A Multicenter Cross-Sectional Study on Quality of Life and Work Productivity among Women with Skin Disease


Siti Amalina Mazlan1,2, Siti Khuzaimah Ahmad Sharoni1*


1Centre for Nursing Studies, Faculty of Health Sciences, University of Technology MARA, 42300 Puncak Alam, Selangor, Malaysia

2ILKKM Sungai Buloh, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia


*Corresponding Author’s Email: sitik123@uitm.edu.my


ABSTRACT


Background: The most visible organ of a human being is considered to be the skin. The effects of visible skin disorders on quality of life (QoL) and productivity at work go far beyond their clinical manifestations, especially among women. The objective of this research is to evaluate the quality of life and work productivity of women with skin conditions who attend public hospitals. Methods: A Cross-sectional study was carried out from March 2023 to May 2023 at the dermatology clinics of Kuala Lumpur Hospital and Selayang Hospital. With 404 respondents, the researcher used a proportionate and random sampling technique. The Dermatology Life Quality Index (DLQI) and Work Productivity and Activity Impairment - General Health (WPAI- GH) scales were included in the self-administered questionnaire. The data in this study were analyzed using Statistical Packages for the Social Sciences (SPSS) Version 28. Results: Eczema was frequently diagnosed in the respondents (42.1%) aged 18– 30 (53.7%) followed by acne vulgaris (30.9%) and psoriasis (27%). Patients with eczema had the most significant effect on the DLQI score (35.9%). The outcome for WPAI-GH observed psoriasis patients showed the highest absenteeism (M=8.6, SD=15.4). There was no significant difference between types of skin diseases with WPAI-GH subscales (p>0.05). Activity impairment was significantly associated with the DLQI score (p<0.05). Conclusion: These results demonstrated the need for dermatologists and nurses to develop comprehensive care approaches that address the multidimensional impact of skin diseases on patients to improve their quality of life and productivity at work by putting into practice strategies to overcome the issues. Since the nurses are at the forefront of patient care, they possess the expertise to recognize how skin diseases may influence patients' daily functioning and professional productivity; thus, specific strategies can be planned, which will improve the patient's overall health outcomes.


Keywords: Acne Vulgaris; Eczema; Psoriasis; Quality of Life (QoL); Skin Disease; Women; Work Productivity


INTRODUCTION


The largest and most visible organ of the human body is considered to be the skin (AlOtaibi et al., 2021). A skin disease is any condition or disease that damages the human skin. (Greaves,2020). Regardless of culture, age, or socioeconomic status, skin conditions rank among the most common medical concerns worldwide (Mian et al., 2019). Skin disorders, the fourth most common cause of all human diseases globally, affect over one-third of the world's population, yet their impact often goes unnoticed (Flohr & Hay, 2021). According to the World Health Organisation (WHO), skin diseases are one of the most common conditions affecting human health. Nearly 900 million people worldwide experience skin diseases at any given time (Dagne, 2018). Between 21 and 87% of people are susceptible to at least one skin condition (AlOtaibi et al., 2021). The World Health Organization (WHO) recently released datafor 2017, stating that skin disease deaths in Malaysia totaled 957, accounting for 0.69% of all deaths. The country is ranked 35th in the world with a death rate of 4.25 per 100,000 people (World Health Ranking, 2018).


