Literature DB >> 29535513

Effect of the economic crisis on the use of health and home care services among Spanish COPD patients.

Javier de Miguel-Diez1, Ana Lopez-de-Andres2, Valentin Herandez-Barrera2, Isabel Jimenez-Trujillo2, Luis Puente-Maestu1, Alicia Cerezo-Lajas1, Rodrigo Jimenez-Garcia2.   

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a major cause of disability and death worldwide. Consequently, COPD patients are frequent users of health and social resources. Therefore, they are highly vulnerable to decreases in investment in healthcare services. We aimed to describe the utilization of health and home care services among Spanish COPD patients during the economic crisis to identify factors independently associated with changes in the utilization of these services and to study the time trends from 2009 to 2014.
Methods: We used data from the European Health Interview Surveys for Spain (EHSS) conducted between 2009/2010 (n=22,188) and 2014 (n=22,842). We included responses from adults with COPD aged 40 years or over. Dependent variables included self-reported hospitalizations during the previous year, general practitioner (GP) visits during the last 4 weeks, other health care services used during the previous year (nursing, rehabilitation, and psychological services), and home care services use during the previous year. Independent variables included demographic and socioeconomic characteristics, health status variables, and lifestyles.
Results: We identified 1,328 and 1,008 COPD patients from EHSS 2009 and EHSS 2014, respectively. We observed a significant increase in non-GP services use (30.6% in 2009 vs 39.11% in 2014; p<0.001). No changes were found for hospitalizations, GP visits, and home care services use over time. Multivariable models showed that associated factors with a higher use included any chronic comorbidity and worse self-rated health. Physical activity was a strong predictor of fewer hospitalizations and less home care service use. Female sex was associated with significantly fewer hospitalizations (OR 0.72; 95% CI 0.58-0.89).
Conclusion: We found an increase in the use of non-GP services (nursing, rehabilitation, and psychological) but not in other health and home care services. The only differences in hospitalizations were observed according to sex. Therefore, the effect of the economic crisis, if any, seems to have been of small magnitude.

Entities:  

Keywords:  COPD; economic crisis; healthcare services; population-based; survey; time trends

Mesh:

Year:  2018        PMID: 29535513      PMCID: PMC5836665          DOI: 10.2147/COPD.S150308

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Background

Chronic obstructive pulmonary disease (COPD) represents an important health problem, being a major cause of disability and death worldwide.1 According to the Burden of Obstructive Lung Disease group, the average global COPD prevalence was 10.1%, with wide variations across the participating countries.2 In addition, COPD becomes more common with age, and it has been shown to have a substantial impact on health outcomes, including healthcare resource use.3,4 Consequently, the management of COPD is a significant and costly issue.5 Regardless of severity, COPD patients often require healthcare assistance, in terms of not only hospitalizations but also scheduled and non-scheduled office visits and emergency visits.6 These individuals may also need health services for comorbid conditions, which have an important impact on functions and the quality of life.7–9 Other factors that can influence higher healthcare resource utilization in patients with COPD are reduced physical activity, respiratory failure and systemic inflammation.6 In Spain, there has been a reduction in healthcare services because of the austerity measures that have been imposed during the economic crisis of 2008, and out-of-pocket payments have been implemented for some services.10 These policies probably did not affect the whole population in the same way; vulnerable groups, due to their worse health conditions, can be at greater risk of exclusion from social and healthcare services. Since COPD patients are frequent users of health and social resources, a better understanding of the patterns of use of these services during the economic crisis is fundamental for the establishment of health plans geared toward the proper management of COPD in these patients and the reduction of overall costs of this disease.5 However, data on the use of health and social services during the economic crisis among Spanish COPD patients, associated factors and time trends are lacking. The main objectives of this study were (a) to describe the utilization of health and home care services among Spanish patients with COPD according to sex during the economic crisis (2009 to 2014); (b) to identify which factors, including sociodemographic, characteristics, health-related and lifestyle variables, were independently associated with changes in the utilization of health and home care services according to sex; and (c) to study the time trends, from 2009 to 2014, in the use of health and home care and social services among COPD patients, both women and men.

Methods

Study design, setting, and participants

We conducted a cross-sectional study using individualized data taken from the European Health Interview Surveys for Spain (EHSS) conducted in 2009/2010 (n=22,188) and 2014 (n=22,842). These surveys covered a representative sample of non-institutionalized adults (age 15 years or over) residing in main family dwellings (households) in Spain. Information was collected in home-based, computer-assisted, personal interviews conducted from April 2009 to March 2010 for the EHSS 2009/2010 and from January to December 2014 for the EHSS 2014. Details on the survey methodology can be found elsewhere.11,12 The interviews were conducted in Spanish. The translation was done by the Spanish Ministry of Health. We selected those subjects aged 40 years or over from the EHSS 2009 and EHSS 2014. To identify those with COPD in our study, we included all subjects if they answered affirmatively to the following question: “Has your doctor told you that you are currently suffering from chronic bronchitis, emphysema, or COPD?

Study variables and data sources/measurement

The variables included in our study were based on questions identically worded in both surveys. The questions used to assess the use of healthcare services were as follows: (a) “Have you been in the hospital as an inpatient, that is overnight or longer, in the last year?”, with two possible answers, “Yes” or “No”; (b) “Have you visited a general practitioner (GP) for any medical condition in the last 4 weeks?”, with two possible answers, “Yes” or “No”; and (c) “Have you used nurse care services/rehabilitative care services/psychological care services in the last year?”, in relation to which we created the variable “Non-GP services use”, which is considered affirmative if one or more of the nurse care services and/or rehabilitative care services and/or psychological care services were used. Information regarding the use of home services in the last year included five questions: (a) “Have you used home care service provided by a nurse or midwife?”; (b) “Have you received home help for housework or for looking after elderly people in your home?”; (c) “Have you received meals on wheels?”; (d) “Have you received any transport service?”; and (e) “Have you received any other home care services?”; with two possible answers, “Yes” or “No”, for each question. We considered receivers of home care services as those persons who answered “Yes” to any of the previous five questions and not those who answered negatively to all of them.11,12 All those patients who answered “I do not know” or refused to answer were excluded from the analysis of that question. We analyzed the following independent variables: (a) demographic and socioeconomic characteristics, including age, gender, educational level, monthly income and if the person interviewed was living with a partner (yes/no); (b) health status, including self-perceived health (very good/good vs fair/poor/very poor), self-reported physician diagnosed chronic conditions (asthma, coronary disease, myocardial infarction, angina, cerebral infarction, cerebral hemorrhage, cerebral embolism and cancer), mental disorders (anxiety and depression) and pain; and (c) lifestyles including self-reported body mass index (BMI), physical exercise, tobacco use and alcohol consumption. The questions used to create these variables can be found elsewhere, and the categories are shown in Table 1.13,14
Table 1

