Table of Contents Author Guidelines Submit a Manuscript
Journal of Transplantation
Volume 2018 (2018), Article ID 9309486, 10 pages
Research Article

Validation of a Survey Questionnaire on Organ Donation: An Arabic World Scenario

1Cardiology Research Center, Heart Hospital, Hamad Medical Corporation (HMC), P.O. Box 3050, Doha, Qatar
2Trauma & Vascular Surgery, Hamad Medical Corporation (HMC), P.O. Box 3050, Doha, Qatar
3Hamad General Hospital (HGH), P.O. Box 3050, Doha, Qatar

Correspondence should be addressed to Rajvir Singh

Received 9 August 2017; Revised 25 December 2017; Accepted 14 January 2018; Published 8 February 2018

Academic Editor: Andreas Zuckermann

Copyright © 2018 Rajvir Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. To validate a questionnaire for measuring factors influencing organ donation and transplant. Methods. The constructed questionnaire was based on the theory of planned behavior by Ajzen Icek and had 45 questions including general inquiry and demographic information. Four experts on the topic, Arabic culture, and the Arabic and English languages established content validity through review. It was quantified by content validity index (CVI). Construct validity was established by principal component analysis (PCA), whereas internal consistency was checked by Cronbach’s Alpha and intraclass correlation coefficient (ICC). Statistical analysis was performed by SPSS 22.0 statistical package. Results. Content validity in the form of S-CVI/Average and S-CVI/UA was 0.95 and 0.82, respectively, suggesting adequate relevance content of the questionnaire. Factor analysis indicated that the construct validity for each domain (knowledge, attitudes, beliefs, and intention) was 65%, 71%, 77%, and 70%, respectively. Cronbach’s Alpha and ICC coefficients were 0.90, 0.67, 0.75, and 0.74 and 0.82, 0.58, 0.61, and 0.74, respectively, for the domains. Conclusion. The questionnaire consists of 39 items on knowledge, attitudes, beliefs, and intention domains which is valid and reliable tool to use for organ donation and transplant survey.

1. Introduction

Shortage of organs for transplantation is essentially a universal and global problem [1]. Lack of knowledge, attitudes, education, gender, occupation, bodily concerns, sociodemographic concerns, community and family beliefs and values, uncertainties regarding religious permissibility, conflict between one’s own desire and family values, and desire for reciprocal benefits are some of the reasons that impact an individual’s organ donation decision and act as barriers to the process which have been researched by America, Europe, and other countries in the world [2, 3].

Qatar is a small country in the Arab world which has a population of 2.9 million (2016) consisting of less than 40% Qatari and Middle-Eastern Arabs. Organ donation is still in early stages of development in Qatar where challenges for organ donation and transplant are unique due to diverse socioeconomic and multiethnic population. Previous survey about organ donation limited the population to health care centers, health system, and health education, and lacks of a suitable study since the launch of the Organ Transplant and Organ Donation center in 2011 and 2012 are also found to be the main limitations of the previous survey about factors affecting organ donation in Qatar [4].

Different factors impact organ donation behavior of individuals. Such factors have not been studied within the country. Therefore, a study to explore factors that impact organ donation behavior with regard to live as well as deceased donors in Qatar through well-designed questionnaire which suites the culture and language of the residents of the country is needed.

2. Methodology

Ten steps in three phases described by Alenka Slavec and Mateja Drnovesek [5] were used for questionnaire development and validation. In Phase 1, theoretical importance and existence of the questionnaire construct were performed by three steps: content domain specification, item pool generation, and content validity evaluation. In Phase 2, representativeness and appropriateness of data collection were assessed by questionnaire development and evaluation, translation and back translation, pilot study, and data collection steps, whereas in phase 3, statistical analysis and statistical evidence of the construct were assessed by construct validity and reliability assessment of questionnaire items (Figure 1).

Figure 1: A flowchart depicting the process used for validating the questionnaire for understanding factors impacting organ donation in Qatar.

A pool of potential items was selected following a multistep process including an extensive review of relevant research papers [610] and measures both within the Arab world as well as in other parts of the world interviews with experts working in the field of organ donation or organ transplant and understanding of the theory of planned behavior [11]. In the initial phase of designing the questionnaire, items were reduced from 64 to 45 following discussions with the experts in the field of organ donation (Supplementary Materials 1 and 2). This was done by removing the items that were duplicated or lacked relevance to the country’s law or cultural sensitivity. Some items were clubbed together in single question. Empirically, the “best” (i.e., most representatives, nonredundant) items were identified to assess the common underlying themes (based on theory of planned behavior). This was done for ensuring comprehensiveness and accuracy of the questionnaire.

