Abstract
Background
It is significant for the healthy outcome of patients with psoriasis (PSO) to improve their self-management efficacy. A standardized assessment tool, however, was lacking. Therefore, we aimed to develop a self-management efficacy questionnaire for patients with PSO (SMEQ-PSO) and evaluate its psychometric properties.
Methods
A cross-sectional study developing clinical evaluation tool was conducted from October 2021 to August 2022. In the process of developing SMEQ-PSO, three phases were involved: item generation, item evaluation, and psychometric evaluation.
Results
The SMEQ-PSO with five dimensions and 28 items was developed. The questionnaire’s content validity index was 0.976. Exploratory factor analysis indicated a five-factor structure (self-efficacy of psychosocial adaptation, self-efficacy of daily life management, self-efficacy of skin management, self-efficacy of disease knowledge management and self-efficacy of disease treatment management) that explained 62.039% of the total variance. Confirmatory factor analysis indicated appropriate fit of the five-factor model. The overall Cronbach’α coefficient was 0.930, the test-retest reliability was 0.768 and the split half reliability coefficients was 0.952.
Conclusions
The 28-item SMEQ-PSO is a reliable and valid tool that can be used to assess the self-management efficacy among patients with PSO and provide personalized interventions based on their individual circumstances to improve their health outcomes.
Similar content being viewed by others
Background
Psoriasis (PSO) is an immune-mediated chronic, recurrent, inflammatory, systemic disease induced by the combination of heredity and environment, commonly characterized by development of erythematous, indurated, scaly, pruritic and commonly painful skin plaques [1]. The global prevalence of PSO is currently 0.09%-11.43%, with approximately 125 million people affected, making it a global public health problem [2]. Based on the Global Burden of Disease (GBD) study, the incidence of PSO showed an increasing trend, and it has attracted more attention [3]. Patients with PSO usually suffer from symptoms related to the skin, but mounting epidemiological and basic scientific studies have found that PSO is not only limited to the skin, but can also be complicated by a variety of systemic and metabolic diseases [4]. 73% of patients with PSO have at least one comorbidity with PSO, such as joint damage, cardiovascular disease, mental-emotional disorders, metabolic syndrome, and tumors, which can significantly reduce a patient’s life expectancy and negatively impact their prognosis [5]. In addition, due to protracted course of disease, repeated outbreak and disfiguring, PSO often causes multiple burdens such as physical, psychological, economic and social burdens, which can have a significant influence on a patient’ s health-related quality of life [6]. Numerous studies have shown that PSO has similar impacts on patients’ quality of life to other chronic diseases, even though its physiological effects are not as severe as those of chronic diseases as cancer, diabetes, or cardiovascular disease [7].
PSO is highly susceptible to intrinsic and extrinsic risk factors including mental stress, drugs, infections, unhealthy lifestyle (such as obesity, smoking and alcohol) which means that patients necessitates long-term coexistence with the disease and the practice of scientific and effective self-management [8]. Furthermore, global psoriasis treatment guidelines emphasize the importance of disease self-management [9,10,11,12]. As a major component of PSO care, self-management is critical, and the implementation of systematic and comprehensive self-management programs will result in better disease control and a higher quality of life for patients with PSO [13, 14]. However, the current state of disease self-management in patients with PSO is unsatisfactory, primarily owing to poor medication adherence and inadequate management of non-drug factors [15]. Previous studies have focused on medication adherence, but it has been overlooked that non-drug factors can also lead to disease recurrence, exacerbation, and an increased risk of hospitalization [16, 17]. As a result, patients with PSO should take the initiative to strengthen long-term comprehensive management including diet, exercise, lifestyle, skin care, and emotion, in addition to actively cooperating with disease-related treatment [18].
As a key determinant of effective chronic disease management, self-management efficacy (SME) is based on Bandura’s self-efficacy theory, evolved from self-efficacy in the context of self-management [19], and expressed as patients’ beliefs or confidence in their ability to successfully deal with and manage their own illness, and can directly or indirectly contribute to the implementation of health behaviors through behavioral management and emotional management [20, 21]. This study defined self-management efficacy among patients with PSO as patients’ confidence or belief in their capacity to successfully control disease progression, relieve clinical symptoms, prevent or reduce disease recurrence, control the comorbidities associated with PSO and enhance quality of life while undergoing disease therapy and management [19, 22]. Patients with a higher level of self-management efficacy are able to effectively manage the disease in a positive manner. Nevertheless, in patients with PSO, self-management efficacy is generally low [23], and there is a close relationship between self-management efficacy and quality of life [24]. Thus, in order to better understand the current state of self-management among patients with PSO and direct health professionals in further providing personalized interventions to improve health outcomes, it is vital to evaluate the level of self-management efficacy. As of yet, no appropriate evaluation instruments have been developed to measure self-management efficacy among patients with PSO. Hence, the purpose of our study was to develop a self-report questionnaire to assess the level of self-management efficacy among patients with PSO and evaluate its psychometric properties.