Skin conditions may significantly affect a patient’s quality of life (QoL), impacting various aspects of the patient’s daily life (Ali et al., 2018). Visible skin disorders have effectsthat reach beyond just their clinical aspects, especially in women, affecting their quality of life and emotional well-being (Mazlan & Sharoni, 2023). Many skin diseases, including serious ones like malignant melanoma, and ongoing ones like psoriasis and atopic dermatitis, can greatly impact how patients live. These conditions can make it difficult to engage in social activities and personal routines, and they can also lead to psychological issues such as depression and anxiety (Gisondi et al., 2023). Svensson et al. (2018) reported that skin diseases more frequently affected women than men. A study on skin diseases in Malaysia found that life quality significantly impacted younger adults and females more than older adults and males (Kassab et al., 2019). Patients suffering from psoriasis encounter more severe social stigma compared to individuals with other skin conditions, leading to significant and enduring emotional disturbances throughout their lives (Romiti, Magalhães, & Duarte, 2024). Skin disorders can affect anyone, but some are more common in women, according to dermatologists. These various skin diseases in women are most frequently caused by hormones, pregnancy, and lifestyle choices (Fellizar, 2019). Skin conditions can affect daily activities and cause physical and emotional discomfort in both children and adults (Seth et al., 2017). According to Schuster et al. (2020), a study demonstrates a robust correlation between psychosocial factors, particularly stress-related ones, and the occurrence, severity, and progression of skin diseases, with the potential for these factors to impact treatment strategies. Again, in an article by Ali et al. (2018), it was mentioned that several studies have found a connection between psychiatric morbidity and skin conditions. Various indicators have been utilized to explore the impact of different skin diseases on quality of life, as well as to evaluate the presence of psychiatric comorbidities (Oberoi et al., 2024). Few studies have examined how skin conditions affect quality of life and productivity at work in Malaysia. None of the studies specifically mention the quality of life (QoL) and work productivity among women affected by skin disease. Using scoring systems for skin diseases, such as the DLQI scoring system, at least once during the patient's initial visit to the dermatology department, it is crucial to learn how skin diseases can affect patients' QoL to address all the issues raised above. Instead of just concentrating on the disease, more comprehensive treatment delivery may consider all facets of the patient's condition. Foster collaboration between nurses and dermatologists, ensuring that participants receive multidisciplinary care. This can enhance the effectiveness of interventions and address both medical and nursing aspects of care. Therefore, the goal of this study is to raise awareness of the effects that skin disease patients experience, especially in terms of life quality and work productivity.


This research can give nurses and other healthcare providers a better understanding of the impact of skin diseases on women. Many unfavourable impacts of various skin issues negatively influence QoL; these effects, in turn, may impact treatment compliance and disease progression (AlOtaibi et al., 2021). As a result, dermatologists, nurses, and other healthcare providers can use QoL measurements to track the impact of disease development. Quality of life measurements examine a patient's physical activity, professional, and social functioning. These indicators can be utilized to improve existing management alternatives or signal the need for new ones. Nursing education can improve the quality of care and patient outcomes by providing opportunities to improve practice skills and knowledge about the impact of skin diseases on their clients.


METHODOLOGY


Study Design and Setting


This quantitative, cross-sectional study was carried out at the dermatology clinics of Kuala Lumpur Hospital and Selayang Hospital. The Specialist Complex and Ambulatory Care Centre (SCACC) sixth floor is where the dermatology clinic for Kuala Lumpur Hospital is located. The dermatology clinic for Selayang Hospital is located on the fourth floor of a daycare complex. These clinics were crucial components that would receive referral cases from other divisions, general practitioners, and even outpatient care facilities.


Participants and Sampling Procedure


In accordance with the sample size determined by the Raosoft sample size calculator (Raosoft, 2020) and considering a dropout rate of 10%, the total sample size was 420. There were 120 respondents from Selayang Hospital and 300 from Kuala Lumpur Hospital. With a response rate of 96.2% overall, the study was able to get 404 patients to complete the questionnaires. In contrast to Kuala Lumpur Hospital, where the response rate was 94.7% (n=284), Selayang Hospital had a 100% response rate (n=120). The clinic required the respondent to complete four sections of a set of questionnaires, totaling 55 items, before they could see a doctor. Each participant received the questionnaire individually after the researcher explained their rights. The researcher and the participant only obtained a signature on the consent form after reaching an agreement.


The investigator used a proportionate sampling technique, dividing a limited population (from Kuala Lumpur Hospital and Selayang Hospital) into subpopulations and using random sampling techniques on each subpopulation. Eligible and volunteered respondents were then approached using random sampling methods, which means everyone that meets the criteria will have the probability of being a sample of the study. The study recruited a total of 404 respondents between March 2023 and May 2023. The researcher concentrated on female dermatology clinic clients who had psoriasis, acne vulgaris, and eczema diagnoses. Patients with psoriasis, acne vulgaris, and/or eczema who are female, with an age of ≥ 18, and who can understand and read Malay and/or English, are included in the study. The study excludes patients diagnosed with more than three chronic skin diseases and female patients older than 60.