Distribution of hospitalization admissions in COPD subjects according to demographic and socioeconomic variables, health status, and lifestyles in the EHSS, 2009 and 2014

Variables2009
2014
Men, n (%)Women, n (%)Men, n (%)Women, n (%)
Age groupsA,B,C,D
 40–54 years12 (10.34)19 (14.07)10 (14.08)10 (12.82)
 55–69 years40 (22.1)31 (14.9)31 (22.63)35 (21.34)
 70 years or overa103 (34.56)83 (26.18)77 (29.39)77 (29.96)
Educational levelA
 No formal study/primarya126 (29.93)101 (21.04)81 (27)91 (26.53)
 Secondary17 (16.04)26 (19.12)22 (20.37)21 (20.59)
 Higher education12 (17.65)6 (13.64)15 (24.19)10 (18.52)
Monthly incomeD
 <850 Eurosb47 (29.56)48 (21.24)43 (25.75)64 (30.33)
 850–1,400 Euros39 (23.78)29 (17.9)33 (33.67)25 (27.47)
 >1,400 Euros48 (24.12)38 (20.54)31 (22.63)18 (16.07)
Living with partner
 Yes100 (24.15)54 (17.25)87 (26.61)43 (20.77)
 No55 (30.39)79 (22.77)31 (21.68)79 (27.05)
Self-rated healthA,B,C,D
 Very good/good19 (10.92)11 (7.24)13 (9.77)12 (10.91)
 Fair/poor/very poora136 (32.3)122 (24.02)105 (31.16)110 (28.28)
Any chronic comorbidityA,B,C,D
 No42 (17.14)31 (12.4)21 (13.21)28 (15.56)
 Yesa113 (32.29)102 (24.88)97 (31.19)94 (29.47)
High blood pressureB,D
 Noa74 (22.98)54 (15.98)61 (24.4)48 (19.59)
 Yes81 (29.67)79 (24.53)57 (25.91)74 (29.13)
Mental disorderA,B
 Noa122 (24.02)69 (16.79)97 (24.87)65 (22.03)
 Yesa33 (37.93)64 (25.7)21 (26.25)57 (27.94)
PainA,B,C
 No49 (18.35)22 (13.84)30 (19.23)15 (19.74)
 Yesa106 (32.32)111 (22.16)88 (28.03)107 (25.3)
Body mass indexA,D
 <25 kg/m2,a50 (33.33)30 (17.14)37 (26.43)26 (19.12)
 25–30 kg/m253 (21.46)34 (17.62)43 (22.05)37 (22.56)
 ≥30 kg/m235 (23.65)43 (23.63)34 (28.81)47 (32.19)
Physical exerciseA,B,C
 0–3 days per weeka75 (35.21)74 (23.72)72 (34.29)65 (27.31)
 4–7 days per week80 (20.94)59 (16.95)46 (17.69)57 (21.84)
Tobacco useA,C
 Current smoker30 (18.18)14 (14.89)20 (16.67)17 (21.25)
 Ex-smoker80 (29.52)21 (25.61)86 (30.07)21 (26.25)
 Never smokerb21 (20.79)80 (18.48)12 (19.05)84 (24.78)
Alcohol consumptionA,B,C,D
 Noa89 (29.67)119 (21.6)66 (30.84)102 (27.06)
 Yesa66 (22.37)14 (12.84)52 (20.31)20 (16.39)
Totala155 (26.05)133 (20.15)118 (25.11)122 (24.45)

Notes:

Significant differences (p<0.05) between the variable and hospitalization among COPD men in 2009.

Significant differences (p<0.05) between the variable and hospitalization among COPD women in 2009.

Significant differences (p<0.05) between the variable and hospitalization among COPD men in 2014.

Significant differences (p<0.05) between the variable and hospitalization among COPD women in 2014.

Significant differences (p<0.05) between COPD men and COPD women for hospitalizations in 2009.

Significant differences (p<0.05) between hospitalizations in COPD women in 2009 and hospitalizations in COPD women in 2014.

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Statistical methods

The distribution according to the study variables was described and compared for each EHSS and for women and men. We used proportion and means with standard deviations as descriptive statistics. We estimated the use of health and home care services variables in each of the two surveys. To perform bivariate comparisons, we used the chi-squared test for categorical variables and two-sided independent t-tests for continuous variables. We conducted multivariable logistic regression models for each dependent variable (hospitalization, GP visit, use of home care services, use of other health care services) to identify those study variables independently associated with the use of these services. We conducted the multivariable models using each EHSS and a database with both EHSS joined to assess the time trend from 2009 to 2014. The multivariable analyses were performed including those variables that were statistically significant in the bivariate analysis and those which, although they did not reach the point of statistical significance, were of interest from an epidemiological and healthcare point of view. The results of the regression models are shown as OR with 95% CI. We checked for interactions in the models. A sensitivity analysis was performed to see if there was an overall difference between the two years studied in addition to the effect of changes in the income overtime. To do so, we conducted the multivariable model with and without the variable “Monthly income” included. Estimations were made using the STATA program, and significance was set at two-tailed α<0.05.

Ethical aspects

This study was conducted using an anonymous public access dataset, and confidentiality was maintained at all times. In accordance with Spanish legislation, it was not necessary to obtain the approval of an ethics committee. The Spanish legislation says, “All studies of observational type must be submitted for evaluation of a Clinical Research Ethics Committee, with the exception of those studies that are conducted using existing information that does not include personal data.”15 The EHSSs used in our investigation are free and public access data that have no personal data of the subjects interviewed, which makes it impossible to identify them. These databases can be downloaded freely from the Spanish National Statistics Institute.16