Methods
Participants
Eligible participants were recruited by convenience sampling in two tertiary hospitals in Shenyang, China from October 2021 to August 2022. Inclusion criteria were: (a) age of 18 years or above, (b) diagnosed with psoriasis, (c) fluent in Chinese both orally and in writing, and (d) voluntary to participate in the study and provided the informed consent. Participants suffering from severe cognitive disorders, cardiovascular diseases or other diseases which of serious effects on their quality of life, and consolidated with other skin diseases were excluded. The general guideline of factor analysis determined that the sample size should be five to ten participants for each item with at least 200 cases [25]. In this study, the initial questionnaire consisted of 43 items, and a total of 440 patients with psoriasis were finally recruited.
Study design
A cross-sectional study developing clinical evaluation tool was conducted from October 2021 to August 2022. The development of this questionnaire followed three phases: (a) item generation, (b) item evaluation, and (c) psychometric evaluation of questionnaire (Fig. 1) [26].
Item generation
According to self-efficacy theory, the conceptual for the self-management efficacy evolved from self-efficacy in the context of self-management [19]. To develop the items for the SMEQ-PSO, we conducted a comprehensive literature review related to the self-management efficacy in patients with PSO [27]. The initial draft of the SMEQ-PSO was based on the following: guidelines of the Chinese Society of Dermatology [22], Joint AAD-NPF guidelines of care for the management and treatment of psoriasis with awareness and attention to comorbidities [9], Consensus guidelines for the management of plaque psoriasis [28], guidelines of Psoriasis: assessment and management [12], Asian consensus on assessment and management of mild to moderate plaque psoriasis with topical therapy [10]. Furthermore, based on the findings from the review, drawing on the item pool of other chronic disease self-management scales to supplement with items, and semi-structured interviews were conducted with patients with PSO to comprehensively understand their self-management status and related needs. A total of 7 experts were invited to revise the initial draft of the SMEQ-PSO. Inclusion criteria of experts were: (a) at least 10 years in the field of expertise, (b) at least intermediate title, (c) at least master degree, and (d) voluntary participants in the study. They were asked to consider whether the questionnaire covered all aspects of self-management in patients with PSO, and provide feedback and suggestions for improving it. To test the accuracy of language and readability of the SMEQ-PSO, ten PSO patients who met the inclusion and exclusion criteria completed the questionnaire in a pre-study and were asked to comment on any unclear items. The item pool was formed with 44 items. The questionnaire had a five-point Likert-type format with responses as “completely unconfident” (1), “less confident” (2), “confident” (3), “quite Confident” (4), and “absolutely completely confident” (5). Higher scores indicate better self-management efficacy.
Item evaluation
The quality of the item was estimated by the item analysis with the critical ratio (CR) value, item-total correlation (ITC) and internal consistency. The CR was arranging the total score of the questionnaire from low to high, according to the critical score of 27%, the subjects were divided into a low group and a high group. After t-test for two independent samples, the items whose CR value<3 were deleted [29]. The ITC analysis was used to remove items with results<0.4 [29]. In addition, the Cronbach’s α coefficient after deleting each item was calculated to determine the homogeneity of the item. If the Cronbach’s coefficient of the entire questionnaire was significantly higher after deleting an item, it was considered for deletion [29].
Psychometric evaluation
Content validity
A total of seven experts were invited to evaluate the content validity of the questionnaire supported by the content validity index of the item (I-CVI) and the content validity index of the scale (S-CVI). I-CVI is the ratio of the number of experts who ranked each item by three point or four point to the total number of experts. S-CVI is the mean of I-CVI for all items. The requirements were as follows: (a) I-CVI was 0.78 and above and (b) S-CVI was 0.90 and above [30].
