whether immigrant children and adolescents living in Italy have higher rates of PAH for asthma compared to Italians.

Methods

Study design and setting

This is a retrospective longitudinal study based on dynamic cohorts of residents in six cities participating in the IN-LiMeS [22,23,24]: Torino, Venezia, Reggio Emilia, Modena, Bologna, and Roma. Each cohort represents one city. Data from the participating cohorts can be analyzed together to create a pattern of outcomes in relation to sociodemographic characteristics in Italy. For this analysis, participants were recruited and followed-up between 01/01/2001 (21/10/2001 for Torino) and 31/12/2013 (31/12/2014 for Venezia).

Participants

The participants in the study were all 2–17-year-old individuals registered as residents in the Population Registries of at least one of the six cities included in the study during the follow-up period (N = 1,256,826). The age selection followed the criteria of the Agency for Healthcare Research and Quality (AHRQ), and the case definition for pediatric asthma [25, 26]. Non-resident immigrants were not included, while refugees and asylum seekers were included after having obtained a permit for residence. In 2015, about 86% of immigrants in Italy were registered as resident [27]. To calculate person-time-at-risk, we built datasets containing all time periods of residence for everyone who resided in one of the aforementioned cities for at least 1 day during the study period (residential segments). Net person-years (PYs) at risk were calculated excluding time periods that occurred between emigration and re-immigration in each city. The entry date for the cohort was the registration date in the Population Register from birth or immigration after 01/01/2001 (21/10/2001 for Torino), while the exit date was for the 18th birthday, emigration, death or end of the study (31/12/2013 or 31/12/2014 for Venezia) whichever was the less recent. Record-linkage procedures between demographic and hospital data were performed deterministically using anonymous keys to guarantee the privacy of individuals. Detailed description of the method can be found elsewhere [22,23,24]. Figure 1 displays the total number of residential segments; the number of segments with valid anonymous keys for record-linkage to hospital data; the number of eligible residential segments and subjects, and the final study population with valid information on entry and exit dates and exposure for each cohort.

Fig. 1
figure 1

Selection of the study population by cohort. Years 2001–2014. 1 Entry in the cohort: 21/10/2001. 2 End of follow-up: 31/12/ 2014

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Variables, data sources and measurement

Outcome

The outcome variable was the number of all possible PAHs (inpatient hospital discharges) for asthma that occurred during the follow-up time period, within or outside the region where each city is located (the regions are large territorial units, with 4,4 to 5,9 million inhabitants). The hospital discharge records include up to six diagnostic codes, reported according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). To define PAH for asthma, we used the AHRQ definition of Pediatric Quality Indicators (PDIs), which focus on preventable hospitalizations among pediatric patients. PDIs are measures of potentially preventable hospitalizations for ACSCs, also called potentially avoidable hospitalizations [18], that is, “inpatient stays for treating ambulatory care sensitive conditions (ACSCs) that evidence suggests may be avoidable, in part, through timely and quality primary and preventive care” [28]. Among the indicators, we chose the indicator number 14 “Asthma Admission Rate”. For the selection of cases, we used the AHRQ Technical Specifications [26]. Thus, we selected cases with the ICD-9-CM code 493 in the principal diagnosis. Exclusions in secondary diagnoses for cystic fibrosis and anomalies of the respiratory system were also applied (ICD-9-CM codes 277.0, 516.6, 747.2, 748.3–9, 750.3, 759.3, 770.7). In addition, we applied the other AHRQ criteria which exclude the following cases: transfer from a hospital (different facility), a Skilled Nursing Facility or Intermediate Care Facility, or from another health care facility; cases of pregnancy, childbirth, and puerperium (Major Diagnostic Criteria 14). The source of data is the Hospital Discharge Record which is collected through the Hospital Information System of the region where each city is located.

Exposure and other risk factors

The exposure variable was the migrant status as measured by the citizenship of High Migratory Pressure Countries and related geographical areas of origin (HMPCs, immigrants: Central-Eastern Europe, North Africa, Sub-Saharan Africa, Asia -except for Israel and Japan-, and Central and South America) or High Developed Countries (HDCs: foreign countries except those included in the HMPCs) as contrasted with Italians. We used the birthplace as a proxy of the migrant status for the population of Roma until 2007 because the information on citizenship was not available. We considered age (in years) and calendar year as confounding variables, while gender and cohort as strata variables. The source of data was the Population Register of each city participating in the study, integrated with the dataset of Hospital Discharge Records. We excluded records with missing data on migrant status, age, calendar year, and gender (overall, less than 1.4%).