Results

The prevalence of COPD among subjects aged 40 years or over was 7.59% (n=1,328/17,489) for the EHSS 2009 and 5.38% (n=1,008/18,724) for the EHSS 2014 (p<0.01). The distribution of the study populations according to demographic and socioeconomic variables, health status, lifestyles and healthcare resource use are shown in Table S1. In general, COPD Spanish subjects were older, had improved their educational level and had significantly lower monthly income over the previous 5 years. The self-rated health status and the frequency of mental disorders did not change in that period; however, COPD subjects reported more pain in the last survey (66.06% in 2009 vs 76.06% in 2014; p<0.001). In 2014, COPD sufferers also showed significantly higher figures of alcohol consumption and tobacco use. Regarding the use of healthcare resources, the visits to the GP did not change from 2009 to 2014 (56.33% vs 56.04%; p=0.888); however, the prevalence of non-GP service use in the previous 4 weeks increased over time (30.6% in 2009 vs 39.11% in 2014; p<0.001). No changes were found for hospitalizations (22.95% vs 24.77%; p=0.317) or home care services (16.1% vs 18.47%; p=0.140). Table 1 shows the distribution of hospital admissions in COPD subjects according to demographic and socioeconomic variables, health status and lifestyles. In both surveys, we found that subjects (men and women) with fair/poor/very poor self-rated health and any chronic comorbidity had significantly higher frequency of hospitalization. In 2009, the hospitalizations were higher in men. They were also significantly more frequent in older age and in subjects with mental disorders, pain in the last 4 weeks, not practitioners of physical exercise, ex-smokers, and non-alcohol consumers. In 2014, hospitalizations were also higher in older age, but no significant differences were found between genders. On the other hand, the prevalence of hospitalizations did not change significantly over the study period in men or women. Table 2 shows the distribution of GP visits in the last 4 weeks among COPD subjects. In both surveys, we found that subjects, men and women, with fair/poor/very poor self-rated health, and any chronic comorbidity and pain in the last 4 weeks, had significantly higher frequencies of GP visits. In 2009, GP visits were higher in older age and in women. In men, they were significantly more frequent in subjects with lower educational levels, living with a partner and with no alcohol consumption, while in women, they were also higher in those with lower monthly incomes, mental disorders and no practice of physical exercise. In 2014, GP visits were more frequent in older age and in subjects with high blood pressure and with no alcohol consumption in both genders. When we compared men and women, no significant differences were found in the use of GP visits from 2009 to 2014.
Table 2

Distribution of general practitioner visit in COPD subjects according to demographic and socioeconomic variables, health status, and lifestyles in the EHSS, 2009 and 2014

Variables2009
2014
Men, n (%)Women, n (%)Men, n (%)Women, n (%)
Age groupsA,B,C,D
 40–54 yearsa34 (29.31)60 (44.44)30 (42.25)35 (44.87)
 55–69 yearsb92 (50.83)119 (57.21)69 (50.36)101 (61.59)
 70 years or over185 (62.08)217 (68.45)159 (60.69)149 (57.98)
Educational levelA,B,C
 No formal study/primarya238 (56.53)311 (64.79)179 (59.67)202 (58.89)
 Secondary47 (44.34)66 (48.53)48 (44.44)58 (56.86)
 Higher educationd26 (38.24)19 (43.18)31 (50)25 (46.3)
Monthly incomeB,D
 <850 Euros85 (53.46)142 (62.83)99 (59.28)133 (63.03)
 850–1,400 Euros96 (58.54)105 (64.81)63 (64.29)57 (62.64)
 >1,400 Euros94 (47.24)98 (52.97)70 (51.09)49 (43.75)
Living with partnerA
 Yes228 (55.07)192 (61.34)180 (55.05)118 (57)
 Noa83 (45.86)204 (58.79)78 (54.55)167 (57.19)
Self-rated healthA,B,C,D
 Very good/good63 (36.21)54 (35.53)58 (43.61)44 (40)
 Fair/poor/very poora248 (58.91)342 (67.32)200 (59.35)241 (61.95)
Any chronic comorbidityA,B,C,D
 No100 (40.82)120 (48)72 (45.28)87 (48.33)
 Yesa211 (60.29)276 (67.32)186 (59.81)198 (62.07)
High blood pressureA,B,C,D
 Noa139 (43.17)181 (53.55)119 (47.6)124 (50.61)
 Yes172 (63)215 (66.77)139 (63.18)161 (63.39)
Mental disorderB,D
 No258 (50.79)216 (52.55)211 (54.1)154 (52.2)
 Yesa53 (60.92)180 (72.29)47 (58.75)131 (64.22)
PainA,B,C,D
 No106 (39.7)64 (40.25)69 (44.23)27 (35.53)
 Yes205 (62.5)332 (66.27)189 (60.19)258 (60.99)
Body mass index
 <25 kg/m286 (57.33)101 (57.71)65 (46.43)74 (54.41)
 25–30 kg/m2,a125 (50.61)118 (61.14)116 (59.49)95 (57.93)
 ≥30 kg/m2,a75 (50.68)112 (61.54)67 (56.78)90 (61.64)
Physical exerciseB,C
 0–3 days per week121 (56.81)202 (64.74)128 (60.95)142 (59.66)
 4–7 days per week190 (49.74)194 (55.75)130 (50)143 (54.79)
Tobacco useB
 Current smoker77 (46.67)51 (54.26)58 (48.33)38 (47.5)
 Ex-smokerc147 (54.24)39 (47.56)167 (58.39)50 (62.5)
 Never smoker54 (53.47)270 (62.36)32 (50.79)197 (58.11)
Alcohol consumptionA,B,C,D
 No177 (59)342 (62.07)142 (66.36)231 (61.27)
 Yes134 (45.42)54 (49.54)116 (45.31)54 (44.26)
Totala311 (52.27)396 (60)258 (54.89)285 (57.11)

Notes:

Significant differences (p<0.05) between the variable and general practitioner visit among COPD men in 2009.

Significant differences (p<0.05) between the variable and general practitioner visit among COPD women in 2009.

Significant differences (p<0.05) between the variable and general practitioner visit among COPD men in 2014.

Significant differences (p<0.05) between the variable and general practitioner visit among COPD women in 2014.

Significant differences (p<0.05) between COPD men and COPD women for general practitioner visit in 2009.

Significant differences (p<0.05) between COPD men and COPD women for general practitioner visit in 2014.

Significant differences (p<0.05) between general practitioner visit in COPD women in 2009 and general practitioner visit in COPD women in 2014.