Construct validity
Construct validity was evaluated by factor analysis, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). According to the factor loading value and item content in the EFA, the underlying factor structure of the questionnaire were determined. The CFA was completed by structural equation modeling in this study on the basis of EFA to verify the stability of the structure of the SMEQ-PSO. Additionally, convergent validity and discriminant validity were performed to evaluate the questionnaire’s construct validity. For convergent validity, the average variance extracted (AVE) value and the composite reliability (CR) value were used. The AVE value is greater than 0.50 and the CR value is greater than 0.80, indicating that the questionnaire has adequate convergent validity [31]. For discriminant validity, the square root of the AVE value and the factor correlation coefficient were calculated. We require that the square root of the AVE value exceed the correlation coefficient between the corresponding factors, and that the correlations be significant (P<0.001) among the factors [31].
Criterion validity
The General Self-Efficacy Scale was adopted as a criterion instrument to appraise the criterion validity of the SMEQ-PSO, as there are no other self-management tools for patients with PSO. The General Self-Efficacy Scale (GSES) was developed by Schwarzer et al. [32] in Germany. This scale contains one dimension with 10 items, answered on a 4-point scale. The higher the score, the higher the sense of self-efficacy(Cronbach’s α = 0.87).
Reliability analysis
The reliability of the SMEQ-PSO was assessed with internal consistency reliability, test-retest reliability, and split-half reliability. Cronbach’s α is frequently used to evaluate a questionnaire’s internal consistency. The Cronbach’s α coefficient and split-half reliability coefficient were calculated to evaluate item’s homogeneity. Test-retest reliability reflects the stability of the questionnaire. After 2 weeks, 25 patients completed the questionnaire again, and the correlation coefficient between the two measurements was calculated to evaluate test-retest reliability. We demand that the Cronbach’α coefficient, the split-half reliability coefficient and test–retest reliability coefficient should all be at least 0.7 [33, 34].
Data analysis
SPSS 26.0 and AMOS 24.0 were used for data analysis. Frequency and percentage were adopted to describe the sociodemographic and clinical characteristics of the study population. Item analysis was completed to evaluate and screen the items, and the expert consultation was adopted to assess the content validity of the questionnaire. Construct validity was assessed by factor analysis, including EFA and CFA. The General Self-Efficacy Scale (GSES)was used as the correlation validity of the calibration test questionnaire. The internal consistency analysis, test–retest reliability analysis and split-half reliability analysis were employed to assess the homogeneity and stability of the questionnaire.
Results
Participant characteristics
A total of 452 participants were recruited, and 440 questionnaires were finally valid (effective response rate = 97.35%). Among them, 62.3% were male, 66.8% were married, and 63.9% were employed. The age of the participants ranged from 18 to 83 years, and the mean age was 42.78 ± 14.45 years; the mean course of disease was 15.68 ± 11.49 years. Participants’ sociodemographic and clinical characteristics are shown in Table 1.
Item generation
After the literature review and semi-structured interviews, the initial draft of the SMEQ-PSO contained 44 items, which were developed from the literature (31 items) and qualitative research (13 items). Seven experts (3 dermatologists and 4 nursing specialists) assessed the content validity of the questionnaire and revised the draft of SMEQ-PSO, and the expert response rate was 100%. According to expert evaluation, except for items 10, 29 and 31, whose I-CVI were 0.71, the I-CVI of other items were above 0.80, and S-CVI of the questionnaire was 0.95. Based on item deletion criteria and experts’ comments, following group discussion, 3 items were deleted, 7 items were modified, and 2 items were added. After a preliminary survey using the revised draft of the SMEQ-PSO, all 10 patients with psoriasis reported that each item of the questionnaire was easy to understand, and they could answer based on their actual situation. The initial questionnaire with 43 items was finally developed.
Item evaluation
Item analysis was performed using CR, ITC and Cronbach’s α coefficient. In this study, CR value of the items ranged from 2.537 to 15.593. Item 5 did not meet the criteria, and was deleted. ITC coefficient ranged from 0.205 to 0.701. Items with ITC<0.4 including items 3, 5, and 19 were also deleted. The Cronbach’s α coefficient increased after item 5 was deleted. After the item evaluation, the SMEQ-PSO contained 40 items. The detailed information is shown in Table 2.
Psychometric evaluation
Content validity
As a result of expert consultation, the content validity index of the questionnaire was 0.976, and the content validity index of all items ranged from 0.80 to 1.00.