Statistical analysis

We focused the statistical analysis only on the comparison between Italians and immigrants coming from HMPCs because the latter represent the majority of vulnerable immigrants in relation to health assistance and because the percentage of immigrants from HDCs was very low (it ranged between 0.13% in Reggio Emilia and 0.90% in Roma). We calculated crude (CHRs) and direct age-standardized hospitalization rates (SHRs) using the 2011 Italian census population. CHRs and SHRs were calculated from the total population for each cohort as well as for the total study period (2001–2014). Then, we estimated age and calendar-year-adjusted hospitalization rate ratios (HRRs), and the related 95% confidence intervals (95%CIs) for immigrants from HMPCs compared to Italians, using the negative binomial regression, which allowed us to model the number of occurrences of an event when it has overdispersion, with PYs as the exposure. We stratified the analysis by gender because males were found to have higher asthma prevalence than females during childhood, but lower prevalence and better outcomes at later ages [29]. In addition, we stratified the analysis by cohort to acknowledge any unmeasured contextual factors of the cohort that could have influenced the associations. To provide a global measure of effect we performed a random effect Individual Participant Data (IPD) meta-analysis [30]. Thus, we estimated meta-analytic hospitalization rate ratios (MHRRs) and related 95%CIs. We performed the Cochran heterogeneity test to assess whether the differences observed in the effect measures of each cohort were due to chance and, to quantify such heterogeneity, we calculated the I2 statistic, which describes the percentage of variability across studies [31]. We also estimated MHRRs by geographical area of origin; but in this case we could not stratify by gender because in some combinations of cases by gender and area of origin there were no observations. We considered two-sided p-values less than 0.05 as statistically significant. We managed the data using the software SAS Enterprise guide 7.1 and analyzed the data using the Stata software, version 13, commands nbreg, and metan (with options randomi).

Linkage

The study included person-level-data-linkage across Population Register and Hospital Discharge Records.

The data were linked using anonymized keys and then analyzed in aggregate form. We assessed the linkage quality by calculating the record linkage percentage that was greater than 99.1% (Fig. 1).

Results

Participants and descriptive data

Figure 1 displays the selection of the population included in the study. We selected 1,256,826 2–17-year-old subjects during the follow-up time period (18.6% in Torino, 5.4% in Venezia, 4.1% in Reggio Emilia, 4.1% in Modena, 7.0%, Bologna, and 60.9% in Roma) (Table A1, additional material) who contributed with 8,070,415 PYs. The percentage of individuals coming from HMPCs was 13.7%, with percentages ranging between 11.0% in Roma and 22.2% in Reggio Emilia, while those coming from HDCs were only 0.7%. Among the immigrants, the highest percentage of individuals was observed among Central-Eastern Europeans (41.3%) and the lowest among Sub-Saharan Africans (7.3%). Among the participants, there was the same proportion of males and females. The mean age calculated over the whole study period was 9.3 years. The number of subjects enrolled was 608,240 in 2002 and 673,964 in 2013 (2002 and 2013 were the first and last calendar years with complete follow-up for all the cohorts).

Description of hospital data

During the study period, 3787 hospital discharges for asthma were registered among 2–17-year-old participants, 3304 among Italians (87%) and 471 (12%) among immigrants from HMPCs. Among immigrants, the highest percentage of discharges for asthma was observed for subjects from Asia (38%) and the lowest for those from Sub-Saharan Africa (11%). Males showed higher percentages of hospitalization than females (60% among Italian males and 55% among immigrant males). The mean age at admission was 8.2 years (8.3 among Italians and 5.0 among immigrants). The number of hospitalizations ranged from 426 in 2002 to 182 in 2013, with a clear decrease among Italians and a steady pattern among immigrants.

Asthma PAH rates

Age-standardized rates (per 1000 PYs) ranged from 0.18 (95% CIs:0.13–0.24) in Modena to 0.54 (0.46–0.61) in Venezia among Italians, and from 0.14 (0.35–0.54) in Modena to 0.68 (0.60–0.75) in Roma among immigrants. Among Italians, gender specific rates were always higher among males, from 0.19 (0.12–0.27) in Modena to 0.63 (0.57–0.70) in Torino, compared to females whose rates were from 0.17 (0.10–0.25) in Modena to 0.48 (0.38–0.59) in Venezia. Among immigrants, rates ranged from 0.05 (0.00–0.14) in Modena to 0.80 (0.46–1.13) in Reggio Emilia among males, and from 0.24 in Modena (0.03–0.45) and Bologna (0.06–0.42) to 0.66 (0.58–0.79) in Roma among females (Table 1).

