Literature DB >> 28096665

Gender differences in partners of patients with COPD and their perceptions about the patients.

Nienke Nakken1, Daisy Ja Janssen2, Monique van Vliet3, Geeuwke J de Vries4, Giny Al Clappers-Gielen5, Arent Jan Michels6, Jean Wm Muris7, Jan H Vercoulen8, Emiel Fm Wouters9, Martijn A Spruit1.   

Abstract

BACKGROUND/
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) not only affects patients but also their partners. Gender-related differences in patients with COPD are known, for instance regarding symptoms and quality of life. Yet, research regarding gender differences in partners of patients with COPD has been conducted to a lesser extent, and most research focused on female partners. We aimed to investigate differences between male and female partners of patients with COPD regarding their own characteristics and their perceptions of patients' characteristics.
DESIGN: Cross-sectional study.
SETTING: Four hospitals in the Netherlands. PARTICIPANTS: One hundred and eighty-eight patient-partner couples were included in this cross-sectional study. MEASUREMENTS: General and clinical characteristics, health status, care dependency, symptoms of anxiety and depression, social support, caregiver burden, and coping styles were assessed during a home visit.
RESULTS: Female partners had more symptoms of anxiety and a worse health status than male partners. Social support and caregiver burden were comparable, but coping styles differed between male and female partners. Female partners thought that male patients were less care dependent and had more symptoms of depression, while these gender differences did not exist in patients themselves.
CONCLUSION: Health care providers should pay attention to the needs of all partners of patients with COPD, but female partners in particular. Obtaining an extensive overview of the patient-partner couple, including coping styles, health status, symptoms of anxiety, and caregiver burden, is necessary to be able to support the couple as effectively as possible.

Entities:  

Keywords:  COPD; family caregiving; gender; partners

Mesh:

Year:  2016        PMID: 28096665      PMCID: PMC5207329          DOI: 10.2147/COPD.S118871

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


Introduction

Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease, characterized by a usually progressive, persistent airflow limitation.1 Although once seen as a disease of men, nowadays COPD is known to be increasingly prevalent among women.2 As COPD becomes more prevalent in women, several studies have focused on possible gender-related differences. For instance, women with COPD report more symptoms such as dyspnea, fatigue, chronic cough, anxiety, and depression, but they also report a lower health-related quality of life compared to their male peers.3–6 Patients’ symptom burden can result into problems with activities of daily life, which, in turn can result in care dependence on family members and in particular partners.7 Yet, research regarding possible gender differences in partners of patients with COPD has been conducted to a lesser extent, and most research focused on female partners.8,9 Indeed, compared to male family caregivers, female family caregivers of patients with COPD reported a higher prevalence of increased symptoms of anxiety and depression.10 This is in line with findings in female family caregivers of patients from the general population, hospice patients, and patients with cancer.11–13 These female caregivers, compared to male caregivers, have more difficulty with balancing informal caregiving with other (family and employment) responsibilities, suffer from poorer emotional health,11 and appear to be more distressed.12 Moreover, they show a more negative impact on their daily activities, health, and family support13 compared to men. It seems that males’ distress is related to their own health condition and not to the health condition of their female patient partner, while this is different in women.14 Another explanation may be that female informal caregivers use different coping strategies, such as seeking social support and wishful thinking, as was shown in caregivers of patients with dementia.15 Partners’ perceptions of the patients’ health status may also explain differences in the experience of caregiving. Indeed, a previous study in patients with COPD, chronic heart failure, or chronic renal failure showed major differences between the patients’ symptom report and their family caregivers’ perception.16 It is reasonable to assume that gender differences do exist in partners’ perceptions of patients’ health status, care dependency, and symptoms of anxiety and depression. These gender differences in partners’ perceptions may also explain gender differences in the experience of caregiving. To date, it remains unknown whether gender differences in partners’ perceptions of patients with COPD actually do exist. Therefore, we aimed to investigate differences between male and female partners of patients with COPD not only regarding their own health status, symptoms of anxiety and depression, social support, caregiver burden, and coping styles but also regarding their perceptions of the patients’ care dependency, symptoms of anxiety and depression, and health status. We hypothesized that female partners have a worse health status, more symptoms of anxiety and depression, and perceive lower levels of social support and higher levels of caregiver burden themselves. Moreover, we hypothesized that coping styles such as seeking social support and reassuring thoughts are more important for female than for male partners. Additionally, we hypothesized that female partners perceive a worse health status, more symptoms of anxiety and depression, and more care dependency in patients compared to male partners.