Study Instruments

This study used a set of questionnaires to address the following research objectives:


Sociodemographic Data


This is based on age, race, religion, educational status, household income, employment status, and marital status.


Clinical Data include diagnosis, year of diagnosis, types of treatment, and comorbid disease.


Work Productivity and Activity Impairment – General Health (WPAI-GH)


The WPAI-GH questionnaire was used to evaluate how the respondents' general health and specific symptoms had affected their ability to work productively and in other areas over the previous seven days. Reilly, Zbrozek & Dukes, 1993 first developed this instrument in 1993 and have since translated it into over 80 languages worldwide. This study used the most recent WPAI-GH update from October 2004 (Reilly Associates, 2019). The WPAI-GH has four (4) subscales. The subscales for the instrument are (i) absenteeism (work time missed): (ii) presenteeism (impairment at work or reduced on the job effectiveness); (iii) work productivity loss (overall work impairment or absenteeism plus presenteeism); and (iv) activity impairment . The scores for the subscales were expressed as impairment percentages, which are higher scores that reflect more absence from work and greater impairment at work and daily activities. It includes six questionnaires to assess the subscales above for the last seven respondents. Results were multiplied by 100 and expressed as percentages of time lost. A higher percentage indicates greater depreciation and less productivity.


Ethical Consideration


The study received ethical approval from Research Ethics Committee of University of Technology, Malaysia MARA, Malaysia, with reference number FERC/FSK/MR/2022/0211 on 12th September 2022, and the Research Ethics Committee (MREC) of the Ministry of Health Malaysia with reference number NMRR ID-22-02280-UDK (IIR) on 7th December, 2022.


Data Analysis


Statistical Packages for the Social Sciences (SPSS) Version 28 was used to independently analyse the data in this study. The mean, standard deviation (SD), minimum, and maximum values were provided for quantitative measures, whereas for categorical measurements, the absolute percentage and relative frequencies were represented. Percentages, means, and standard deviations were used for descriptive data. A one-way analysis of variance (ANOVA) was used to find the relationship between the two quantitative variables. Prior to performing multiple linear regression (MLR), simple linear regression (SLR) was used to account for confounding variables. The relationship between various skin conditions and work productivity in the direction of quality of life has been modeled using MLR. Inferential analyses have been presented as 95% confidence intervals (95% confidence interval CI), and p-value of less than

0.05 is considered statistically significant throughout the analysis.


RESULTS

Sociodemographic Data of Respondents


In this study, 404 patients in total were involved. Most participants in the study (53.7%) were aged between 18 and 30 years old, with a mean age of 32.2 years and a standard deviation (SD) of 10.2. Two-thirds of respondents were graduates (66.1%), Malay (78.7%), and Muslims (81.4%). The respondents' mean household income was RM 4815.40, while their standard deviation (SD) was 4408.8. The majority (63.1%) fell into the B40 (RM 4850.00) category, followed by the unmarried (59.9%) and currently employed (67.3%) groups. Table 1 provides more details about the sociodemographic data.


Table 1: Sociodemographic Characteristics of the Respondent (N = 404)



Variable

Mean

±SD

Frequency (n)

Percentage (%)

Age

32.2

10.2

Min = 18

Max = 60

Young Adults (18-30)

217

53.7

Middle-aged Adults (31-45)

138

34.2

Old-aged Adults (Above 45)

49

12.1

Race

Malay

318

78.7

Chinese

38

9.4

India

31

7.7

Others (Iban, Kadazan, Bidayuh, Sikh)

17

4.2

Religion

Islam

329

81.4

Buddhist

33

8.2

Christian

13

3.2

Hindu

28

6.9

Sikh

1

0.2

Educational Status

Primary

5

1.2

Secondary

109

27.0

Graduate

267

66.1

Others (No Specific Education)

23

5.7

Household Income

4815.4

4408.8

Min = 300

Max = 40000

B40 (<RM 4850.00)