Table 1 Discharges, PYs, crude (CHR) and age-standardized (SHR) asthma PAH rates by citizenship, cohort, and gender
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Results from the negative binomial regression and meta-analytic results

Compared to Italian counterparts, excess-age and calendar-year-adjusted asthma PAH rates were found only among immigrant males in Bologna (HRR:2.42; 95%CI:1.53–3.81) and Roma (1.22; 1.02, 1.45), and among immigrant females in Torino (1.56; 1.10–2.20) and Roma (1.82;1.50–2.20). Heterogeneity was observed among areas of origin in the HMPCs group, though estimates were imprecise, due to low or null numbers of cases.

Meta-analytic results showed a higher asthma PAH rate among immigrants compared to Italians among females only (MHRR:1.48; 95%CI:1.18–1.87). Results among males also showed a higher asthma PAH rate among immigrants compared to Italians (MHRR:1.26; 95% CI:0.96–1.71), though not statistically significant. Also, the statistic I2 showed a substantial level of heterogeneity across studies for males (65.3%; p = 0.013) (Fig. 2).

Fig. 2
figure 2

Age and calendar-year-adjusted asthma PAH HRRs (HMPCs vs Italy) by cohort and gender, and MHRRs. 1 Entry in the cohort: 21/10/2001. 2 End of follow-up: 31/12/ 2014. 3 We used the birthplace for individuals residing in Roma until 2007

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Results by geographical area of origin

Compared to Italians, 63 to 113% meta-analytic excess overall (males and females) PAH was found for all the areas of origin, except for immigrants coming from Central-Eastern Europe (MHRR:0.80; 95% CI:0.65–0.98), with some heterogeneity across cohorts (Table 2).

Table 2 Random effect meta-analytic asthma PAH rate ratios (MHRR) adjusted for age and calendar-year (reference: Italy)
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Discussion

Using an IPD meta-analytic approach, this multi-cohort longitudinal study showed higher meta-analytic PAH rate for asthma among female children and adolescent immigrants from HMPCs compared to Italians. Cohort specific results also showed some heterogeneity across the cohorts and differences also among male immigrants and Italians. Indeed, we found higher cohort-specific rates for immigrant females in Torino and Roma; and also for immigrant males in Bologna and Roma. The meta-analytic analysis by area of origin showed higher hospitalization for immigrants compared to Italians, except for those coming from Central-Eastern Europe. The excess was marked among Sub-Saharan Africans.

There are no studies on PAH for asthma focusing on the comparison between immigrants and non-immigrants in Italy. Very few such PAH studies are available in other European countries, even though these studies are often based on the concept of ethnicity or minority group [18, 32]. Although the concepts of “migrant group” and “ethnic minority group” differ substantially, they partially overlap in countries where the migration process is relatively recent, and particularly in some European countries [33]. Among the European studies, a retrospective cohort study conducted in Scotland over a 9-year study period found ethnic variations in first asthma hospitalization or death from asthma [34]. The study population included all ages. One explanation of the results suggested by the Authors was the variation in the quality of care provision across different ethnic groups, which may also hold true for our results. Also, a systematic review conducted in the UK, found a disparity between the reduced prevalence of asthma among some ethnic minorities and a higher asthma-related use of health services [35]. The Authors concluded that ethnic minorities probably receive different amounts of primary care compared to white patients.

If we consider evidence from the USA, we find studies documenting racial disparities in hospitalizations for asthma in children and young adults, with black people showing increased hospitalization rates compared with white patients [36,37,38]. Another study found racial and ethnic differences in asthma prevalence despite access to care, with African American and Hispanic children more likely to have PAH for asthma and asthma-related emergency department visits, and less likely to visit a specialist compared with white children [39]. Various factors have been suggested to explain the differences observed, including the quality of medical care, home environment, and genetic differences. However, these studies conducted in the USA, have a different exposure variable and migration patterns are different compared to Italy, making the comparison to Italy sub-optimal.

Interpretation and generalizability

As among females, immigrant children and adolescents have higher PAH than Italians, while among males they show higher PAH than Italians in the cohorts of Bologna and Roma. A possible interpretation of these findings is that they might reflect a combination of increasing asthma prevalence after immigration, more severe asthma symptoms, a lower ability to manage asthma symptoms and lower care; in addition to more barriers in accessing primary care and increased utilization of emergency units. Barriers may occur at patient level, provider level and system level [40], and may depend on problems with language (such as difficulties to describe an illness or to understand medical advice), bureaucratic aspects (e.g. lack of proper documentation to access the health service), cultural (e.g. different recognition of symptoms or perception of an illness), or organizational (e.g. difficulties to combine own-work-time with opening-time of health provider) [1]. In addition, immigrants may experience specific barriers depending on the local context where they live, which may differently affect the use of health services. In a systematic review on the development of asthma and allergic diseases in relation to international immigration, which involves moving from low income to Western countries, the Authors found that although the prevalence of asthma among immigrants was lower than among non-immigrants, it increased steadily with length of residence [41]. This may suggest that environmental factors are involved in the development of asthma among the usually healthy immigrants, and that barriers accessing primary care [20] may be related to the observed increased rate of hospitalization. Also, the severity of the disease, which was found to be related to the ethnic background [42], may be involved to explain the higher hospitalization for asthma. In the United States, asthma attacks were found higher among African American children [43], and the risk of ED visits were found higher among non-whites and Hispanics, compared to non-Hispanic whites [44]. Another explanation may be that PAH is the consequence of a low ability to manage asthma among immigrants. Racial and ethnic minorities disparities for pediatric asthma care were observed in the United States as consequences of the interactions between the patient family and the healthcare provider [45].