Methods

Design

The baseline results of the Home Sweet Home Study were used, in which data were collected during home visits at baseline and after 12 months.17 Additional home visits were performed when an exacerbation-related hospital admission occurred during the 12-month follow-up period. This study is approved by the Medical Research Ethics Committees United, the Netherlands (NL42721.060.12/M12-1280), and is registered in the Dutch Trial Register (NTR3941). The protocol of this study and data about health status and problematic activities of daily life were published before.17–19

Study population

Patients with COPD were recruited by their chest physician or a respiratory nurse specialist in four hospitals throughout the southern-eastern part of the Netherlands. Additionally, patients participating in the “Chance study” (NTR3416)20 who met the inclusion criteria of the Home Sweet Home study and were willing to participate in further research were asked to participate in the current study. Inclusion occurred during the first home visit, between July 2013 and December 2014. Patients were eligible if they had moderate to very severe COPD (Global initiative for chronic Obstructive Lung Disease [GOLD] grade II, III, or IV);21 no exacerbation of COPD22 or hospitalization <4 weeks preceding enrolment; and if they could identify a loved one (defined as a person living together with the patient with COPD, regardless of whether or not he/she provides [informal] care to the patient with COPD). Patients and/or partners were excluded if they were unable to complete the study questionnaires because of cognitive impairment (defined as Short Blessed Test score ≥10 point)23 or if they were unable to understand Dutch. Furthermore, non-partner relationships and non-heterosexual patient–partner pairs were excluded in the current analysis. All participating patients and their participating partners gave written informed consent.

Instruments

Demographics and clinical characteristics were assessed in both patients and partners, during a visit in their home environment. This included body mass index (weight/height2), self-reported comorbidities (Charlson comorbidity index),24 smoking history and current smoking habits, and post-bronchodilator spirometry (to calculate the forced expiratory volume in the first second and Tiffeneau index, using a handheld spirometer according to guidelines).1 In patients, the total number of COPD exacerbations with and without hospital admission in the year before the home visit, and receiving help with personal care from professionals or relatives during the last 6 months before the home visit were assessed. The Dutch relationship questionnaire (Nederlandse Relatievragenlijst) was used to assess the quality of the relationship between the patient and partner.25 This self-administered questionnaire was assessed in both patients and partners separately and consists of 80 questions in five domains (independence, emotional solidarity, identity, conflict handling, and sexuality). Its total score ranges from 0 (very low) to 80 points (very high quality of the relationship). Care dependency was assessed using the care dependency scale, which consists of 15 items.26 The total score ranges from 15 (worst) to 75 points (best), whereby patients with a score ≤68 points were considered as care dependent.27 This questionnaire was assessed in patients, partners, and partners’ perception of the patients. Coping styles, ie, the way a person (partner) deals with problems or stressful situations, were assessed using the Utrecht Coping List.28 It consists of 47 items divided into seven subscales: Active confronting: confronting problems and employing purposeful strategies. Item example: “Immediately intervene if there are difficulties.” Palliative reaction: distracting one’s attention from the problems, includes smoking and drinking. Item example: “Trying to relax.” Avoidance: waiting and keeping clear of the problem. Item example: “Avoid difficult situations.” Seeking social support: seeking comfort and help from others. Item example: “Sharing your concerns with someone.” Passive reaction pattern: worrying and drawing back. Item example: “Isolate yourself from others.” Expressing emotions: showing annoyance or anger. Item example: “Release your tension.” Reassuring thoughts: self-encouragement and realizing that worse things can happen. Item example: “Tell yourself that it will turn out better than expected.” Each item has four levels: seldom or never, sometimes, often, and very often. A higher score indicates a greater amount of the variable being measured. Symptoms of anxiety and depression in patients, partners, and partners’ perceptions of patients were assessed using the Hospital Anxiety and Depression Scale (HADS).29 This scale is divided into an anxiety subscale (HADS-A) and a depression subscale (HADS-D). Total scores, for both subscales, range from 0 (optimal) to 21 points (worst). In addition, a score ≥10 points for each subscale was considered as a clinically relevant symptom of anxiety or depression. Generic health status was assessed using the EuroQol-5 Dimensions (EQ-5D) and the Assessment of Quality of Life with 8 Dimensions (AQoL-8D). The EQ-5D included five questions about health-related quality of life and provided an index score (Dutch version) between −0.33 (worst) and 1.0 (best). In addition, current health was rated on a visual analogue scale, which ranges from 0 (worst possible health) to 100 (best possible health). The AQoL-8D is more comprehensive with 35 questions in eight dimensions of health-related quality of life. These eight dimensions can also be combined into a mental and physical health dimension and a utility score. All scales range from 0.00 (death) to 1.00 (best health). The EQ-5D and AQoL-8D were assessed in patients and partners themselves, and in partners’ perceptions of the patients. Social support perceived by patients and partners themselves was assessed using the Medical Outcome Study Social Support Survey.30 This multidimensional questionnaire contained 19 items regarding five dimensions of social support: emotional support, informational support, tangible support, positive social interaction, and affectionate support. Each item has five response choices to indicate how often support was available to them if they needed it, namely: 1) none of the time, 2) a little of the time, 3) some of the time, 4) most of the time, and 5) all of the time. A higher score indicates a greater amount of that specific kind of support. Additionally, the total number of close friends and relatives was asked. To assess caregiver burden in resident partners, the Family Appraisal of Caregiving Questionnaire for Palliative Care was used.31 This 25-item questionnaire includes caregiver burden and positive aspects of caregiving in four domains: caregiver strain, positive caregiving appraisals, caregiver distress, and family well-being. The item scores range from 1 (strongly disagree) to 5 points (strongly agree), so a higher score means a greater amount of the variable being measured.