Construct validity
The value of Kaiser-Meyer-Olkin (KMO) was 0.905 and the result of Bartlett’s sphericity test was 4151.542 (P<0.001), indicating that the items of the questionnaire were suitable for factor analysis. The cumulative explained variance rate of the five-factor model was 62.039% with eigenvalues > 1, and the item factor loadings was from 0.453 to 0.831(Table 3), which meet requirements as follows:(1) the factor loading of the item ≥ 0.4, with no cross loading, and (2) each extracted common factor contains at least three items. Through five rounds of EFA, a total of 12 items were deleted from the questionnaire, which contained 28 items. Based on the content expressed by the item, five factors were created and labelled as: self-efficacy of psychosocial adaptation (8 items), self-efficacy of daily life management (8 items), self-efficacy of skin management (5 items), self-efficacy of disease knowledge management (4 items) and self-efficacy of disease treatment management (3 items).
To test the explored five-factor model, the 28 items were subjected to the CFA. As the results of CFA, the chi-square degree of freedom( χ2/df ) = 2.418, the root mean square error of approximation (RMSEA) = 0.074, the goodness-of-fit index (GFI) = 0.817, the comparative fit index (CFI) = 0.908, the incremental fit index (IFI) = 0.909, the parsimonious normed-of-fit index (PNFI) = 0.768, and the parsimonious goodness-of-fit index (PGFI) = 0.684, all of which fell in the acceptable range. The selected fitting indexes indicated that the five-factor model obtains a good degree of fitness. Thus, no items were removed from the CFA. In addition, in convergent validity analysis, the AVE values ranged from 0.515 to 0.789, all greater than 0.5, and the CR values ranged from 0.858 to 0.925, all greater than 0.8. In discriminant validity analysis, the square root values of AVE ranged from 0.718 to 0.888, all of which were greater than the correlation coefficient between the respective factors. The results are shown in Tables 4 and 5; Fig. 2.
Criterion validity
The General Self-Efficacy Scale was adopted as the criterion instrument to measure the criterion validity of the SMEQ-PSO. As a result of the correlation analysis, the correlation coefficient between the SMEQ-PSO and GSES was 0.407 (P<0.01).
Reliability
As a result of reliability analysis, the Cronbach’s α coefficient for the total questionnaire was 0.930. The Cronbach’s α coefficient for self-efficacy of psychosocial adaptation, self-efficacy of daily life management, self-efficacy of skin management, self-efficacy of disease knowledge management and self-efficacy of disease treatment management were 0.898, 0.861, 0.817, 0.709 and 0.845, respectively. The total split-half reliability coefficient of the questionnaire was 0.952(P < 0.01).The total test–retest reliability coefficient of the questionnaire was 0.768 (P < 0.01).
Discussion
An increasing body of research suggests that self-management efficacy is critical in improving the health outcomes of PSO patients, but there are few particular evaluation tools for assessing self-management efficacy among these patients [23, 35, 36]. Accordingly, it is essential to develop appropriate tool to identify and evaluate self-management efficacy among PSO patients. This study developed that the 28-item SMEQ-PSO is a reliable and valid self-report measure for assessing the self-management efficacy in PSO patients. This tool can be used to assess patients’ confidence in disease self-management and as an assessment tool for self-management interventions in clinical practice. By evaluating the self-management efficacy of patients with PSO, healthcare providers can identify the patients with low self-management and its weakness, as well as provide a basis for the follow-up implementation of effective intervention research and relevant health education.
The practicability of the SMEQ-PSO
The questionnaire developed in this study evaluated multiple aspects of PSO patients’ self-management efficacy, including self-efficacy of psychosocial adaptation, self-efficacy of daily life management, self-efficacy of skin management, self-efficacy of disease knowledge management and self-efficacy of disease treatment management. Our study took into account the main issues with current psoriasis management, which were PSO patients’ poor medication compliance, lack of attention to skin care, unhealthy lifestyle, and other concerns that needs to be resolved urgently [8, 37, 38]. These problems are reflected in the questionnaire. The content of the items was comprehensive and specific, containing not only reasonable and complete medical and lifestyle management assessment items, but also including psychosocial management content to achieve a comprehensive assessment of the overall self-management efficacy of patients with PSO. By combining self-management efficacy and the special features of psoriasis, the questionnaire overcomes the shortcomings of the universal scale due to its abstractness and low sensitivity. Additionally, the SMEQ-PSO can be understood easily, answered quickly and would be convenient for administering in a busy dermatology practice, which is to clearly and effectively evaluate the self-management efficacy of patients with PSO in disease treatment, daily life, and psychosocial aspects, as well as to understand the patients’ self-management demands. In conclusion, the SMEQ-PSO had a certain practicality in that it could thoroughly evaluate the level of self-management efficacy of patients with PSO. The application of the SMEQ-PSO in clinical practice is shown in Fig. 3.