Most of the questions in the questionnaire are closed ended and had fixed responses. However, some questions had the option of giving answers other than those that are available in the questionnaire enlisted under the title “Others (specify).” This questionnaire included sections to assess the individuals’ knowledge, attitude, belief (behavioral beliefs, normative beliefs, and control beliefs), and intentions based on theory of planned behavior (Supplementary Materials 1 and 2). The initial version of the questionnaire was peer-reviewed and refined for validation.

Flesch Reading Ease score and Kincaid Grade Level were calculated to ascertain the understandability of the questionnaire using Microsoft Word 10 proofing tool for spelling and grammar.

2.1. Coding of Items in the Questionnaire

The questionnaire was divided into 6 domains about organ donation named general inquiry; knowledge; attitudes; beliefs; intention; and demographic information. Each domain had multiple items and subitems (Supplementary Materials 1 and 2). Each item was coded “1” and “0” for yes and no or correct and wrong response to the dichotomous questions. Items having categories such as yes, no/do not know, and maybe in the questionnaire were coded as 2, 0, and 1. Five-level Likert scale, “strongly disagree,” “disagree,” “neither agree nor disagree,” “agree,” and “strongly agree,” was coded as “−2,” “−1,” “0,” “+1,” and “+2,” respectively [12]. Negatively keyed items were given reverse code. Domain score was calculated summing up all feasible items in the domain named index.

2.2. Translational Validity

The resident population of Qatar constitutes most Arabic speaking individuals. The survey questionnaire was translated into Arabic by using professional translation service, so as to ensure that the translation not only communicated meaning but was also tied to local literary forms and was culturally suitable. It was also translated by one of the investigators of the study who was well versed in English and Arabic languages. The prepared versions were compared by the project manager and discussed with the translators to come up with a proofed version. Back translation of the proofed version of the questionnaire was done for ensuring the accuracy. A new harmonized translated version was prepared for face and content validity.

2.3. Face Validity

Four bilingual experts who had good experience in the topic were identified to ascertain whether the content of the questionnaires (English and Arabic) was relevant to the study purpose and appropriate for the prevailing culture in the Arab world. The experts were able to evaluate whether the questions successfully capture the intended topic of the survey. They also assessed question construction and common errors such as leading, confusing, or double-barreled questions. The questionnaire was assessed for clarity and accuracy as a questionnaire to assess factors influencing organ donation and organ transplant, accuracy of the presentation of the subsections within the questionnaire, suitability within cultural and legal context and clarity of language used, appropriateness for a face to face household survey, comprehensiveness for a readability and feasibility of the survey questionnaire, communication of right message, and consistency of style and formatting.

2.4. Content Validity

Content validity for questionnaire was assessed by computing content validity indices based on experts’ rating of item relevance ((1) not relevant, (2) somewhat relevant, (3) quite relevant, and (4) highly relevant). I-CVI (individual level content validity), S-CVI/Average (scale level content validity index with average method), and S-CVI/UA (scale level content validity with universal average method) were calculated as they were advantageous with regard to each of computation, understandability, and focus on agreement of relevance [13]. Changes were made in the questionnaire based on the suggestions of the experts to reach a final version, which could be taken up for the study.

2.5. Construct Validity

A factor loading scale runs between −1.0 and 1.0. Principal Component Analysis (PCA) for assessing factor loading in the four domains (knowledge, attitudes, beliefs, and intention) was used to cluster items into common factors which interpret each factor according to the items loading on it and describe the items into a small number of factors (latent variables) [14]. Initial total eigenvalue reflects the number of extracted factors whose sum should be equal to number of items, which are subject to factor analysis. The higher the eigenvalue of loading, the more the factor contribution. Percentage of variance is explained by each factor and cumulative percentage is cumulative variance of the factor when added to the previous factor. Varimax rotation is used to maximize the sum of the variance. Total rotation sum of squared (squared correlation between variables and factors) loading describes variance after rotation attributable to each factor. Scree plot graph is another useful tool to determine how many factors to retain and where the curve starts to flatten. Scree plot shows the eigenvalues on the -axis and the number of factors on the -axis. Kaiser-Meyer-Olkin (KMO) values were considered for measuring sampling adequacy for each factor analysis.