Statistics

Categorical variables are described as frequencies, while continuous variables were tested for normality and are presented as mean and standard deviation (SD). Continuous variables were compared between male and female partners using independent samples t-tests or Mann–Whitney U-tests, as appropriate. Categorical variables were compared between male and female partners using the chi-square tests. In a post hoc analysis, we compared coping styles in female partners with and without symptoms of anxiety. Moreover, we checked for differences in patients’ health status between patients of partners with and without symptoms of depression. Post hoc Pearson’s product–moment correlations or Spearman’s rank correlations, depending on the variable distribution, were performed to measure the association between caregiver burden and partners’ social support. Strength of the correlation was classified as: no relationship (<0.25), fair (0.25–0.50), moderate to good (0.50–0.75), and good to excellent (>0.75).32 A priori, the level of significance was set at P≤0.01, because of multiple comparisons. All statistics were performed using SPSS version 20.0 (IBM, lnc., Chicago, IL, USA) or GraphPad Prism 6 (GraphPad Software, La Jolla, CA, USA).

Results

General characteristics

In total, 569 patients were screened for eligibility, 449 patient–partner pairs met the inclusion criteria, and 194 pairs completed the home visit. Six pairs were excluded for this analysis due to non-partner relationships or non-heterosexual relationships (Supplementary materials). Therefore, 188 pairs (42% of eligible patient–partner pairs) were included. No differences were found between participants and eligible patients refusing participation regarding age, gender distribution, and GOLD grade (all P>0.05). In total, 85 partners were males (45.2%) and 103 were females (54.8%). On average, partners and patients had similar age (65.3 [8.7] versus 66.3 [8.6] years, respectively, P=0.274). Most patients had COPD GOLD II (47.9%), followed by COPD GOLD III (32.4%) and COPD GOLD IV (19.7%). The majority of the patients had a modified Medical Research Council scale dyspnea score of ≥2 (77.7%). Moreover, 16.5% of the patients and 32.4% of the partners were current smokers.