255

63.1

M40 (RM 4850.00 - RM 10959.00)

133

32.9

T20 (≥RM 10960.00)

16

4.0

Employment Status

Employed

272

67.3

Unemployed

132

32.7

Marital Status

Married

162

40.1

Unmarried (Single, Divorce, Widow)

242

59.9


Clinical Data of Respondents


The clinical datarevealed that eczema affected asignificant portion of the respondents(42.1%), followed by acne vulgaris (30.9%) and psoriasis (27.0%). The majority of the respondents (67.3%) had the disease for less than or equal to five years when they received their diagnosis, and more than half (59.9%) received topical and pill treatments, with about 65.6% receiving more than one (1) number of treatments. The respondents' mean year of diagnosis was 5.8 years, with a standard deviation (SD) of 7.0. More than three-quarters of the respondents (78.0%) did not have any comorbid conditions, further classifying them as having no comorbid conditions (78.0%). Asthma (9.2%), Diabetes Mellitus (4.7%), Hypertension (2.7%), and other diseases were among the few comorbidities identified by respondents, as shown in Table 2.


Table 2: Clinical Data of the Respondents (N = 404)

Variable

Mean

±SD

Frequency (n)

Percentage (%)

Diagnosis

Psoriasis

109

27.0

Acne Vulgaris

125

30.9

Eczema

170

42.1

Duration of Diagnosis

5.8

7.0

Min = 0 (< 1 year)

Max = 39

≤5 years

272

67.3

>5 years

132

32.7

Type of Treatment

Topical

116

28.7

Pill

12

3.0

Injection

12

3.0

Topical and Pill

242

59.9

Topical and Injection

2

0.5

Topical and Phototherapy

1

0.2

Pill and Injection

4

1.0

Topical, Pill, & Injection

11

2.7

Topical, Pill, & Laser

1

0.2

Topical, Pill, & Phototherapy

3

0.7

Number of Treatments

1 treatment

139

34.4

>1 treatment

265

65.6

Comorbid

None

315

78.0

Asthma

37

9.2

Asthma and Arthritis

1

0.2

Asthma and Hypertension

2

0.5

Asthma and Rheumatoid

1

0.2

Allergic Rhinitis

1

0.2

Cancer

1

0.2

Diabetes Mellitus

19

4.7

Diabetes Mellitus and Hypertension

2

0.5

Diabetes Mellitus and Hyperlipidemia

1

0.2

Diabetes Mellitus and Rheumatoid

1

0.2

Heart Disease

1

0.2

Hypertension

11

2.7

Hypertension and Hyperlipidemia

1

0.2

Hyperlipidemia

2

0.5

Hyperthyroidism

1

0.2

Osteoarthritis

1

0.2

Rheumatoid Arthritis

1

0.2

Systemic lupus erythematosus (SLE)

1

0.2

Thyroid and Hyperlipidemia

1

0.2

Number of Comorbid

None

315

78.0

1 Comorbid

79

19.6

>1 Comorbid

10

2.4


The Quality of Life of Respondents


Corresponding to Table 3, the respondents' impact on DLQI scores was very large effect (n=130, 32.2%). The most significant effect was experienced by the eczema patients (n=61, 35.9%), followed by psoriasis and acne vulgaris at 30.3% (n=33) and 28.8% (n=36), respectively.


Table 3: Dermatology Life Quality Index (DLQI) Score among Respondents (N = 404)

Skin Diseases


Total (%)


DLQI Scores

Psoriasis n=109 n (%)

Acne Vulgaris n=125

n (%)

Eczema n=170 n (%)

No effect

3 (2.8)

13 (10.4)

10 (5.9)

26 (6.4)

Small effect

25 (22.9)

35 (28.0)

31 (18.2)

91 (22.5)

Moderate effect

35 (32.1)

34 (27.2)

49 (28.8)

118 (29.2)

Very large effect

33 (30.3)

36 (28.8)

61 (35.9)

130 (32.2)

Extremely large effect

13 (11.9)

7 (5.6)

19 (11.2)

39 (9.7)