The higher meta-analytic PAH for asthma among female children and adolescent immigrants compared to non-immigrants, but not males, may be explained by factors such as gender differences of severity and prevalence at different ages [29], or of compliance to treatment and awareness. However, we also found higher meta-analytic PAH among immigrant males compared to non-immigrants, although not statistically significant, as well as higher cohort-specific PAH in some cohorts. Alternative explanations, such as some heterogeneity of the results among the cohorts and the low number of events in some cohorts, can be invoked. Therefore, further analysis is necessary to better examine and give interpretation for the gender-specific patterns observed.

We also found that Sub-Saharan Africans had the highest rate of PAH for asthma. Studies conducted in Italy on different health outcomes, such as mortality [23] or perinatal outcomes [46], showed vulnerability of immigrants from Sub-Saharan Africans. A study conducted in the United States found a consistent association of African ancestry with asthma risk [47]. Our interpretation is that socioeconomic, environmental, and genetic factors may all play a role. On the other hand, we found lower risks for immigrants from Central-Eastern countries which may depend on a higher integration of this population in Italy. Further studies are required to explain the variability observed among immigrant groups.

Finally, the results suggest some differences among the cohorts. We think that the differences may be related to unmeasured individual and contextual factors, such as the severity and prevalence of the disease, the composition of the immigrant population and their health literacy, or the accessibility to healthcare services in the local context. However, caution is needed in the interpretation as they may also be related to the very low number of events in some cohorts.

It is posited that some advantages of the present study, particularly in the creation and use of longitudinal studies, are such that they give value and validation to the Authors’ interpretation. The study encompasses 13 years and provides sufficiently enough cases to measure the associations. In addition, the study is conducted using data from six cohorts of all residents in cities located in the North and Central Italy. This data may mirror the effect of local policies on healthcare assistance to different migratory flows, and consequentially, on the amounts of prevailing PAH for asthma. The use of standardized archives of data and shared procedures for data analysis guarantee the internal validity of the results. The inclusion of cities located in the North and Central Italy, where the number of immigrants is high, support the generalizability of results to other Italian cities and to cities of other European countries with universal health systems and immigration from HMPCs.

Limitations

A limit of our study is that we could not include relevant risk factors which might confound the associations or act as effect modifiers. For example, the time period of residence may have a bidirectional effect on asthma because on the one hand it may increase health literacy, and thus the ability to access primary care, and on the other hand it may increase the risk of the onset of asthma and episodes as a consequence of exposure to environmental factors [12]. Another relevant factor is the socioeconomic status which is negatively associated to an increased risk of asthma [48]. The socioeconomic status might also be an effect modifier of the association between the migrant status and asthma. Indeed, there is evidence that disadvantaged migrants have better health than advantaged non-migrants, an effect known as the epidemiological paradox [49, 50]. Finally, despite the fact that we expected the prevalence of asthma to be different among the groups compared [12, 51], which may affect the risk of hospitalization, the prevalence estimate was not available and therefore it was not possible to consider its effect on the results.

We must mention two relevant aspects concerning misclassification and its possible related information bias. Firstly, we used the birthplace instead of citizenship as a proxy measure of the migrant status for people residing in Rome before the year 2007, as citizenship at that time was not available. Thus, the offspring of immigrants in Italy would be classified as Italians, even though they had a migrant background. In 2007, 11.3% of those born in Italy had foreign parents [52]. Conversely, very few Italians were born in another country (less than 0.3%) [53]; and while it was difficult to estimate the effect of this potential misclassification, we expect that it would not have changed the direction of the association observed, because the analysis was based on a very large population. It may be useful to consider that in another study, where we calculated cause-specific and overall hospitalization rates using data from the same cohorts, we found the results for Rome to be more similar to those of all the cohorts included, after restricting the analysis to the years 2008–2013, compared to 2001–2013. However, the results were not much different from the results over the whole study period 2001–2013 [24].