Male versus female patients

Female patients were significantly younger than male patients and had better EQ-5D index scores (Table 1). Other general and clinical characteristics, care dependency, and symptoms of anxiety and depression were comparable between male and female patients (Table 1).
Table 1

Patient characteristics, symptoms of anxiety and depression, and health status

Female patients(n=85)Male patients(n=103)P-value
General and clinical characteristics
Age, years63.3 (8.0)68.7 (8.3)<0.001
BMI, kg/m225.8 (5.4)26.8 (5.2)0.240
Charlson comorbidity index (patients)a2.2 (1.3)2.5 (1.6)0.141
Current smoker19 (22.4%)12 (11.7%)0.049
Pack yearsa36.4 (17.5)43.3 (21.8)0.068
FEV1 (% predicted)47.7 (18.0)46.7 (17.5)0.697
Number of exacerbations in previous year
Without hospital admissiona1.64 (1.73)1.81 (2.02)b0.718
With hospital admissiona0.73 (1.34)0.90 (1.30)0.186
Receiving care in past 6 months0.375
From professionals19 (22.4%)19 (18.4%)
From relatives11 (12.9%)21 (20.4%)
Dutch relationship questionnaire (patients)a62.5 (13.9)c60.4 (13.4)d0.115
Care dependency scale (patients)a68.9 (7.6)67.1 (9.5)b0.294
Anxiety, depression, and health status
Anxiety subscale (HADS-A)5.7 (3.5)5.8 (3.6)0.940
Depression subscale (HADS-D)5.2 (3.3)6.1 (3.9)0.072
Symptoms of anxiety (≥10), n (%)13 (15.3)15 (14.6)0.889
Symptoms of depression (≥10), n (%)11 (12.9)18 (17.5)0.392
EQ-5D index scorea0.76 (0.22)0.68 (0.27)0.010
EQ-5D VAS score64.8 (17.2)60.0 (19.9)0.081
AQoL-8D, mental0.34 (0.16)0.35 (0.18)0.754
AQoL-8D, physical0.53 (0.18)0.55 (0.17)0.540
AQoL-8D, utility score0.63 (0.18)0.64 (0.18)0.821

Notes: Values expressed as mean (SD) or number of patients (%).

Non-parametric statistical tests have been used because of skewed data;

n=1 missing;

n=5 missing;

n=9 missing.

Abbreviations: AQoL-8D, Assessment of Quality of Life with 8 Dimensions; BMI, body mass index; EQ-5D, EuroQol-5 dimensions; FEV1, forced expiratory volume in the first second; HADS-A, Hospital Anxiety and Depression Scale, Anxiety subscale; HADS-D, Hospital Anxiety and Depression Scale, Depression subscale; SD, standard deviation; VAS, visual analog scale.

Male versus female partners

Male and female partners were comparable regarding general and clinical characteristics, except for higher number of smoking pack years in male partners (Table 2).
Table 2

Male versus female partners

Male partners(n=85)Female partners(n=103)P-value
General and clinical characteristics
Age, years65.1 (8.9)65.4 (8.6)0.808
BMI, kg/m228.2 (4.6)b27.7 (5.1)b0.227
Charlson comorbidity index (patients)a1.4 (1.7)1.1 (1.5)0.449
Current smoker29 (34.1%)32 (31.1%)0.657
Pack yearsa26.7 (21.7)16.3 (18.5)<0.001
Tiffeneau index <70%, n (%)29 (34.1)b27 (26.2)c0.269
FEV1 (% predicted)a100.4 (27.6)b107.1 (23.7)c0.066
Dutch relationship questionnaire (patients)62.7 (11.3)d58.8 (14.6)e0.053
Care dependency scale (patients)a74.2 (2.1)73.4 (6.4)b0.946
Anxiety, depression and health status
Anxiety subscale (HADS-A)4.5 (3.3)6.9 (4.1)<0.001
Depression subscale (HADS-D)a3.7 (2.5)4.3 (3.1)0.261
Symptoms of anxiety (≥10), n (%)7 (8.2)31 (30.1)<0.001
Symptoms of depression (≥10), n (%)3 (3.5)4 (3.9)0.898
EQ-5D, index scorea0.93 (0.11)b0.86 (0.17)0.001
EQ-5D, VAS scorea83.5 (14.4)b81.9 (14.2)0.414
AQoL-8D, mental0.52 (0.16)0.43 (0.15)b<0.001
AQoL-8D, physical0.74 (0.18)0.69 (0.21)b0.109
AQoL-8D, utility scorea0.82 (0.14)0.75 (0.14)b<0.001
Social support
Good friends or close relativesa11 (13)12 (10)b0.368
Emotional/informational support3.9 (0.9)4.1 (0.9)c0.222
Tangible support4.0 (0.9)4.0 (1.0)f0.897
Affectionate supporta4.3 (0.8)4.3 (0.8)c0.521
Positive social interaction4.0 (0.9)b4.2 (0.8)f0.245
Overall support index4.0 (0.8)b4.1 (0.8)d0.387
Caregiver burden
Caregiver strain1.5 (0.7)1.6 (0.7)0.528
Positive caregiving appraisals3.9 (1.2)3.8 (1.2)0.401
Caregiver distress2.0 (1.0)2.1 (1.0)0.724
Family well-beinga3.9 (0.7)3.7 (0.9)0.452