Scoring/ Mean±SD (Min–Max)

11.1±7.7

(1–30)

8.8±6.5

(1–27)

11.0±6.9

(1–30)

-

Total (%)

109 (100.0)

125 (100.0)

170 (100.0)

404 (100)


The Relationship Between Types of Skin Disease and Work Productivity among Women with Skin Disease


The WPAI-GH variables included four (4) subscales, which were absenteeism, presenteeism, work productivity loss, and activity impairment. The mean and SD of the WPAI-GH of the respondents were assembled in Table 4. When compared to patients with psoriasis and acne vulgaris, eczema patients showed higher rates of absenteeism (M=8.6, SD=15.4), presenteeism (M=21.2, SD=26.9), lost productivity at work (M=26.1, SD=27.3), and activity impairment (M=35.2, SD=27.0). Women with various types of skin diseases did not significantly differ in their work productivity subscale scores, according to the one-way ANOVA test. Based on this analysis, it can be concluded that psoriasis, acne vulgaris, and eczema do not significantly affect these women's absenteeism (p=0.059), presenteeism (p=0.713), loss of work productivity (p=0.776), or activity impairment (p=0.149).

Table 4: The Relationship between Types of Skin Disease and Work Productivity (WPAI– GH) in Various Subscales (N = 404)



WPAI-GH Subscales

Skin Diseases


F-statisticᵃ (df)


p-value

Psoriasis n=109

Acne Vulgaris n=125

Eczema n=170

Absenteeism

Mean±SD

8.6±15.4

4.7±9.0

6.9±12.5

2.86 (2,401)

0.059

(Min–Max)

(0–100)

(0–69.23)

(0–80)

Presenteeism

Mean±SD

18.6±24.4

20.6±24.9

21.2±26.9

0.34 (2,401)

0.713

(Min–Max)

(0–100)

(0–100)

(0–100)

Work Productivity Loss

Mean±SD

24.8±26.1

24.0±24.3

24.8±26.1

0.25 (2,401)

0.776

(Min–Max)

(0–100)

(0–100)

(0–100)

Activity Impairment

Mean±SD

33.1±27.8

29.0±26.6

35.2±27.0

1.91 (2,401)

0.149

(Min–Max)

(0–100)

(0–100)

(0–100)

ᵃ One-way ANOVA test


The Relationship Between the Types of Skin Disease and Work Productivity Toward the Quality of Life among Women with Skin Disease


The one-way ANOVA test results in Table 5 showed a significant difference between the different types of skin diseases on DLQI score quality of life F (2, 401) = 4.61, p<0.05. According to this finding, the impact of various skin diseases on quality of life varied significantly. The researcher discovered from the subsequent Tukey post-hoc test that there was statistically significant difference between patients with acne vulgaris (M=8.76, SD=6.46) and patients with psoriasis (M=11.1, SD=7.7, p=0.029) and eczema (M=11.0, SD=6.9, p=0.019). Between the psoriasis and eczema patient groups, there was no statistically significant difference (p>0.05). Using multiple linear regression (MLR), the relationship between the various disease types and work productivity with regard to quality of life was examined. To account for potential confounding variables and investigate the specific relationships between each predictor variable and quality of life, the researcher ran a simple linear regression. According to Table 6, the MLR statistical analysis found that women with the activity impairment had a 0.1lower quality of life score (p<0.001, 95% CI: 0.03, 0.09 score). According to the findings, women who experience an increase in activity impairment will have a 0.1 lower quality of life.


Table 5: The Relationship between Types of Skin Disease and Quality of Life (N = 404)

Variable

Quality of life DLQI

Mean (SD)

95% CI

F-statisticᵃ (df)

p-value

Skin Disease

Psoriasis

11.11 (7.70)

9.65, 12.57


4.611 (2,401)


0.010ᵇ

Acne Vulgaris

8.76 (6.46)

7.62, 9.90

Eczema

11.00 (6.89)

9.96, 12.04

ᵃ One-way ANOVA test

ᵇ Only “psoriasis and acne vulgaris” (p=0.029) and “eczema and acne vulgaris” (p=0.019) pairs are significantly different by post-hoc test Tukey procedures.