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table 3 shows the distribution of non-GP service use in COPD subjects. In both surveys, we found that men and women with mental disorders had significantly higher frequency of use. In 2009, non-GP service use in men was significantly more frequent in subjects with high blood pressure or any chronic comorbidity and in those with pain in the previous 4 weeks, while in women, the use was higher in younger age and in subjects with higher levels of education or monthly income, fair/poor/very poor self-rated health and pain in the last 4 weeks. In 2014, non-GP service use in men was higher in subjects with fair/poor/very poor self-rated health, pain, and no practice of physical exercise, while it was significantly more frequent in those with any chronic comorbidity. When comparing the results between men and women with COPD in 2009, we found that, overall, women significantly used more non-GP services than men (35.15% vs 25.55%). On the other hand, we observed that the prevalence of non-GP service use was significantly increased in men and women with COPD between 2009 and 2014 (25.55% vs 36.17% and 35.15% vs 42.88%, respectively).
Table 3

Distribution of non-general practitioner services use in COPD subjects according to demographic and socioeconomic variables, health status, and lifestyles in the EHSS, 2009 and 2014

Variables2009
2014
Men, n (%)Women, n (%)Men, n (%)Women, n (%)
Age groupsB
 40–54 years34 (29.31)55 (40.74)28 (39.44)36 (46.15)
 55–69 yearsa,b53 (29.28)81 (38.94)43 (31.39)75 (45.73)
 70 years or overa,c,d,º65 (21.81)96 (30.28)99 (37.79)98 (38.13)
Educational levelB
 No formal study/primarya,c,d103 (24.47)153 (31.88)111 (37)134 (39.07)
 Secondarya,b29 (27.36)59 (43.38)35 (32.41)49 (48.04)
 Higher education20 (29.41)20 (45.45)24 (38.71)26 (48.15)
Monthly incomeB
 <850 Eurosa,c,d32 (20.13)67 (29.65)61 (36.53)91 (43.13)
 850–1,400 Euros45 (27.44)55 (33.95)30 (30.61)39 (42.86)
 >1,400 Eurosa58 (29.15)77 (41.62)52 (37.96)44 (39.29)
Living with partner
 Yesa,c112 (27.05)117 (37.38)121 (37)88 (42.51)
 Noa,c,d40 (22.1)115 (33.14)49 (34.27)121 (41.44)
Self-rated healthB,C
 Very good/goodd36 (20.69)39 (25.66)36 (27.07)41 (37.27)
 Fair/poor/very poora,c116 (27.55)193 (37.99)134 (39.76)168 (43.19)
Any chronic comorbidityA,D
 Noa,c50 (20.41)83 (33.2)51 (32.08)65 (36.11)
 Yesa,c,d102 (29.14)149 (36.34)119 (38.26)144 (45.14)
High blood pressureA
 Noa,c70 (21.74)127 (37.57)83 (33.2)95 (38.78)
 Yesc,d82 (30.04)105 (32.61)87 (39.55)114 (44.88)
Mental disorderA,B,C,D
 Noc118 (23.23)116 (28.22)125 (32.05)102 (34.58)
 Yesc34 (39.08)116 (46.59)45 (56.25)107 (52.45)
PainA,B,C
 Noc,d51 (19.1)32 (20.13)45 (28.85)27 (35.53)
 Yesa,c101 (30.79)200 (39.92)125 (39.81)182 (43.03)
Body mass indexB
 <25 kg/m238 (25.33)57 (32.57)46 (32.86)57 (41.91)
 25–30 kg/m2,c,d66 (26.72)62 (32.12)73 (37.44)71 (43.29)
 ≥30 kg/m2,a,b42 (28.38)79 (43.41)40 (33.9)68 (46.58)
Physical exerciseC
 0–3 days per weekc,d59 (27.7)105 (33.65)87 (41.43)103 (43.28)
 4–7 days per weeka,b,c93 (24.35)127 (36.49)83 (31.92)106 (40.61)
Tobacco useB,C
 Current smokera,b37 (22.42)44 (46.81)32 (26.67)37 (46.25)
 Ex-smokerb,c,d78 (28.78)26 (31.71)112 (39.16)41 (51.25)
 Never smoker30 (29.7)146 (33.72)26 (41.27)131 (38.64)
Alcohol consumptionC
 Noa,c,d77 (25.67)189 (34.3)93 (43.46)166 (44.03)
 Yesa75 (25.42)43 (39.45)77 (30.08)43 (35.25)
Totala,c,d152 (25.55)232 (35.15)170 (36.17)209 (41.88)

Notes:

Significant differences (p<0.05) between the variable and non-general practitioner services use among COPD men in 2009.

Significant differences (p<0.05) between the variable and non-general practitioner services use among COPD women in 2009.

Significant differences (p<0.05) between the variable and non-general practitioner services use among COPD men in 2014.

Significant differences (p<0.05) between the variable and non-general practitioner services use among COPD women in 2014.

Significant differences (p<0.05) between COPD men and COPD women for non-general practitioner services use in 2009.

Significant differences (p<0.05) between COPD men and COPD women for non-general practitioner services use in 2014.

Significant differences (p<0.05) between non-general practitioner services use in COPD men in 2009 and non-general practitioner services use in COPD men in 2014.

Significant differences (p<0.05) between non-general practitioner services use in COPD women in 2009 and non-general practitioner services use in COPD women in 2014.

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table 4 shows the distribution of home care service use in the last year among COPD subjects. In both surveys and for both sexes, we found that subjects with older age, lower educational levels, fair/poor/very poor self-rated health, any chronic comorbidity, pain and no practice physical activity in their free time had significantly higher frequency of use. When comparing the overall results between men and women with COPD in both surveys, we found that women significantly used more home care services than men (19.7% vs 12.1% in 2009 and 21.64% vs 15.11% in 2014). We observed that the prevalence of home care service use remained unchanged over the study period.
Table 4

Distribution of home care services use in COPD subjects according to demographic and socioeconomic variables, health status and lifestyles in the EHSS, 2009 and 2014