Notes: Values expressed as mean (SD) or number of partners (%).

Non-parametric statistical tests have been used because of skewed data;

n=1 missing;

n=3 missing;

n=4 missing;

n=7 missing;

n=2 missing.

Abbreviations: AQoL-8D, Assessment of Quality of Life with 8 Dimensions; BMI, body mass index; EQ-5D, EuroQol-5 dimensions; FEV1, forced expiratory volume in the first second; HADS-A, Hospital Anxiety and Depression Scale, Anxiety subscale; HADS-D, Hospital Anxiety and Depression Scale, Depression subscale; VAS, visual analog scale; SD, standard deviation.

Six out of the total seven subscales of the questionnaire about coping showed significantly different outcomes for male partners compared to female partners (Figure 1). Very low levels of active confronting, very high levels of palliative reaction, and high levels of avoidance were found significantly more often in female partners compared to male partners. Low levels of seeking social support were more often found in female partners, while medium levels were more common in male partners. In contrast, (very) low levels of the subscales passive reaction pattern and reassuring thoughts were significantly more often found in male partners, while high levels were more common in female partners.
Figure 1

Categorical Utrecht Coping List scores in partners, after stratification for gender.

Notes: Proportion of partners using a very low, low, medium, high, or very high level of a specific coping style. *P≤0.01, compared with the same category of the same subcale for the other gender.

Post hoc analysis showed that low levels of active confronting and high levels of passive reaction pattern were found significantly more often in female partners with symptoms of anxiety compared to female partners without these symptoms (Supplementary materials). In addition, medium levels of passive reaction pattern were found significantly more often in female partners without anxiety symptoms compared to female partners with symptoms of anxiety. Moreover, female partners had worse mean HADS-A scores, EQ-5D index scores, AQoL-8D mental health dimension scores, and AQoL-8D utility scores (Table 2). HADS-D scores, social support, and caregiver burden were comparable between male and female partners. Post hoc analysis showed that patients of a partner with clinically relevant symptoms of depression scored significantly worse on the AQoL-8D physical and utility scores (Supplementary materials). Furthermore, the caregiver strain subscale showed a fair and significant relationship with the Medical Outcome Study Social Support Survey subscales “emotional/informational support,” “tangible support,” and the “overall support index” (Supplementary materials). No relationship was found for the caregiver distress subscale (Supplementary materials).

Partners’ perceptions of patients’ care dependency, mood, and health status

Male partners gave female patients a significantly lower score on the care dependency scale compared to female partners about male patients (Table 3). However, no differences were found between male and female partners’ perceptions of the proportion of care-dependent patients (32.9% vs 24.3%, respectively, P=0.189) (Supplementary materials).
Table 3

Partners’ perceptions of patients’ care dependency, symptoms of anxiety and depression, and health status

Male partners(n=85)Female partners(n=103)P-value
Care dependency
Care dependency scale (patients)a68.2 (9.0)70.4 (7.9)0.003
Anxiety, depression, and health status
Anxiety subscale (HADS-A)6.1 (3.7)b6.0 (3.8)0.915
Depression subscale (HADS-D)4.7 (3.0)b6.3 (3.7)0.001
Symptoms of anxiety (≥10), n (%)15 (17.6)b22 (21.4)0.550
Symptoms of depression (≥10), n (%)6 (7.1)b22 (21.4)0.007
EQ-5D index score0.74 (0.23)b0.68 (0.29)0.082
EQ-5D VAS score64.1 (17.8)b61.1 (21.8)0.299
AQoL-8D, mental0.38 (0.18)b0.35 (0.18)0.221
AQoL-8D, physical0.51 (0.18)b0.52 (0.18)0.784
AQoL-8D, utility score0.65 (0.20)b0.62 (0.20)0.359

Notes: Values expressed as mean (SD) or number of partners (%).