Table 6: The Relationship of Work Productivity toward Quality of Life (N = 404)

WPAI-GH Subscales

Simple Linear Regression

Multiple Linear Regression

Adj.

B

95% CI

T stat

p-value

Adj. B

95% CI

T stat

p-value

Absenteeism

0.064

0.01, 0.12

2.281

0.023

0.075

-0.03, 0.18

1.406

0.160

Presenteeism

0.104

0.08, 0.13

8.199

<0.001

0.103

-0.04, 0.24

1.449

0.148

Work productivity loss

0.099

0.07, 0.12

7.827

<0.001

-0.083

-0.24, 0.06

-1.127

0.260

Activity impairment

0.140

0.12, 0.16

12.834

<0.001

0.060

0.03, 0.09

4.131

<0.001*

Absenteeism

0.064

0.01, 0.12

2.281

0.023

0.075

-0.03, 0.18

1.406

0.160

Note: Multiple Linear Regression, *p-value is significant at p<0.05.


DISCUSSION


Sociodemographic Data of Respondents

Many of the participants in the study were between the ages of 18 and 30, with a mean age of 32.2. Investigating the racial distribution of the study's sample revealed that most participants were from the Malay ethnic group. According to statistics from the Department of Statistics Malaysia (2022), Bumiputera made up 69.9% of the population in 2022, followed by Chinese (22.8%), Indians (6.6%), and others (0.7%). The majority of the respondents in the study, who came from different religious backgrounds, were Muslims. Most of the respondents had graduated college when it came to education level. The respondents to this study had household income falling into the B40 category, were single, and were employed. Since the majority of respondents were working and single, their mean incomes were in line with the most recent average monthly salaries and wages for female workers reported by the Department of Statistics Malaysia (2021).


Clinical Data of Respondents

Eczema was the most common skin condition among the study participants, followed by acne vulgaris and psoriasis. Psoriasis, an autoimmune skin condition, results in itchy and scaly patches on the skin. The severity of psoriasis can vary from minor localized areas to affecting the entire body. This condition is widespread, long-lasting, and currently has no cure (Thakare & Madke, 2024). Analysis of the clinical data revealed trends in the duration of diagnosis, which was less than or equal to 5 years in this study, with a minimum year of diagnosis of zero (1 year) and a maximum year of diagnosis of 39 years, which was again similar to the previous study (Kassab et al., 2019). In terms of the types of treatment received, the clinical data collected for this study showed that more than half of the respondents received topical and pill treatments. Asthma was the most frequently identified comorbid condition by study participants, followed by diabetes mellitus, hypertension, and other illnesses.


The Quality of Life of Respondents


Eczema had a very large effect on respondents' DLQI scores, by a very large margin. The DLQI score for eczema, acne, and psoriasis ranged from 11 to 20, which has a significant impact on quality of life. Ghafoor et al. (2018) made a similar finding. A Malaysian study further supported this finding, finding that eczema patients' quality of life (QOL) worsened more than the combined effects of the other two skin conditions, with women's QOL more severely impacted than men's (Kassab et al., 2019).


The study found that women with various types of skin diseases scored similarly on the subscales measuring work productivity. In comparison to the previous study, the mean score rate for each WPAI-GH subscale was significantly lower (Kalboussi et al., 2019). According to a different study (Dreno et al., 2019), acne relapse significantly affected absenteeism and productivity loss. The same is true of the study by Arima et al. (2018), which found that moderate/severe eczema patients reported significantly higher presenteeism, overall work impairment, and activity impairment than mild eczema patients. This study revealed that women with psoriasis, acne vulgaris, and eczema had a positive outlook on their illnesses in terms of their ability to work productively. People will develop a positive mindset and behaviour to deal with the skin illness, which was referred to as positive psychosocial adaptation, if they believe they can handle it, as mentioned in the study by Zhang et al. (2019).