Variables2009
2014
Men, n (%)Women, n (%)Men, n (%)Women, n (%)
Age groupsA,B,C,D
 40–54 yearsa2 (1.72)10 (7.41)4 (5.63)3 (3.85)
 55–69 yearsd8 (4.42)10 (4.81)11 (8.03)17 (10.37)
 70 years or overa,b62 (20.81)110 (34.7)56 (21.37)88 (34.24)
Educational levelA,B,C,D
 No formal study/primarya,b61 (14.49)114 (23.75)57 (19)97 (28.28)
 Secondary8 (7.55)11 (8.09)8 (7.41)10 (9.8)
 Higher education3 (4.41)5 (11.36)6 (9.68)1 (1.85)
Monthly incomeA,B,D
 <850 Euros24 (15.09)63 (27.88)34 (20.36)69 (32.7)
 850–1,400 Euros29 (17.68)29 (17.9)14 (14.29)16 (17.58)
 >1,400 Eurosa14 (7.04)26 (14.05)17 (12.41)9 (8.04)
Living with partnerA,B,D
 Yesc41 (9.9)41 (13.1)50 (15.29)25 (12.08)
 Noa,b31 (17.13)89 (25.65)21 (14.69)83 (28.42)
Self-rated healthA,B,C,D
 Very good/gooda4 (2.3)11 (7.24)6 (4.51)8 (7.27)
 Fair/poor/very poora,b68 (16.15)119 (23.43)65 (19.29)100 (25.71)
Any chronic comorbidityA,B,C,D
 Noa12 (4.9)30 (12)15 (9.43)27 (15)
 Yesa,b60 (17.14)100 (24.39)56 (18.01)81 (25.39)
High blood pressureA,B,C
 Noc30 (9.32)38 (11.24)39 (15.6)36 (14.69)
 Yesa,b42 (15.38)92 (28.57)32 (14.55)72 (28.35)
Mental disorderA,B,C
 Noa54 (10.63)70 (17.03)53 (13.59)56 (18.98)
 Yes18 (20.69)60 (24.1)18 (22.5)52 (25.49)
PainA,B,C,D
 No18 (6.74)19 (11.95)15 (9.62)6 (7.89)
 Yesa,b54 (16.46)111 (22.16)56 (17.83)102 (24.11)
Body mass index
 <25 kg/m223 (15.33)27 (15.43)26 (18.57)26 (19.12)
 25–30 kg/m2,a23 (9.31)30 (15.54)22 (11.28)26 (15.85)
 ≥30 kg/m2,a,b13 (8.78)41 (22.53)15 (12.71)39 (26.71)
Physical exerciseA,B,C,D
 0–3 days per week50 (23.47)90 (28.85)52 (24.76)76 (31.93)
 4–7 days per weeka22 (5.76)40 (11.49)19 (7.31)32 (12.26)
Tobacco useA,B,C,D
 Current smoker6 (3.64)6 (6.38)7 (5.83)8 (10)
 Ex-smoker40 (14.76)12 (14.63)56 (19.58)14 (17.5)
 Never smokera,b8 (7.92)91 (21.02)8 (12.7)86 (25.37)
Alcohol consumptionA,B,C,D
 No57 (19)122 (22.14)45 (21.03)92 (24.4)
 Yesc15 (5.08)8 (7.34)26 (10.16)16 (13.11)
Totala,b72 (12.1)130 (19.7)71 (15.11)108 (21.64)

Notes:

Significant differences (p<0.05) between the variable and home care services use among COPD men in 2009.

Significant differences (p<0.05) between the variable and home care services use among COPD women in 2009.

Significant differences (p<0.05) between the variable and home care services use among COPD men in 2014.

Significant differences (p<0.05) between the variable and home care services use among COPD women in 2014.

Significant differences (p<0.05) between COPD men and COPD women for home care services use in 2009.

Significant differences (p<0.05) between COPD men and COPD women for home care services use in 2014.

Significant differences (p<0.05) between home care services use in COPD men in 2009 and home care services use in COPD men in 2014.

Significant differences (p<0.05) between home care services use in COPD women in 2009 and home care services use in COPD women in 2014.

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table 5 shows the results of the multivariable logistic regression models conducted to identify those variables that were significantly associated with a higher use of health and home care services among COPD subjects included in the two EHSS together. The presence of any chronic comorbidity was associated with a higher use of all the services analyzed (OR 1.79, 95% CI 1.41–2.64 for hospitalizations; OR 1.32, 95% CI 1.06–1.65 for GP visits; OR 1.29, 95% CI 1.04–1.59 for non-GP service use; and OR 1.74, 95% CI 1.22–2.46 for home care service use). High blood pressure was also associated with a higher probability of GP visits (OR 1.56, 95% CI 1.25–1.93). Worse self-rated health was associated a higher probability of hospitalizations (OR 2.68, 95% CI 1.96–3.67), GP visits (OR 1.40, 95% CI 1.08–1.82) and home care service use (OR 2.55, 95% CI 1.52–4.28). The highest OR was found in those elderly COPD subjects (70 years or over) who had a 2.02 greater probability of hospitalization, 1.94 greater probability of a GP visit and a 5.66 greater probability of using home care services than younger patients. The presence of pain increased the probability of visiting the GP as occurred with the presence of mental disorders.
Table 5

Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2009 and 2014

VariablesHospitalization, OR (95% CI)General practitioner visit, OR (95% CI)Non-general practitioner services use, OR (95% CI)Home care services use, OR (95% CI)
Gender
 Men1111
 Women0.72 (0.58–0.89)0.96 (0.76–1.21)1.11 (0.91–1.37)1.14 (0.82–1.59)
Age groups
 40–54 years1111
 55–69 years1.30 (0.91–1.87)1.47 (1.08–1.99)0.74 (0.55–0.98)1.32 (0.67–2.58)
 70 years or over2.02 (1.45–2.83)1.94 (1.44–2.62)0.67 (0.50–0.88)5.66 (3.08–10.39)
Monthly income
 <850 Euros111
 850–1,400 Euros1.20 (0.92–1.57)1.12 (0.88–1.44)0.87 (0.61–1.24)
 >1,400 Euros0.77 (0.59–0.98)1.35 (1.06–1.71)0.64 (0.44–0.93)
Living with partner
 Yes11
 No0.73 (0.58–0.92)1.36 (1.02–1.86)
Self-rated health
 Very good/good111
 Fair/poor/very poor2.68 (1.96–3.67)1.40 (1.08–1.82)2.55 (1.52–4.28)
Any chronic comorbidity
 No1111
 Yes1.79 (1.41–2.64)1.32 (1.06–1.65)1.29 (1.04–1.59)1.74 (1.22–2.46)
Mental disorder
 No1111
 Yes1.25 (0.98–1.58)1.32 (1.02–1.70)1.93 (1.54–2.41)1.75 (1.27–2.42)
High blood pressure
 No1
 Yes1.56 (1.25–1.93)
Pain
 No11
 Yes1.87 (1.47–2.38)1.73 (1.36–2.20)
Body mass index
 <25 kg/m211
 25–30 kg/m20.97 (0.76–1.25)0.63 (0.44–0.89)
 ≥30 kg/m20.72 (0.55–0.96)0.66 (0.46–0.96)
Physical exercise
 0–3 days per week11
 4–7 days per week0.72 (0.59–0.89)0.37 (0.27–0.50)
Alcohol consumption
 No11
 Yes0.68 (0.54–0.86)0.53 (0.36–0.77)
EHSS
 20091
 20141.01 (0.96–1.04)0.98 (0.94–1.02)1.41 (1.16–1.72)1.01 (0.82–1.59)