Non-parametric statistical tests have been used because of skewed data;

n=1 missing.

Abbreviations: AQoL-8D, Assessment of Quality of Life with 8 Dimensions; EQ-5D, EuroQol-5 dimensions; HADS-A, Hospital Anxiety and Depression Scale, Anxiety subscale; HADS-D, Hospital Anxiety and Depression Scale, Depression subscale; VAS, visual analog scale; SD, standard deviation.

Moreover, female partners gave their male patients a higher score on the HADS depression subscale. Although an equal amount of male and female patients (P=0.392, Table 1) reported symptoms of depression (shown in the two right quadrants in Figure 2), more female partners than male partners perceived clinically relevant symptoms of depression in patients (P=0.007, Table 3) (shown in the two upper quadrants in Figure 2). In addition, a significant difference between male and female patients was found for the EQ-5D index score (Table 1). However, male and female partners scored the patients not significantly different on the EQ-5D (Table 3).
Figure 2

Patients’ and partners’ perceptions about patients’ symptoms of depression.

Note: HADS-D scores of patients with COPD (horizontal axes) and partners’ perceptions of the patients (vertical axes).

Abbreviations: COPD, chronic obstructive pulmonary disease; HADS-D, Hospital Anxiety and Depression Scale, Depression subscale.

Discussion

Key findings

Female partners had more symptoms of anxiety and a worse health status than male partners, but social support and caregiver burden were comparable for male and female partners of patients with COPD. Coping styles differed between male and female partners. Moreover, female partners thought that male patients were less care dependent and had more symptoms of depression, while these gender differences did not exist in patients themselves. This study showed that female partners have more often clinically relevant symptoms of anxiety compared to male partners, which is in line with a study by Jácome et al.10 Factors which might contribute to the higher levels of anxiety in women are as follows: women might be more emotionally attentive and more likely to report negative emotions,33,34 they use more emotion-focused coping styles,33 and perform more time-consuming caregiving tasks and household chores.35 In the current study, equal levels of depression in men and women were found. These findings are in line with a large population-based study providing normative data of the United Kingdom.36 Depressive symptoms in caregivers of patients with chronic heart failure and terminally ill cancer patients were related to patients’ disease burden.37,38 Therefore, the current authors conducted a post hoc analysis, which showed that patients had a worse health status when their partner had symptoms of depression. Comparable with other studies,39,40 we found no differences in caregiver burden between male and female partners. Moreover, we did not find any difference in the quality of the relationship and levels of social support between male and female patients and partners. The equal levels of burden found in this study might be explained by the equal levels of social support in partners, because more caregiver burden could be experienced when perceiving less social support.41 By conducting post hoc correlations, we confirmed that lower levels of social support were associated with higher levels of caregiver strain. This study showed differences in categorical subscales of coping between male and female partners, which was also found in a random sample of the Swedish population.42 These gender differences could be related to the higher anxiety scores in female partners. In fact, female partners in the current study reported similar levels of coping compared to patients with symptoms of anxiety in a previous study,43 namely, a lower use of active confronting style and an increased use of palliative reaction, avoidance, and passive reaction pattern. Therefore, we conducted a post hoc analysis in female partners of patients with COPD. The post hoc results were in line with the results of Stoilkova et al.43

Partners’ perceptions of patients’ care dependency, symptoms of anxiety and depression, and health status