The scientificity of the SMEQ-PSO
In the process of compiling the questionnaire, this study is based on the self-efficacy theory, in conjunction with guidelines and expert consensus on PSO, and supplemented with items from other chronic disease self-management scales to ensure that the questionnaire has a scientific theoretical basis. Semi-structured interviews with PSO patients made the content of SMEQ-PSO closer to patients and clinical. Furthermore, the items were screened and refined through expert consultation and pre-survey. The specialists participated in the expert consultation have extensive theoretical research and practical expertise in the field, ensuring the questionnaire’s logic and integrity. The recovery rate for the two rounds of expert consultation questionnaires was 100%, indicating a high level of participation by experts. We used a variety of item analysis methods to analyze and evaluate and strictly screen the questionnaire items, and the research team had several discussions combined with the professional significance of the items to ensure rigor. As a result, the SMEQ-PSO developed in this study was highly scientific.
In terms of content validity, I-CVI and S-CVI were higher than the standard value, supporting that the questionnaire had appropriate content validity [30]. The five-factor structure derived from EFA adequately explains the overall variation. Additionally, CFA further supported the expected theoretical model, and the model fitting indexes were acceptable [39, 40]. Also, the questionnaire has good convergent validity and discrimination validity as evidenced by the proper AVE and CR values and the square root of AVE values being greater than the correlation coefficient between the related variables [31]. The aforementioned data clearly proved that the SMEQ-PSO has suitable construct validity. In criterion-related validity, the high correlation between the SMEQ-PSO and the GESE also demonstrated that the questionnaire has appropriate criterion-related validity. In reliability analysis, the Cronbach’s α coefficient for the total questionnaire was 0.930, and the Cronbach’s α coefficients for the factors ranged from 0.709 to 0.898. It showed that items within five dimensions generally were associated with each other, and the questionnaire has good internal consistency [34]. The total split-half reliability coefficient of the questionnaire was 0.952, with good homogeneity and intrinsic correlation between items [34]. The total test–retest reliability coefficient of the questionnaire was 0.768, indicating an appropriate stability of the questionnaire [34]. In a word, these proved that the questionnaire had good reliability. Our study has a number of limitations that need to be paid attention to and discussed. First, even though the study’s sample size satisfies the statistical standards, a sizable multicenter sample is still worthwhile taking into account to increase sample representativeness. Second, the research was conducted only in China. Cross-cultural validation studies are necessary. Lastly, the SMEQ-PSO was used to assess its predictive effectiveness as the emphasis of our future study.
Conclusions
The 28-item five-factor SMEQ-PSO developed in our research showed good reliability and validity, which was confirmed in Chinese patients, and it could be used as an effective tool for clinical assessment and further research. It may also assist healthcare providers in assessing the level of self-management efficacy in patients with PSO and providing personalized interventions based on their individual circumstances to improve their quality of life.
Data availability
The datasets used and/or analysed during the current study are available from.
the corresponding author on reasonable request.
Abbreviations
- PSO:
-
Psoriasis
- GBD:
-
Global Burden of Disease
- SME:
-
Self-management efficacy
- SMEQ-PSO:
-
Self-Management Efficacy Questionnaire among Patients with Psoriasis
- CR:
-
Critical ratio
- ITC:
-
Item-total correlation
- I-CVI:
-
Content validity index of the item
- S-CVI:
-
Content validity index of the scale
- EFA:
-
Exploratory factor analysis
- CFA:
-
Confirmatory factor analysis
- AVE:
-
Average variance extracted
- CR:
-
Composite reliability
- GSES:
-
General Self-Efficacy Scale
- KMO:
-
Kaiser–Meyer–Olkin
- χ2/df:
-
Chi-square degree of freedom
- RMSEA:
-
Root mean square error of approximation
- GFI:
-
Goodness-of-fit index
- CFI:
-
Comparative fit index
- IFI:
-
Incremental fit index
- PNFI:
-
Parsimonious normed-of-fit Index
- PGFI:
-
Parsimonious goodness-of-fit index
References
Korman NJ. Management of psoriasis as a systemic disease: what is the evidence? Br J Dermatol. 2020;182(4):840–8.