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

On the other hand, female sex decreased the probability of hospitalization (OR 0.72, 95% CI 0.58–0.89). COPD subjects who lived with a parent had a lower probability of a GP visit (OR 0.73, 95% CI 0.58–0.92), and those who practiced more physical exercise had a lower probability of hospitalization (OR 0.72, 95% CI 0.59–0.89). Further, higher monthly income was associated with a lower probability of a GP visit or home care service use, as occurred with the higher body mass index and alcohol consumption. The time trend analysis showed that non-GP service use increased from 2009 to 2014. However, we did not find significant variations for hospitalization, GP visits and home care service use. Tables S2 and S3 show the variables that were significantly associated with a higher use of health and home care services among COPD subjects in the EHSS 2009 (Table S2) and in the EHSS 2014 (Table S3) after multivariable analysis. The variables found in each of the two EHSSs separately were very similar to those described in the model conducted with both surveys together. The results of the sensitivity analysis are shown in Table S4. The model conducted, excluding the variable “monthly income”, yielded the same time trend results as the model with this variable included; that is, a significant increase in the use of non-GP services with no significant changes for the other three study variables.

Discussion

In this study, using cross-sectional data, we found that the utilization of non-GP services that included nursing, rehabilitation, and psychological services, increased significantly among the Spanish COPD population from 2009 to 2014. Variables associated with the use of these services were female sex, younger age, higher monthly income, pain sufferer or any chronic comorbidity and the presence of mental disorders. However, we did not find variations in other health-care service use, such as hospitalizations, GP visits, and home care services over time. A possible explanation for these findings is the impact of the economic crisis on the health of the population.17,18 Gili et al19 indicated that the recession has significantly increased the frequency of mental health disorders among primary care attendees in Spain, which could explain the higher use of psychological services among COPD patients. On the other hand, Regidor et al20 also attempted to identify any changes in health indicators during the financial crisis and concluded that Spanish health actually improved at a rate equal to or higher than what had occurred in the years prior to recession. In spite of this, in our study, we observed an increase in the consumption of tobacco and alcohol during the economic crisis. Other authors also suggested that when financial pressures increase, the risks of heavy drinking and smoking are also likely to increase.21 We also documented that female sex was associated with a lower probability of hospitalization. Other authors have found similar findings.22,23 These results may suggest a difference between genders in the management of COPD, as has been previously described.24 By contrast, variables associated with a higher risk of hospitalization in our study included older age, suffering of any chronic comorbidity and the presence of mental disorders. Singh and Yu25 also found that older age and the presence of comorbidities were associated with hospital admission in COPD patients, together with others factors such as higher household income and metropolitan residence. Although previous studies have focused on pulmonary function status and COPD medication as predictors of health resource utilization, they did not examine socio-demographic factors and comorbidities, as we have done.26,27 The health status of patients with COPD is worse than in the general population.7 There is evidence that self-perceived health is a valid measure predicting unfavorable health outcomes and healthcare utilization and a goal for effective self-management.28,29 Our findings confirmed that worse self-reported health was a predictor of higher use of hospitalizations, GP visits and home care service use among COPD sufferers. Nevertheless, self-rated health did not change significantly from 2009 to 2014. Other studies have also found that the financial crisis has not altered the likelihood of reporting poor self-perceived health.30 The association of higher monthly income with a higher risk of non-GP service use is interesting and extends a similar finding from other authors, who have suggested that monthly income reflects education levels or health literature levels, both of which might affect the healthcare resource use.25 We believe, like others, that the changes in the perception of health that have occurred in our society, with an increase in expectations and changes in attitudes in relation to health, have led to a greater use of nurse care, rehabilitation and psychological services.31,32 Comorbidities occur more commonly among people with COPD than in the general population and are associated with reduced quality of life and increased health resource use.33,34 Our study is consistent with other reports documenting the burden of comorbid disorders among COPD patients.35 The presence of any chronic comorbidity was a strong predictor of health service utilization, including hospitalizations, GP visits, non-GP service use and home care service utilization. Mental disorder was also a predictor of higher use of GP visits and home care services. Therefore, the recognition of mental health problems associated with COPD should be an important part of the management plan of this disease, as a potentially modifiable target to reduce healthcare resource utilization.36 On the other hand, pain is emerging as a clinical complication in COPD. It has negative clinical associations with symptoms and quality of life measures.37 However, the impact of this comorbidity on the use of health services is poorly understood. Our study demonstrated that the presence of pain was associated with a higher probability of GP visits and non-GP service utilization. Physical activity is a modifiable behavior that is associated with COPD outcomes. The Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease 2017 Report guidelines recommend regular physical activity for patients with stable COPD.38 Higher levels of physical activity are associated with decreased risk of hospitalizations and mortality, independent of airflow obstruction.39 In the present study, physical activity was associated not only with lower use of hospitals but also with home care services among COPD patients. This finding is consistent with that found by Perkins and Clark, who evaluated the association between self-reported exercise and health service use in order adults with multiple comorbidities.40 The strengths of our study include large sample sizes, a randomly selected population, the employment of standardized surveys, and training of the data collectors. However, several limitations should be noted. First, our definition of COPD was based on self-reported physician diagnoses of the disease, and the validity of the self-reported conditions included in the EHSS have not been evaluated. However, the approach used in this study to identify COPD patients has been widely used in large international surveys and has proven to be reasonably reliable.41,42 Second, we have no information about the severity of the airflow obstruction. Third, data collections in the EHSS did not include detailed assessment of COPD medications, which would have provided additional insights. Fourth, information on the validity of the questions regarding the use of health and home care services has not been evaluated. In any case, we think that the memory bias or the socially conditioned answers that could affect the validity of these questions is similar in both surveys and, therefore, would not affect the main conclusion regarding the time trend analysis. Finally, the response rates for the EHSS 2009 and 2014 were approximately 65% and 61%, respectively, so the existence of a selection bias must be considered.11,12