Male partners thought that female patients were more care dependent than female partners did, while male and female patients’ scores were comparable. No differences were found between male and female partners’ perceptions regarding patients’ health status. However, a small difference on the EQ-5D index score did exist between male and female patients themselves. So it seems reasonable to believe that patients’ health status is not a main cause of the perception differences between male and female partners regarding patients’ care dependency. Our conclusion is that more knowledge regarding these perception differences is needed.44 Although no differences were found in symptoms of depression between male and female patients, female partners rated patients more often with symptoms of depression compared to male partners. This could not be due to the symptoms of depression of partners themselves, because female partners showed an increased level of anxiety symptoms only. Janssen et al16 studied the agreement between patients with advanced chronic organ failure and their family caregivers regarding patients’ symptoms. They concluded that family caregivers reported a higher number of symptoms than patients themselves and that patients’ or family caregivers’ gender were not determinants for clinically relevant differences. Nevertheless, research in partners’ perceptions about patients’ symptoms is very rare and should be expanded.44 The study at hand could not distinguish a difference between male and female partners’ perceptions of the health status of patients with COPD. Additionally, male patients had a worse health status compared to female patients as assessed with the EQ-5D index score in patients themselves. A previous study concluded that proxies rated the patients as having a more impaired health status than the patients themselves.45 However, that study could not check for gender differences because their study population consisted solely of male patients with COPD.

Clinical consequences

Recently, the definition and ultimate goals of a collaborative self-management intervention in COPD patients were published.46 One of the goals referred to the patients’ partner: “Establishing effective alliances with health care professionals, family, friends, and community.” Therefore, all healthcare professionals who attempt to achieve self-management in patients with COPD should involve the patient’s partner. Especially in case of female partners, attention should be paid to coping styles, symptoms of anxiety, and health status. We should also be aware of the social expectations of the idea that women act as “natural” caregivers.13 Because the feeling that caregiving is an assumed responsibility instead of a choice could affect the reaction to caregiving.13 For instance, when the social environment view the female caregiver as naturally better at caregiving, they might be less likely to perceive support as being needed, thus less likely to offer it. So, obtaining an extensive overview of the patient–partner couple, including coping styles, health status, symptoms of anxiety, and caregiver burden, is necessary to be able to support the couple as affectively as possible. Future studies should explore more knowledge regarding gender-specific involvement of partners of patients with COPD.

Methodological considerations

Focus on the experience of mostly female caregivers was one of the most common limitations of studies included in the review by Grant et al.8 Therefore, a positive aspect of the current study is the fact that there is an almost equal amount of male and female patients and partners. Nevertheless, some limitations of the present study should be acknowledged. First, the response rate was 42%. So, unknown differences between participants and eligible patients or partners refusing participation may be present. Second, symptoms of anxiety and depression were assessed using the HADS, which is a validated and reliable questionnaire to screen for these symptoms.29 However, we did not use an instrument to diagnose an anxiety or depressive disorder according to the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders.47 Lastly, we excluded non-partner and non-heterosexual relationships which may limit the generalizability of our findings.

Conclusions and implications

Consistent with our hypothesis, we found that female partners, compared to male partners, have more symptoms of anxiety, used different coping styles, and have a worse health status. In addition, perception differences between male and female partners did exist regarding patients’ care dependency and patients’ symptoms of depression. Yet, research in partners of patients with COPD is not very common and many research questions remain unanswered. Despite this, the current study showed that health care providers should pay attention to the needs of all partners of patients with COPD, but female partners in particular.
  41 in total

1.  Evaluation of male COPD patients' health status by proxies.

Authors:  Carme Santiveri; Marta Espinalt; Francesc X Díaz Carrasco; Alejandra Marín; Elena Miguel; Paul W Jones
Journal:  Respir Med       Date:  2006-09-01       Impact factor: 3.415

2.  Diagnostic accuracy of the care dependency scale.

Authors:  Ate Dijkstra; Lucas J Tiesinga; Liesbeth Plantinga; Getine Veltman; Theo W N Dassen
Journal:  J Adv Nurs       Date:  2005-05       Impact factor: 3.187

3.  Problematic activities of daily life are weakly associated with clinical characteristics in COPD.

Authors:  Janneke Annegarn; Kenneth Meijer; Valeria Lima Passos; Katharina Stute; Jozé Wiechert; Hans H C M Savelberg; Annemie M W J Schols; Emiel F M Wouters; Martijn A Spruit
Journal:  J Am Med Dir Assoc       Date:  2011-02-17       Impact factor: 4.669

4.  Psychological distress in couples dealing with colorectal cancer: gender and role differences and intracouple correspondence.