Secondly, the migrant status may be misclassified for those individuals who acquired Italian citizenship during the study period. However, the percentage of individuals obtaining Italian citizenship was low due to the legislation in force, the ius sanguinis, which requires many years of residence in Italy to be eligible for Italian citizenship. According to the Italian National Institute of Statistics, about 135,814 non-EU immigrants acquired the Italian citizenship in 2017, representing only 3,7% of the non-EU immigrants living in the country [54].

Conclusion

This is the first study on PAH for a relevant chronic disease such as asthma among children and adolescent immigrants and Italians, based on six cities participating in The Italian Network of Longitudinal Metropolitan Studies representing Central and Northern Italy. The results showed that PAH for asthma was higher among female immigrants from HMPCs compared to the Italian counterparts. Among males, we only observed cohort specific higher PAH for immigrants compared to Italians. We also found differences by geographic area of origin. Since hospitalization for asthma is potentially avoidable, barriers that limit access to and the accessibility of primary care for immigrants should be removed. Also, immigrants should be considered a population at risk of developing severe outcomes due to uncontrolled asthma, and accordingly targeted by clinicians, with specific consideration to their country of origin. The problem of explaining gender specific patterns is a fascinating one, but which the Authors did not have the remit to fully explore. It is something that deserves further study.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due to stringent legal restrictions regarding privacy policy on personal information in Italy (national legislative decree on privacy policy n. 196/30 June 2003). In addition, due to security aspects, data can be analysed only in a safe place. Researchers may contact the corresponding Author for questions concerning the data, which are available from the Authors upon reasonable request and with permission of the Italian Data Protection Authority.

Abbreviations

PAH:

Potentially avoidable hospitalization

HRRs:

Hospitalization rate ratios

95%CIs:

95% confidence intervals

MHRRs:

Estimated meta-analytic hospitalization rate ratios

ACSCs:

Ambulatory care sensitive conditions

IN-LiMeS:

Italian Network of Longitudinal Metropolitan Studies

AHRQ:

Healthcare Research and Quality

PYs:

Person-years

ICD-9-CM:

International Classification of Diseases, Ninth Revision, Clinical Modification

HMPCs:

High Migratory Pressure Countries

HDCs:

High Developed Countries

CHRs:

Crude hospitalization rates

SHRs:

Standardized hospitalization rates

IPD:

Individual Participant Data

References

  1. Norredam M, Nielsen SS, Krasnik A. Migrants’ utilization of somatic healthcare services in Europe-a systematic review. Eur J Pub Health. 2010;20(5):555–63.

    Article  Google Scholar 

  2. ISTAT Geo Demo. Popolazione straniera residente al 1° gennaio 2018 per età e sesso: ISTAT; 2020. http://demo.istat.it/strasa2018/index.html. Accessed 29 July 2020.

  3. ISTAT I.Stat. Permessi di soggiorno dei cittadini non comunitari: Cittadinanza e motivo del permesso: ISTAT; 2020. http://dati.istat.it/Index.aspx?QueryId=19721#. Accessed 29 July 2020.

  4. Rosano A, Ronda-Pérez E, García Benavides F, Cacciani L, Baglio G, Spagnolo A. Work-related health problems among resident immigrant workers in Italy and Spain. IJPH. 2012;9(3):e7528.

    Google Scholar 

  5. Agyemang C, van den Born BJ. Non-communicable diseases in migrants: an expert review. J Travel Med. 2019;26(2):tay107.

    Article  PubMed  Google Scholar 

  6. GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med. 2017;5(9):691–706.

    Article  Google Scholar 

  7. Sestini P, De Sario M, Bugiani M, Bisanti L, Giannella G, Kaisermann D, et al. La prevalenza di asma e allergie nei bambini e adolescenti italiani: i risultati del progetto SIDRIA-2 [Frequency of asthma and allergies in Italian children and adolescents: results from SIDRIA-2]. Epidemiol Prev. 2005;29(2 Suppl):24–31.

    PubMed  Google Scholar 

  8. Accordini S, Cappa V, Braggion M, Corsico AG, Bugiani M, Pirina P, et al. The impact of diagnosed and undiagnosed current asthma in the general adult population. Int Arch Allergy Immunol. 2011;155(4):403–4.