Conclusion

We found an increase in the use of non-GP service use (nursing, rehabilitation, and psychological) but not in other health and home care services. The only differences in hospitalizations were observed according to sex, with lower use among women. Therefore, the effect of the economic crisis, if any, seems to have been of small magnitude. More research is necessary to assess the effect of health policy responses to the crisis after 2014. Distribution of the study populations (COPD sufferers) according to demographic and socioeconomic variables, health status, lifestyles, and health care resources use in the EHSS, 2009 and 2014 Notes: Non-general practitioner services use included utilization of nurse care services/rehabilitative care services/psychological care services. Any chronic comorbidity included asthma, coronary disease, myocardial infarction, angina, cerebral infarction, cerebral hemorrhage, cerebral embolism and cancer. Mental disorder included anxiety and depression. Physical exercise: days per week walking for at least 10 minutes. Alcohol consumption: if the subject has consumed alcohol twice or more times a month over the last year. Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain. Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2009 Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain. Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2014 Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain. Sensitivity analysis. Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2009 and 2014 excluding monthly income Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.
Table S1

Distribution of the study populations (COPD sufferers) according to demographic and socioeconomic variables, health status, lifestyles, and health care resources use in the EHSS, 2009 and 2014

VariablesEHSS 2009EHSS 2014p-value
Gender0.609
 Men595 (47.41)470 (48.5)
 Women660 (52.59)499 (51.5)
Age groups0.013
 40–54 years251 (20)149 (15.38)
 55–69 years389 (31)301 (31.06)
 70 years or over615 (49)519 (53.56)
Educational level0.012
 No studies/primary901 (71.79)643 (66.36)
 Secondary242 (19.28)210 (21.67)
 High education112 (8.92)116 (11.97)
Monthly income0.000
 <850 Euros385 (35.16)378 (46.32)
 850–1,400 Euros326 (29.77)189 (23.16)
 >1,400 Euros384 (35.07)249 (30.51)
Living with partner0.183
 Yes727 (57.93)534 (55.11)
 No528 (42.07)435 (44.89)
Self-rated health0.630
 Very good/good326 (25.98)243 (25.08)
 Fair/poor/very poor929 (74.02)726 (74.92)
Any chronic comorbiditya0.031
 No495 (39.44)339 (34.98)
 Yes760 (60.56)630 (65.02)
High blood pressure0.481
 No660 (52.59)495 (51.08)
 Yes595 (47.41)474 (48.92)
Mental disorderb0.186
 No919 (73.23)685 (70.69)
 Yes336 (26.77)284 (29.31)
Pain0.000
 No426 (33.94)232 (23.94)
 Yes829 (66.06)737 (76.06)
Body mass index0.871
 <25 kg/m2325 (29.68)276 (30.7)
 25–30 kg/m2440 (40.18)359 (39.93)
 ≥30 kg/m2330 (30.14)264 (29.37)
Physical exercisec0.038
 0–3 days per week525 (41.83)448 (46.23)
 4–7 days per week730 (58.17)521 (53.77)
Tobacco use0.003
 Current smoker259 (22.6)200 (20.66)
 Ex-smoker353 (30.8)366 (37.81)
 Never smoker534 (46.6)402 (41.53)
Alcohol consumptiond0.001
 No851 (67.81)591 (60.99)
 Yes404 (32.19)378 (39.01)
Hospitalization0.317
 No967 (77.05)729 (75.23)
 Yes288 (22.95)240 (24.77)
General practitioner visit0.888
 No548 (43.67)426 (43.96)
 Yes707 (56.33)543 (56.04)
Home care services use0.140
 No1,053 (83.9)790 (81.53)
 Yes202 (16.1)179 (18.47)
Non-general practitioner service use0.000
 No871 (69.4)590 (60.89)
 Yes384 (30.6)379 (39.11)

Notes: Non-general practitioner services use included utilization of nurse care services/rehabilitative care services/psychological care services.

Any chronic comorbidity included asthma, coronary disease, myocardial infarction, angina, cerebral infarction, cerebral hemorrhage, cerebral embolism and cancer.

Mental disorder included anxiety and depression.

Physical exercise: days per week walking for at least 10 minutes.

Alcohol consumption: if the subject has consumed alcohol twice or more times a month over the last year.

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table S2

Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2009

VariablesHospitalization, OR (95% CI)General practitioner visit, OR (95% CI)Non-general practitioner services use, OR (95% CI)Home care services use, OR (95% CI)
Gender
 Men1111
 Women0.67 (0.42–1.07)1.05 (0.72–1.52)0.99 (0.75–1.46)1.44 (0.75–5.76)
Age groups
 40–54 years1111
 55–69 years1.08 (0.60–1.65)1.70 (1.09–2.65)0.84 (0.54–1.31)0.81 (0.30–2.17)
 70 years or over1.95 (1.08–3.53)3.18 (1.98–5.11)0.68 (0.42–1.09)4.02 (1.59–10.20)
Monthly income
 <850 Euros11
 850–1,400 Euros1.40 (0.94–2.08)1.22 (0.77–2.07)
 >1,400 Euros1.55 (1.03–2.31)0.94 (0.49–1.65)
Living with partner
 Yes11
 No0.65 (0.47–0.90)1.82 (1.12–2.97)
Self-rated health
 Very good/good111
 Fair/poor/very poor2.85 (1.62–5.02)1.56 (1.08–1.82)2.72 (1.13–6.56)
Any chronic comorbidity
 No111
 Yes1.62 (1.10–2.36)1.52 (1.12–2.07)2.57 (1.48–4.43)
Mental disorder
 No111.82 (1.28–2.59)1
 Yes1.92 (1.24–2.88)1.49 (1.03–2.17)1.93 (1.17–3.19)
High blood pressure
 No1
 Yes1.40 (1.03–1.94)
Pain
 No11
 Yes2.13 (1.52–2.97)2.07 (1.43–2.99)
Body mass index
 <25 kg/m21
 25–30 kg/m20.77 (0.54–1.11)
 ≥30 kg/m20.62 (0.41–0.92)
Physical exercise
 0–3 days per week1
 4–7 days per week0.42 (0.26–0.66)
Alcohol consumption
 No1
 Yes0.36 (0.19–0.677)