Armstrong AW, Read C, Pathophysiology. Clinical presentation, and treatment of psoriasis: a review. JAMA. 2020;323(19):1945–60.
Mou Y, Li F, Xu Y, Jin X, Dong S, Xia J. Global trends in the incidence of psoriasis from 1990 to 2019. Eur J Dermatol. 2022;32(2):207–13.
Yamazaki F, Psoriasis. Comorbidities J Dermatol. 2021;48(6):732–40.
Kovitwanichkanont T, Chong AH, Foley P. Beyond skin deep: addressing comorbidities in psoriasis. Med J Aust. 2020;212(11):528–34.
Bulat V, Šitum M, Delaš Aždajić M, Lovrić I, Dediol I. Study on the impact of Psoriasis on Quality of Life: psychological, social and financial implications. Psychiatr Danub. 2020;32(Suppl 4):553–61.
Lesner K, Reich A, Szepietowski JC, Dalgard FJ, Gieler U, Tomas-Aragones L, et al. Determinants of Psychosocial Health in Psoriatic Patients: a multi-national study. Acta dermato-venereologica. 2017;97(10):1182–8.
Kamiya K, Kishimoto M, Sugai J, Komine M, Ohtsuki M. Risk factors for the development of Psoriasis. Int J Mol Sci. 2019;20(18).
Elmets CA, Leonardi CL, Davis DMR, Gelfand JM, Lichten J, Mehta NN, et al. Joint AAD-NPF guidelines of care for the management and treatment of psoriasis with awareness and attention to comorbidities. J Am Acad Dermatol. 2019;80(4):1073–113.
Imafuku S, Zheng M, Tada Y, Zhang X, Theng C, Thevarajah S, et al. Asian consensus on assessment and management of mild to moderate plaque psoriasis with topical therapy. J Dermatol. 2018;45(7):805–11.
Jackson K. The assessment and management of psoriasis. Nursing times. 2013.
UK NCGC. Psoriasis: assessment and management of psoriasis. 2012.
Dressler C, Lambert J, Grine L, Galdas P, Paul C, Zidane M, et al. Therapeutic patient education and self-management support for patients with psoriasis - a systematic review. J der Deutschen Dermatologischen Gesellschaft = Journal German Soc Dermatology: JDDG. 2019;17(7):685–95.
Rasmussen GS, Kragballe K, Maindal HT, Lomborg K. Experience of being young with psoriasis: self-management support needs. Qual Health Res. 2018;28(1):73–86.
Guo ML, Guo JL, Zhuo XJ, Wu YJ, Chen YD. Current status of self-management in psoriatic patients. J Diagnosis Therapy Dermato-venereology. 2018;25(5):318–20.
Murage MJ, Tongbram V, Feldman SR, Malatestinic WN, Larmore CJ, Muram TM, et al. Medication adherence and persistence in patients with rheumatoid arthritis, psoriasis, and psoriatic arthritis: a systematic literature review. Patient Prefer Adherence. 2018;12:1483–503.
Thorneloe RJ, Bundy C, Griffiths CE, Ashcroft DM, Cordingley L. Nonadherence to psoriasis medication as an outcome of limited coping resources and conflicting goals: findings from a qualitative interview study with people with psoriasis. Br J Dermatol. 2017;176(3):667–76.
Zhou XW, Kong QT, Lou YF. Progress in Self-management of patients with psoriasis. Shanghai Nurs. 2020;20(10):42–5.
Eller LS, Lev EL, Yuan C, Watkins AV. Describing self-care Self-Efficacy: definition, measurement, outcomes, and implications. Int J Nurs Knowl. 2018;29(1):38–48.
Lorig KR, Sobel DS, Stewart AL, Brown BW Jr, Bandura A, Ritter P, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care. 1999;37(1):5–14.
Matarese M, Lommi M, De Marinis MG, Riegel B. A systematic review and integration of Concept analyses of self-care and related concepts. J Nurs Scholarsh. 2018;50(3):296–305.
Committee on Psoriasis CSoD. Guideline for the diagnosis and treatment of psoriasis in China(2018 complete edition). Chin J Dermatology. 2019;52(10):667–710.
Larsen MH, Strumse YAS, Borge CR, Osborne R, Andersen MH, Wahl AK. Health literacy: a new piece of the puzzle in psoriasis care? A cross-sectional study. Br J Dermatol. 2019;180(6):1506–16.