    Article  PubMed  Google Scholar 

  9. Lewis KM, Ruiz M, Goldblatt P, Morrison J, Porta D, Forastiere F, et al. Mother’s education and offspring asthma risk in 10 European cohort studies. Eur J Epidemiol. 2017;32(9):797–805.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sonnenschein-van der Voort AMM, Arends LR, de Jongste JC, Annesi-Maesano I, Arshad SH, Barros H, et al. Preterm birth, infant weight gain, and childhood asthma risk: a meta-analysis of 147,000 European children. J Allergy Clin Immunol. 2014;133(5):1317–29.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Montella S, Baraldi E, Cazzato S, Aralla R, Berardi M, Brunetti LM, et al. Severe asthma features in children: a case–control online survey. Ital J Pediatr. 2016;42:9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Migliore E, Pearce N, Bugiani M, Galletti G, Biggeri A, Bisanti L, et al. Prevalence of respiratory symptoms in migrant children to Italy: the results of SIDRIA-2 study. Allergy. 2007;62(3):293–300.

    Article  CAS  PubMed  Google Scholar 

  13. Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. JAMA. 1992;268(17):2388–94.

    Article  CAS  PubMed  Google Scholar 

  14. Billings J, Zeitel L, Lukomnik J, Carey TS, Blank AE, Newman L. Impact of socioeconomic status on hospital use in New York City. Health Aff (Millwood). 1993;12(1):162–73.

    Article  CAS  Google Scholar 

  15. Rosano A, Loha CA, Falvo R, van der Zee J, Ricciardi W, Guasticchi G, et al. The relationship between avoidable hospitalization and accessibility to primary care: a systematic review. Eur J Pub Health. 2013;23(3):356–60.

    Article  Google Scholar 

  16. Calderón-Larrañaga A, Carney L, Soljak M, Bottle A, Partridge M, Bell D, et al. Association of population and primary healthcare factors with hospital admission rates for chronic obstructive pulmonary disease in England: national cross-sectional study. Thorax. 2011;66:191–6.

    Article  PubMed  Google Scholar 

  17. P.Re.Val.E. Regional program outcomes evaluation Lazio region. 2020 edition. 2020. http://www.dep.lazio.it/prevale2020/index.php. Accessed 3 Aug 2020.

    Google Scholar 

  18. Dalla Zuanna T, Spadea T, Milana M, Petrelli A, Cacciani L, Simonato L, et al. Avoidable hospitalization among migrants and ethnic minority groups: a systematic review. Eur J Pub Health. 2017;27(5):861–8.

    Article  Google Scholar 

  19. Dalla Zuanna T, Cacciani L, Barbieri G, Ferracin E, Zengarini N, Di Girolamo C, Caranci N, Petrelli A, Marino C, Agabiti N, Canova C. Avoidable hospitalisation for diabetes mellitus among immigrants and natives: Results from the Italian Network for Longitudinal Metropolitan Studies. Nutr Metab Cardiovasc Dis. 2020;30(9):1535-43. https://doi.org/10.1016/j.numecd.2020.05.006.

  20. Di Napoli A, Petrelli A, Rossi A, Rosano A. Access to medical examination for primary prevention among migrants. In: Rosano A, editor. Access to primary care and preventive health services of migrants. Switzerland: Springer International Publishing; 2018. p. 3–10.

  21. Ferrante G, La Grutta S. The burden of pediatric asthma. Front Pediatr. 2018;6:186.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Caranci N, Di Girolamo C, Giorgi Rossi P, Spadea T, Pacelli B, Broccoli S, et al. Cohort profile: the Italian network of longitudinal metropolitan studies (IN-LiMeS), a multicentre cohort for socioeconomic inequalities in health monitoring. BMJ Open. 2018;8:e020572.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Pacelli B, Zengarini N, Broccoli S, Caranci N, Spadea T, Di Girolamo C, et al. Differences in mortality by immigrant status in Italy. Results of the Italian network of longitudinal metropolitan studies. Eur J Epidemiol. 2016;31(7):691–701.

    Article  PubMed  Google Scholar 

  24. Petrelli A, Di Napoli A, Agabiti N, Barbieri G, Bardin A, Bargagli AM, et al. Salute degli immigrati e disuguaglianze nella popolazione residente in Italia valutate attraverso la rete degli Studi Longitudinali Metropolitani [Immigrants’ health and socioeconomic inequalities of overall population residing in Italy evaluated through the Italian network of Longitudinal Metropolitan Studies]. Epidemiol Prev. 2019;43(5–6 Suppl 1):1–80.

    PubMed  Google Scholar 

  25. Agency for Healthcare Research and Quality. 2019. www.qualityindicators.ahrq.gov. Accessed 18 Sept 2019.

  26. AHRQ QITM Research Version 5.0, Pediatric Quality Indicators #14, Technical Specifications, Asthma Admission Rate. 2020. https://www.qualityindicators.ahrq.gov/Downloads/Modules/PDI/V50/TechSpecs/PDI_14_Asthma_Admission_Rate.pdf. Accessed 29 July 2020.

  27. Fondazione ISMU. The twenty-third Italian report on migrations 2017. 2020. https://www.ismu.org/wp-content/uploads/2018/05/XXIII-Report-on-migrations-2017-1.pdf. Accessed 29 July 2020.