2.6. Reliability

Test-retest reliability was estimated by administering the same questionnaire to the same subjects twice in the gap of 15 to 18 days [15] as a test-retest measure under an assumption that there will be no substantial change between the two scores at the two points of time [16]. Data was collected by trained research assistants hired for the research. Participants were well versed in both Arabic and English languages.

2.7. Sample Size

A sample of 5–50 subjects from the same sample frame was found sufficient to test the questionnaire [17]. A sample of 50 respondents using convenience sampling method has been taken for the validation of the questionnaire from the same population as that of the main study.

2.8. Exclusion Criteria

Domestic helpers and drivers working for and living within the household were excluded from the survey since they were not considered members of the household. As per the definition of ministry of development planning and statistics, Qatar household is defined as “one or more individuals, living together in one house, sharing food and beverage and other living aspects, in a way to form one living unit (household) which spends on its needs (goods and services) from its accumulated cash revenue, the source being one or more individuals of the household” [18]. Vulnerable population was also excluded from the study. Vulnerable population in the present study is based on guidelines offered by the Supreme Council of Health; Qatar constitutes vulnerable category of subjects in research, such as children, prisoners, pregnant women, or mentally disabled persons. These are regularly reviewed by the Institutional Review Board (IRB) [19].

2.9. Consent

Written consent was obtained from all the participants after sharing with them the relevant information with regard to the study, confidentiality of their identity, and how the data would be used. A standardized information sheet that included all these details was read out to the participants before consent.

2.10. Statistical Analysis

Two research team members who worked together while entering coded data into the spreadsheets and checking the accuracy of the data entered cleaned the collected data for analysis. Once prepared, the spreadsheets were checked once again for accuracy.

Felsch Reading Ease score and Felsch Kincaid Grade Level were calculated for readability and ease of understandability of the questionnaire. Demographic variables were summarized in terms of frequency and percentages. Content validity was performed to see relevance of the questionnaire. Construct validity was measured in the form of factor analysis using principal factor method with Varimax rotation method to test the hypothesized domain structure [20]. Kaiser-Meyer-Olkin (KMO) value of 0.8 and above was used to ensure appropriate sample size for factor analysis. The Kaiser criterion to select factors having eigenvalue ≥1 and scree plot to depict the descending variances for factors extraction in the form of graph have been presented. Eigenvalue 1 and above is considered to explain at least the same amount of variance as a single variable into factor analysis. Internal consistency and reproducibility were performed for reliability of the questionnaire. Cronbach’s α coefficient was used to see homogeneity of question items in each domain index for internal consistency. Coefficient 0.7 and above is considered to be internally consistent for the questionnaire [21]. Each domain score in the form of index variable at pre- and postlevel was also calculated using intraclass correlation [22]. value 0.05 (two-tailed) is considered as significant level. SPSS 22.0 statistical package is used for the analysis.

3. Results

Table 1 describes frequency and percentages of the demographic and general characteristics of the subjects. All the 50 subjects were more than 18 years of age and had resident permit of Qatar or were Qatari citizen. Male to female ratio was 22 : 28. 86% participants of the survey were non-Qatari. Most of them, 37 (74%), had educational level of higher secondary and graduation. 49 out of 50 (98%) had heard the term organ donation. Word of mouth (76%), newspaper (58%), and television (52%) were found to be prominent facilities for hearing about organ donation. Only 10% of the participants had attended organ donation promotion campaigns in Qatar before the interview. 42 (84%) subjects said that meaning of organ/tissue/blood was either transfer of tissues or organ from dead body or transfer of tissues/blood/organs from a living donor to a patient in need. 47 (94%) subjects agreed that kidney can be donated, whereas number and percentages of participants who agreed that blood, heart, liver, cornea of eyes, and bone marrow could be donated were 43 (86%), 31 (62%), 34 (68%), and 36 (72%), respectively. Coding and description items of the questionnaire are given in Table 2.

Table 1: Demographic and general characteristics.
Table 2: Description of questionnaire items/constructs.

Readability statistics were calculated for the questionnaire to ascertain the understandability of the questionnaire for people of different educational levels. The Felsch Reading Ease score of the questionnaire was 69.9 which indicated that the language used in the questionnaire was plain English which could be easily understood by 13- to 15-year-old students. Felsch Kincaid Grade Level for the questionnaire was 5.6, which also indicated that the questionnaire would be understandable for anyone with a grade five education and above.

Content validity was measured for comprehensiveness and representativeness of the content of a scale. A 4-point content validity index (CVI) on behalf of judgement of 4 experts was evaluated in the form S-CVI/Average and S-CVI/UA indices. Our study showed value 0.95 for S-CVI/Average and value 0.82 for S-CVI/UA, whereas total agreement was 32 for 39 items suggesting adequate questionnaire relevance.