The Relationship between Types of Skin Disease and Work Productivity among Women with Skin Disease


The results of this study showed that women with various skin diseases did not significantly differ in their scores on the subscales measuring work productivity. This hypothesis suggests that the women's skin conditions did not have a significant impact on absenteeism, presenteeism, work productivity loss, or activity impairment. However, a study found that people with this skin condition are less productive, take more sick days from work, and have lower learning and study abilities (Nowowiejska, Baran & Flisiak, 2021). According to a Japanese study (Hayashi et al., 2013), WPAI-GH has a significant relationship with psoriasis patients. Another Japanese study found that, apart from absenteeism, patients with eczema and chronic urticaria (CU) scored significantly higher on all WPAI-GH subscales than patients with psoriasis (Itakura et al., 2018).


According to a study on acne vulgaris, relapses have a significant impact on absenteeism and productivity loss (Dreno et al., 2019). Due to the demographics seen in the study population, it is likely that the skin diseases had little impact on the respondents' ability to perform their jobs effectively. In spite of having psoriasis, acne vulgaris, or eczema, a sizable portion of the participants were single and employed, suggesting that they were better able to handle their job-related responsibilities. Moreover, the coping and adaptive mechanisms employed by the respondents to overcome the challenges posed by their skin conditions may contribute to their ability to continue working productively. It is conceivable that people who were proactive in seeking medical attention, following recommended therapies, and effectively managing stress were better able to handle work-related demands while managing their skin diseases.


The Relationship between the Types of Skin Disease and Work Productivity toward the Quality of Life among Women with Skin Disease


Based on the findings of this study, women whose skin conditions resulted in higher activity impairment scores claimed that these conditions had a greater impact on their quality of life. Patients with eczema reported significantly lower health-related quality of life (HRQoL) compared to non-eczema controls in the study by Arima et al. (2018), which was similar to this one. This study's findings revealed patients with eczema were more prevalent than those with psoriasis and acne vulgaris. In contrast to another study, the majority of participants reported that their health had little to no impact on their quality of life in relation to skin diseases (AlOtaibi et al., 2021).


The combination of a visible skin condition and its psychological effects frequently results in feelings of shame, reduced self-assurance, and concerns about being stigmatized (Nurye et al., 2023). According to a study by Mohamed et al. (2021), the physical impact of skin lesions was determined by their size, activity, and any accompanying symptoms, such as itching, which has been connected to subjective distress and emotional distress in conditions like psoriasis and hand eczema. The researcher also identified a strong link between the quality of life of women with skin conditions and activity impairment. The results aligned with previous research demonstrating a significant correlation between activity impairment and QOL score (Jeon et al., 2017; Arima et al., 2018). However, the results of this study were at odds with a study by Strober et al. (2019), which found that patients with psoriasis had significantly worse outcomes and life quality for WPAI-GH domains like absenteeism, presenteeism, and work productivity.


CONCLUSION


In order to improve the overall quality of life of people with skin diseases, this research project's findings highlight the significance of addressing patients’s daily activities. These findings have significant ramifications for researchers and medical professionals, including nurses, who are developing comprehensive treatment plans that addressthe multifaceted effectsof skin diseases on people's lives. The dermatologist can implement educational interventions to enhance participants' understanding of their skin condition, management strategies, and lifestyle modifications to improve quality of life. While nurses in the dermatology department can provide counseling to address emotional and psychological aspects related to their skin disease, overall, this research project advances knowledge of the complex interactions between skin conditions, work productivity, and overall quality of life. Further research in this field suggests that focusing specific interventions and support services on these factors can improve the quality of life and wellbeing of women with skin conditions.


Conflict of Interest

The authors declare that they have no competing interests.


ACKNOWLEDGEMENT


The authors express their sincere gratitude to the Faculty of Health Sciences at UiTM Selangor's Puncak Alam Campus, Malaysia, and the Centre for Nursing Studies, Malaysia for their invaluable guidance throughout the research process. The authors also sincerely thank the heads of the Dermatology Department at Selayang Hospital, Kuala Lumpur Hospital, and the Ministry of Health, Malaysia. They extend special thanks to the participants for their time and insights for this study, as well as to the co-investigators from Selayang Hospital and Kuala Lumpur, Malaysia, for helping with data collection.


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