    Google Scholar 

  28. Agency for Healthcare Research and Quality. Prevention quality indicators overview. 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_overview.aspx. Accessed 29 July 2020.

    Google Scholar 

  29. Bonds RS, Midoro-Horiuti T. Estrogen effects in allergy asthma. Curr Opin Allergy Clin Immunol. 2013;13(1):92–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Burke DL, Ensor J, Riley RD. Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ. Stat Med. 2017;36(5):855–75.

    Article  PubMed  Google Scholar 

  31. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Cacciani L, Agabiti N, Davoli M, Dalla Zuanna T, Canova C. Avoidable hospitalization among migrants and ethnic minorities in developed economies. In: Rosano A, editor. Access to primary care and preventive health services of migrants. Switzerland: SpringerBriefs in Public Health; 2018. p. 67–82.

  33. Rechel B, Mladovsky P, Devillé W, et al., editors. Migration and health in the European Union. 1st ed. Glasgow: Mc Graw-Hill; 2011.

    Google Scholar 

  34. Sheikh A, Steiner MFC, Cezard G, Bansal N, Fischbacher C, Simpson CR, et al. Ethnic variations in asthma hospital admission, readmission and death: a retrospective, national cohort study of 4.62 million people in Scotland. BMC Med. 2016;14:3.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Netuveli G, Hurwitz B, Levy M, Fletcher M, Barnes G, Durham SR, et al. Ethnic variations in UK asthma frequency, morbidity, and health-service use: a systematic review and meta-analysis. Lancet. 2005;365(9456):312–7.

    Article  PubMed  Google Scholar 

  36. Akinbami LJ, Moorman JE, Simon AE, Schoendorf KC. Trends in racial disparities for asthma outcomes among children 0 to 17 years, 2001–2010. J Allergy Clin Immunol. 2014;134(3):547–553.e5.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Moorman JE, Akinbami LJ, Bailey CM, Zahran HS, King ME, Johnson CA, Liu X. National surveillance of asthma: United States, 2001-2010. Vital Health Stat 3. 2012;35:1–58.

  38. Getahun D, Demissie K, Rhoads GG. Recent trends in asthma hospitalization and mortality in the United States. J Asthma. 2005;42(5):373–8.

    Article  PubMed  Google Scholar 

  39. Stewart KA, Higgins PC, McLaughlin CG, Williams TV, Granger E, Croghan TW. Differences in prevalence, treatment, and outcomes of asthma among a diverse population of children with equal access to care: findings from a study in the military health system. Arch Pediatr Adolesc Med. 2010;164(8):720–6.

    Article  PubMed  Google Scholar 

  40. Scheppers E, van Dongen E, Dekker J, Geertzen J, Dekker J. Potential barriers to the use of health services among ethnic minorities: a review. Fam Pract. 2006;23(3):325–48.

    Article  PubMed  Google Scholar 

  41. Cabieses B, Uphoff E, Pinart M, Antó JM, Wright J. A systematic review on the development of asthma and allergic diseases in relation to international immigration: the leading role of the environment confirmed. PLoS One. 2014;9(8):e105347.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Puranik S, Forno E, Bush A, Celedón JC. Predicting severe asthma exacerbations in children. Am J Respir Crit Care Med. 2017;195(7):854–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Akinbami LJ, Moorman JE, Liu X. Asthma prevalence, health care use, and mortality: United States, 2005-2009. Natl Health Stat Report. 2011;32:1–14.

  44. Mehta NK, Lee H, Ylitalo KR. Child health in the United States: recent trends in racial/ethnic disparities. Soc Sci Med. 2013;95:6–15.

    Article  PubMed  Google Scholar 

  45. Trivedi M, Fung V, Kharbanda EO, Larkin EK, Butler MG, Horan K, et al. Racial disparities in family-provider interactions for pediatric asthma care. J Asthma. 2018;55(4):424–9.

    Article  PubMed  Google Scholar 

  46. Cacciani L, Asole S, Polo A, Franco F, Lucchini R, De Curtis M, et al. Perinatal outcomes among immigrant mothers over two periods in a region of central Italy. BMC Public Health. 2011;11:294.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Flores C, Ma SF, Pino-Yanes M, Wade MS, Pérez-Méndez L, Kittles RA, et al. African ancestry is associated with asthma risk in African Americans. PLoS One. 2012;7(1):e26807.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Forno E, Celedon JC. Asthma and ethnic minorities: socioeconomic status and beyond. Curr Opin Allergy Clin Immunol. 2009;9(2):154–60.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Auger N, Luo ZC, Platt RW, Daniel M. Do mother’s education and foreign born status interact to influence birth outcomes? Clarifying the epidemiological paradox and the healthy migrant effect. J Epidemiol Community Health. 2008;62(5):402–9.