Factor analysis was used for determining the construct validity for each domain (knowledge, attitudes, beliefs, and intention) separately. Kaiser-Meyer-Olkin (KMO) values were ≥0.80 for all the four domains. Total variance explained for knowledge, attitude, beliefs, and intension domains was 65%, 71%, 77%, and 70%, respectively. It was demonstrated by scree plots also. Results suggested good construct accuracy of the questionnaire (Tables 3, 4, 5, and 6 and Figures 2, 3, 4, and 5).

Table 3: Factor analysis knowledge domain: construct validity.
Table 4: Factor analysis attitude domain: construct validity.
Table 5: Factor analysis beliefs domain: construct validity.
Table 6: Factor analysis intention domain: construct validity.
Figure 2: Scree plot for knowledge domain: construct validity.
Figure 3: Scree plot for attitude domain: construct validity.
Figure 4: Scree plot for beliefs domain: construct validity.
Figure 5: Scree plot for intention domain: construct validity.

Cronbach’s Alpha was used to assess factor loading and check whether questions within a given section point back to the same elements and load into the same factors. The scores obtained for all the items within the four sections of knowledge, attitude, belief, and intention on Cronbach’s Alpha were 0.90, 0.67, 0.75, and 0.74, respectively, and fell under acceptable limit of 0.60–1.00 in turn indicating a good level of internal consistency within the different domains (Table 7).

Table 7: Internal consistency and test-retest validity of questionnaire domains indices.

Intraclass correlation coefficient (ICC) was calculated for knowledge, attitude, belief, and intention sections using the scores obtained in the pre- and postmeasures. The correlation coefficient scores being 0.82, 0.58, 0.61, and 0.74 for the four scales were all found to be highly significant at 0.001 levels suggesting adequate test-retest validity of the questionnaire (Table 7).

4. Revising the Survey

The survey was slightly revised based on the information gathered from the experts for grammar and spellings of the questionnaire before collecting data.

5. Discussion

The questionnaire was based on theory of panned behavior by Ajzen Icek which was developed and validated as a new tool for measuring factors influencing organ donation and transplantation in Arabic world scenario for the first time. Overall results demonstrated that questionnaire is an accurate measure of organ donation and transplant survey. The process of questionnaire validation is rigorous where face and content validity helped to assess whether content of questionnaire was relevant to the survey. Factor analysis also justified for theoretical construct of the questionnaire. Internal consistency was on recommended level, whereas test-retest indicated stability of the survey use over time. Therefore, organ donation and transplant questionnaire are useful for the survey.

6. Conclusion

Organ donation and transplant questionnaire is valid and reliable tool to use in Arabic and other wider range of population; however, it is recommended that confirmatory factor analysis on larger sample may be useful for the generalizability.

7. Limitations

Only four experts had been recruited in the present study for content validation. Content validity is usually done by 7 or more experts as suggested by some studies [13, 14]. However, in one of the published studies, three experts also had been recruited for evaluating content validity [23]. Convenience sampling method has been used for data collection, where nationality was controlled according to distribution of the population. Calculated indices in the study could not be compared as no related review of literature was available on validation of the organ donation questionnaire. Total variance explained is the most important in development of a questionnaire; hence, items loadings for each component for each factor analysis have not been described in tables.

Ethical Approval

The study was approved by IRB, Medical Research Centre (MRC), HMC (no. 14227/14).


The funders had no role in the study design, data collection and analysis, and decision to publish. The paper has been presented in the form of poster at European Organ Donation Congress held at Barcelona, Spain, 28-29 October 2016.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this article.


This study was sponsored by Qatar National Research Fund (QNRF), Government of Qatar, under National Priority Research Proposal (NPRP-7-965-3-247). The authors appreciate all support rendered by MRC and contribution of participants and staff in the study.

Supplementary Materials

Supplementary 1. Questionnaire in English.

Supplementary 2. Questionnaire in Arabic.