Miniszewska J, Juczyński Z, Ograczyk A, Zalewska A. Health-related quality of life in psoriasis: important role of personal resources. Acta dermato-venereologica. 2013;93(5):551–6.
MacCallum RC, Widaman KF, Zhang S, Hong S. Sample size in factor analysis. Psychol Methods. 1999;4(1):84.
Schwab DP. Research methods for organizational studies. Psychology Press; 2013.
Sun YH, Zhang XJ, Wang AP. Research progress on self-management efficacy of psoriasis patients. Chin J Mod Nurs. 2022;28(27):3824–8.
Hsu S, Papp KA, Lebwohl MG, Bagel J, Blauvelt A, Duffin KC, et al. Consensus guidelines for the management of plaque psoriasis. Arch Dermatol. 2012;148(1):95–102.
Raykov T, Marcoulides GA. On the relationship between classical test theory and item response theory: from one to the other and back. Educ Psychol Meas. 2016;76(2):325–38.
Almanasreh E, Moles R, Chen TF. Evaluation of methods used for estimating content validity. Res Social Adm Pharm. 2019;15(2):214–21.
Kline RB. Principles and practice of structural equation modeling. Guilford publications; 2015.
Schwarzer R. Optimistic self-beliefs: Assessment of general perceived self-efficacy in thirteen cultures. World Psychol. 1997;3(1):177–90.
Frost MH, Reeve BB, Liepa AM, Stauffer JW, Hays RD. What is sufficient evidence for the reliability and validity of patient-reported outcome measures? Value Health. 2007;10(Suppl 2):94–s105.
Marques LBF, Moreira BS, Ocarino JM, Sampaio RF, Bastone AC, Kirkwood RN. Construct and criterion validity of the functional gait assessment-Brazil in community-dwelling older adults. Braz J Phys Ther. 2021;25(2):186–93.
Aktaş Karabay E, Fişek İzci N, Aksoy B. Psoriasis affects self-perception of stress negatively: a prospective, case-control study. Dermatol Ther. 2020;33(6):e13864.
Larsen MH, Strumse YS, Andersen MH, Borge CR, Wahl AK. Associations between disease education, self-management support, and health literacy in psoriasis. J Dermatolog Treat. 2021;32(6):603–9.
Onselen JV. Self-care for older people with psoriasis. Br J Community Nurs. 2018;23(5):214–7.
Roszkiewicz M, Dopytalska K, Szymańska E, Jakimiuk A, Walecka I. Environmental risk factors and epigenetic alternations in psoriasis. Ann Agric Environ Med. 2020;27(3):335–42.
Batista-Foguet JM, Coenders G, Alonso J. [Confirmatory factor analysis. Its role on the validation of health related questionnaires]. Med Clin (Barc). 2004;122(Suppl 1):21–7.
Shi D, DiStefano C, Maydeu-Olivares A, Lee T. Evaluating SEM model fit with small degrees of Freedom. Multivar Behav Res. 2022;57(2–3):179–207.
Acknowledgements
We would like to extend our sincere gratitude to all participants, head nurse of dermatology in the First Affiliated Hospital of China Medical University and nursing director of the Seventh People’s Hospital of Shenyang for their assistance and cooperation.
Funding
This work was supported by the National Natural Science Foundation of China (NO: 72104044).
Author information
Authors and Affiliations
Contributions
All authors contributed to the design of the study and data collection. Yuanhui Sun drafted the manuscript after data collection and analysis, and Aiping Wang revised it critically for important intellectual content. Xiujie Zhang and Zhen Yang also made significant contributions to the revision of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethics approval and consent to participate
All procedures were performed with the 1964 Helsinki declaration, and the study protocol was approved by the Ethics Committee of the First Hospital of China Medical University, Shenyang, Liaoning, China ([2021]433). Subjects fully understood the purpose and content of the study and had a free choice that enabled them to voluntarily agree or refuse to participate in the study and to remain confidential. All subjects gave their written informed consent.
Consent for publication
Not applicable.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Sun, Y., Zhang, X., Yang, Z. et al. Development and psychometric evaluation of a new patient -reported outcome measure for psoriasis self-management efficacy: the self-management efficacy questionnaire among patients with psoriasis (SMEQ-PSO). Health Qual Life Outcomes 21, 56 (2023). https://doi.org/10.1186/s12955-023-02134-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12955-023-02134-w