    Article  CAS  PubMed  Google Scholar 

  50. Baker EH, Rendall MS, Weden MM. Epidemiological paradox or immigrant vulnerability? Obesity among young children of immigrants. Demography. 2015;52(4):1295–320.

    Article  PubMed  Google Scholar 

  51. Aarab R, Vijverberg SJH, Prins M, Snijder MB, van Ree R, Fokkens WJ, et al. Prevalence of and factors associated with adult-onset asthma in different ethnic groups: the HELIUS study. Respir Med. 2019;150:113–9.

    Article  CAS  PubMed  Google Scholar 

  52. Centro diffusione dati ISTAT. Indicatori demografici. Stime per l’anno 2017. 2019. https://www.istat.it/it/files/2018/02/Indicatoridemografici2017.pdf. Accessed 18 Sept 2019.

  53. ISTAT Geo Demo. Nati per area geografica di nascita italiana o estera e provincia di residenza - Anno di iscrizione 2007: ISTAT; 2019. http://demo.istat.it/altridati/IscrittiNascita/2007/T3.2.pdf. Accessed 18 Sept 2019.

  54. Centro diffusione dati ISTAT. Cittadini non comunitari: presenza, nuovi ingressi e acquisizioni di cittadinanza. Anni 2011-2018. 2019. https://www.istat.it/it/files//2018/11/Report_cittadini_non_comunitari.pdf. Accessed 18 Sept 2019.

    Google Scholar 

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Acknowledgements

The Authors wish to thank the participants of the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS) Group. We are grateful to the Reviewers for their comments and insights which helped us to improve the quality of the manuscript. We also wish to thank Nigel Mepstead for the linguistic revision.

Funding

None.

Author information

Author notes

  1. Barbara Pacelli passed away prematurely in 2019. She was very much involved in the Italian Network of Longitudinal Metropolitan Studies, which are the basis of the present study. The Authors wish to remember Barbara Pacelli as an outstanding researcher in the field of social epidemiology.

Authors and Affiliations

  1. Dipartimento di Epidemiologia del Servizio Sanitario Regionale del Lazio, Asl Roma 1, Roma, Italy

    Laura Cacciani, Claudia Marino, Nera Agabiti & Marina Davoli

  2. Dipartimento di Scienze Cardio-Toraco-Vascolari e Sanità Pubblica, Università di Padova, Padova, Italy

    Cristina Canova, Giulia Barbieri & Teresa Dalla Zuanna

  3. Agenzia Sanitaria e Sociale Regionale, Emilia-Romagna, Bologna, Italy

    Barbara Pacelli & Nicola Caranci

  4. S.C. a D.U. Servizio Sovrazonale di Epidemiologia - ASL TO3, Torino, Italy

    Elena Strippoli & Nicolás Zengarini

  5. Istituto Nazionale Salute Migrazioni e Povertà – INMP, Roma, Italy

    Anteo Di Napoli

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  1. Laura Cacciani
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Contributions

LC, CC, TDZ and NA conceived the study. LC, CC, BP, NC, NZ, and NA were involved in the design of the study. LC, CC, GB, CM, BP, and ES were involved in the acquisition of data. LC, CC, GB, BP, and ES carried out the statistical analysis. LC, CC, TDZ, BP, NC, NZ, ADN, NA and MD interpreted the results and critically revised the manuscript. LC wrote the first draft of the manuscript and final version. All Authors read and approved the final manuscript.

Corresponding author

Correspondence to Laura Cacciani.

Ethics declarations

Ethics approval and consent to participate

Ethical approval retrospective studies: the IN-LiMeS is part of the Italian National Statistical Program for the years 2017–2019 and was approved by the Italian Data Protection Authority. No administrative permissions were required to access the raw data. Patients’ data were completely anonymized, de-identified and analyzed in aggregate form for statistical purposes. Results are shown in aggregate form. Therefore, informed consent and Ethics Committee approval are not required.

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Not applicable.

Competing interests

The Authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Table A1.

Study population by citizenship, cohort, and gender.

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Cacciani, L., Canova, C., Barbieri, G. et al. Potentially avoidable hospitalization for asthma in children and adolescents by migrant status: results from the Italian Network for Longitudinal Metropolitan Studies. BMC Public Health 20, 1858 (2020). https://doi.org/10.1186/s12889-020-09930-9

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Keywords

  • Immigrants
  • Children and adolescents
  • Potentially avoidable hospitalization
  • Asthma
  • Healthcare disparities
  • Longitudinal study
  • Italy

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