  1. Y. Shimazono, “The state of the international organ trade: A provisional picture based on integration of available information,” Bulletin of the World Health Organization, vol. 85, no. 12, pp. 955–962, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. A. F. Ralph, A. Alyami, R. D. M. Allen et al., “Attitudes and beliefs about deceased organ donation in the Arabic-speaking community in Australia: A focus group study,” BMJ Open, vol. 6, no. 1, Article ID e010138, 2016. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Morgan, C. Kenten, S. Deedat et al., “Increasing the acceptability and rates of organ donation among minority ethnic groups: a programme of observational and evaluative research on Donation, Transplantation and Ethnicity (DonaTE),” Programme Grants for Applied Research, vol. 4, no. 4, pp. 1–196, 2016. View at Publisher · View at Google Scholar
  4. H. El-Shoubaki, A. Bener, and Y. Al-Mosalamani, “Factors influencing organ donation and transplantation in State of Qatar,” Transplantationsmedizin: Organ der Deutschen Transplantationsgesellschaft, vol. 18, no. 2, pp. 97–103, 2006. View at Google Scholar · View at Scopus
  5. A. Slavec and M. Drnovesek, “A perspective on scale development in entrepreneurship research,” Economic and Business Review, vol. 14, no. 1, pp. 39–62, 2012. View at Google Scholar
  6. C. A. Rocheleau, “Organ donation intentions and behaviors: application and extension of the theory of planned behavior,” Journal of Applied Social Psychology, vol. 43, no. 1, pp. 201–213, 2013. View at Publisher · View at Google Scholar
  7. M. K. Hyde and K. M. White, “Disclosing donation decisions: The role of organ donor prototypes in an extended theory of planned behaviour,” Health Education Research, vol. 24, no. 6, pp. 1080–1092, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. I. Topic, T. Brkljacic, and G. Grahovac, “Survey of medical students about attitudes toward organ donation,” Dialysis & Transplantation, vol. 35, no. 9, pp. 1–7, 2006. View at Google Scholar
  9. K. Resnicow, A. M. Andrews, N. Zhang et al., “Development of a Scale to Measure African American Attitudes toward Organ Donation,” Journal of Health Psychology, vol. 17, no. 3, pp. 389–398, 2012. View at Publisher · View at Google Scholar
  10. A. Holman, Development of a scale to measure the attitude toward posthumous organ donation for transplantation in Romania, 2012.
  11. I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, 1991. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Zaidan, R. Singh, M. Wazaify, and L. Tahaineh, “Physicians’ perceptions, expectations, and experience with pharmacists at Hamad Medical Corporation in Qatar,” Journal of Multidisciplinary Healthcare, vol. 4, pp. 85–90, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. D. F. Polit, C. T. Beck, and S. V. Owen, “Focus on research methods: is the CVI an acceptable indicator of content validity? Appraisal and recommendations,” Research in Nursing & Health, vol. 30, no. 4, pp. 459–467, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Bryman and D. Cramer, Quantitative data analysis with SPSS12 and 13. A Guide for Social Scientists, Taylor & Francis, Abingdon, UK, 1996. View at Publisher · View at Google Scholar
  15. E. Bere and L. A. Bjørkelund, “Test-retest reliability of a new self reported comprehensive questionnaire measuring frequencies of different modes of adolescents commuting to school and their parents commuting to work - The ATN questionnaire,” International Journal of Behavioral Nutrition and Physical Activity, vol. 6, article no. 1479, p. 68, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. M. L. McHugh, “Interrater reliability: the kappa statistic,” Biochemia Medica, vol. 22, no. 3, pp. 276–282, 2012. View at Google Scholar · View at Scopus
  17. N. Mathers, N. Fox, and A. Hunn, Surveys and Questionnaires. The NIHR RDS for the East Midlands/Yorkshire & the Humber. The NIHR Research Design Service for Yorkshire & the Humber, 2007.
  18. MDPS Announces Household Income and Expenditure Survey results, Ministry of Development, Planning and Statistics. 2014
  19. Qatar Supreme Council of Health. (2009). Policies, regulations and guidelines for research involving human subjects.
  20. A. P. Field, Discovering Statistics Using SPSS, Sage Publications, London, UK, 2005. View at Publisher · View at Google Scholar
  21. D. Polit and B. Hungler, Nursing Research: Principle and Method, Lippincott Company, Philadelphia, Penn, USA, 6th edition, 1999.
  22. H. A. DeVon, M. E. Block, P. Moyle-Wright et al., “A psychometric toolbox for testing validity and reliability,” Journal of Nursing Scholarship, vol. 39, no. 2, pp. 155–164, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. H. Wei and G. Xu, “Research on objectifying pulse examination from overall, dynamic and balanced view of traditional Chinese medicine,” Journal of Traditional Chinese Medicine, vol. 55, no. 1, pp. 25–27, 2014. View at Google Scholar