Authors:  Jolanda Tuinstra; Mariët Hagedoorn; Eric Van Sonderen; Adelita V Ranchor; Geertrudis A M Van den Bos; Chris Nijboer; Robbert Sanderman
Journal:  Br J Health Psychol       Date:  2004-11

Review 5.  Toward a consensus definition for COPD exacerbations.

Authors:  R Rodriguez-Roisin
Journal:  Chest       Date:  2000-05       Impact factor: 9.410

6.  Sex differences in severe pulmonary emphysema.

Authors:  Fernando J Martinez; Jeffrey L Curtis; Frank Sciurba; Jeanette Mumford; Nicholas D Giardino; Gail Weinmann; Ella Kazerooni; Susan Murray; Gerard J Criner; Donald D Sin; James Hogg; Andrew L Ries; MeiLan Han; Alfred P Fishman; Barry Make; Eric A Hoffman; Zab Mohsenifar; Robert Wise
Journal:  Am J Respir Crit Care Med       Date:  2007-04-12       Impact factor: 21.405

7.  Health Status and Morbidities in Resident Relatives of Patients With COPD.

Authors:  Nienke Nakken; Martijn A Spruit; Esther H A van den Bogaart; Monique van Vliet; Geeuwke J de Vries; Frank L Custers; Jan H Vercoulen; Guus M Asijee; Jean W Muris; Lowie E G W Vanfleteren; Frits M E Franssen; Emiel F M Wouters; Daisy J A Janssen
Journal:  J Am Med Dir Assoc       Date:  2016-01-21       Impact factor: 4.669

8.  Living with severe chronic obstructive pulmonary disease (COPD): perceptions of patients and their carers. An interpretative phenomenological analysis.

Authors:  D A Seamark; S D Blake; C J Seamark; D M Halpin
Journal:  Palliat Med       Date:  2004-10       Impact factor: 4.762

9.  Normative data for the Hospital Anxiety and Depression Scale.

Authors:  Suzanne Breeman; Seonaidh Cotton; Shona Fielding; Gareth T Jones
Journal:  Qual Life Res       Date:  2014-07-27       Impact factor: 4.147

10.  Definition of a COPD self-management intervention: International Expert Group consensus.

Authors:  Tanja W Effing; Jan H Vercoulen; Jean Bourbeau; Jaap Trappenburg; Anke Lenferink; Paul Cafarella; David Coultas; Paula Meek; Paul van der Valk; Erik W M A Bischoff; Christine Bucknall; Naresh A Dewan; Frances Early; Vincent Fan; Peter Frith; Daisy J A Janssen; Katy Mitchell; Mike Morgan; Linda Nici; Irem Patel; Haydn Walters; Kathryn L Rice; Sally Singh; Richard Zuwallack; Roberto Benzo; Roger Goldstein; Martyn R Partridge; Job van der Palen
Journal:  Eur Respir J       Date:  2016-04-13       Impact factor: 33.795

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  5 in total

1.  Risk Factors for Depression in Patients with Chronic Obstructive Pulmonary Disease.

Authors:  Kang Xu; Xiu Li
Journal:  Med Sci Monit       Date:  2018-03-08

Review 2.  Assessing carer needs in chronic obstructive pulmonary disease.

Authors:  Morag Farquhar
Journal:  Chron Respir Dis       Date:  2017-07-07       Impact factor: 2.444

3.  "It's like being on a roller coaster": the burden of caring for people with severe asthma.

Authors:  Eleanor C Majellano; Vanessa L Clark; Juliet M Foster; Peter G Gibson; Vanessa M McDonald
Journal:  ERJ Open Res       Date:  2021-04-12

4.  Effects of Education on Care Burden and Quality of Life to Caregivers of Patients with COPD.

Authors:  Firdevs Kuzu; Hatice Tel Aydın
Journal:  Turk Thorac J       Date:  2022-03

5.  'Who Cares?' The experiences of caregivers of adults living with heart failure, chronic obstructive pulmonary disease and coronary artery disease: a mixed methods systematic review.

Authors:  Miriam Catherine Noonan; Jennifer Wingham; Rod S Taylor
Journal:  BMJ Open       Date:  2018-07-11       Impact factor: 2.692

  5 in total

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