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table S3

Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2014

VariablesHospitalization, OR (95% CI)General practitioner visit, OR (95% CI)Non-general practitioner services use, OR (95% CI)Home care services use, OR (95% CI)
Gender
 Men1111
 Women1.21 (0.74–0.95)0.82 (0.54–1.22)1.32 (0.89–1.97)1.44 (0.75–2.69)
Age groups
 40–54 years1111
 55–69 years1.91 (0.98–3,075)1.47 (0.88–2.41)0.79 (0.48–1.32)1.37 (0.47–4.04)
 70 years or over2.71 (1.34–5.50)1.48 (0.86–2.54)0.84 (0.49–1.44)4.25 (1.47–12.31)
Monthly income
 <850 Euros11
 850–1,400 Euros1.22 (0.81–1.83)0.60 (0.35–1.03)
 >1,400 Euros0.58 (0.39–0.87)0.47 (0.26–0.88)
Living with partner
 Yes
 No
Self-rated health
 Very good/good11
 Fair/poor/very poor2.75 (1.58–4.79)2.48 (1.18–5.21)
Any chronic comorbidity
 No1
 Yes1.70 (1.12–2.58)
Mental disorder
 No1
 Yes1.95 (1.36–2.80)
High blood pressure
 No1
 Yes1.69 (1.23–2.33)
Pain
 No1
 Yes1.58 (1.07–2.32)
Body mass index
 <25 kg/m21
 25–30 kg/m2
 ≥30 kg/m2
Physical exercise
 0–3 days per week11
 4–7 days per week0.61 (0.42–0.86)0.37 (0.25–0.57)
Alcohol consumption
 No1
 Yes0.54 (0.38–0.77)

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

Table S4

Sensitivity analysis. Multivariable model to assess variables associated to health and home care services use among Spanish COPD subjects included in the EHSS 2009 and 2014 excluding monthly income

VariablesHospitalization, OR (95% CI)General practitioner visit, OR (95% CI)Non-general practitioner services use, OR (95% CI)Home care services use, OR (95% CI)
Gender
 Men1111
 Women0.85 (0.61–1.13)0.96 (0.75–1.24)1.13 (0.88–1.46)1.45 (0.96–2.21)
Age groups
 40–54 years1111
 55–69 years1.35 (0.90–2.01)1.55 (1.15–2.08)0.85 (0.63–1.16)0.99 (0.48–1.77)
 70 years or over1.99 (1.32–3.00)2.04 (1.48–2.79)0.72 (0.52–0.99)3.46 (1.08–6.45)
Living with partner
 Yes11
 No0.79 (0.64–0.97)1.55 (1.15–2.10)
Self-rated health
 Very good/good111
 Fair/poor/very poor2.71 (1.89–3.89)1.41 (1.10–1.81)2.21 (1.34–3.66)
Any chronic comorbidity
 No1111
 Yes1.75 (1.35–2.27)1.39 (1.14–1.72)1.19 (1.01–1.49)1.73 (1.23–2.43)
Mental disorder
 No1111
 Yes1.26 (0.97–1.64)1.34 (1.05–1.71)1.97 (1.57–2.49)1.60 (1.16–2.21)
High blood pressure
 No1
 Yes1.57 (1.28–1.92)
Pain
 No11
 Yes1.90 (1.51–2.39)1.58 (1.24–2.02)
Body mass index
 <25 kg/m21
 25–30 kg/m21.06 (0.84–1.34)
 ≥30 kg/m20.83 (0.62–0.99)
Physical exercise
 0–3 days per week11
 4–7 days per week0.78 (0.62–0.98)0.44 (0.30–0.55)
Alcohol consumption
 No11
 Yes0.68 (0.54–0.84)0.62 (0.44–0.89)
EHSS
 20091111
 20141.04 (0.82–1.31)0.87 (0.72–1.07)1.29 (1.05–1.57)1.15 (0.86–1.53)

Abbreviations: COPD, chronic obstructive pulmonary disease; EHSS, European Health Interview Surveys for Spain.

  37 in total

1.  Assessing the association of walking with health services use and costs among socioeconomically disadvantaged older adults.

Authors:  A J Perkins; D O Clark
Journal:  Prev Med       Date:  2001-06       Impact factor: 4.018

2.  Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population based cohort study.

Authors:  J Garcia-Aymerich; P Lange; M Benet; P Schnohr; J M Antó
Journal:  Thorax       Date:  2006-05-31       Impact factor: 9.139

3.  Hospital admissions for chronic obstructive pulmonary disease in New Zealand.

Authors:  Richard J Milne; Richard Beasley
Journal:  N Z Med J       Date:  2015-01-30

4.  Quantifying comorbidity in individuals with COPD: a population study.

Authors:  Andrea S Gershon; Graham C Mecredy; Jun Guan; J Charles Victor; Roger Goldstein; Teresa To
Journal:  Eur Respir J       Date:  2014-08-19       Impact factor: 16.671

5.  Treat the Brain to Improve the Lungs?: Mental Illness as a Risk Factor for Readmission in COPD.

Authors:  Abebaw Mengistu Yohannes; Iracema Leroi
Journal:  Chest       Date:  2016-04       Impact factor: 9.410

6.  [Primary care consultations: are they all by the doctor?].

Authors:  Jesús Millas Ros; Antxon Otegui Recio; Sofía Perez Gil; María Jesús Arzuaga Arambarri; José Manuel Martinez Eizaguirre; Maria Jesús Insausti Carretero
Journal:  Aten Primaria       Date:  2011-03-05       Impact factor: 1.137

Review 7.  Co-morbidities of COPD in primary care: frequency, relation to COPD, and treatment consequences.

Authors:  Thys van der Molen
Journal:  Prim Care Respir J       Date:  2010-12

8.  The influence of co-morbidity on health-related quality of life in asthma and COPD patients.

Authors:  H A H Wijnhoven; D M W Kriegsman; A E Hesselink; M de Haan; F G Schellevis
Journal:  Respir Med       Date:  2003-05       Impact factor: 3.415

9.  The prevalence of clinically-relevant comorbid conditions in patients with physician-diagnosed COPD: a cross-sectional study using data from NHANES 1999-2008.

Authors:  Kerry Schnell; Carlos O Weiss; Todd Lee; Jerry A Krishnan; Bruce Leff; Jennifer L Wolff; Cynthia Boyd
Journal:  BMC Pulm Med       Date:  2012-07-09       Impact factor: 3.317

10.  How the economic recession has changed the likelihood of reporting poor self-rated health in Spain.

Authors:  Elena Arroyo; Gemma Renart; Marc Saez
Journal:  Int J Equity Health       Date:  2015-12-18
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1.  Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study.

Authors:  Juan Luis Rodriguez Hermosa; Antonia Fuster Gomila; Luis Puente Maestu; Carlos Antonio Amado Diago; Francisco Javier Callejas González; Rosa Malo De Molina Ruiz; Manuel E Fuentes Ferrer; Jose Luis Álvarez Sala-Walther; Myriam Calle Rubio
Journal:  JMIR Mhealth Uhealth       Date:  2020-03-19       Impact factor: 4.773

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