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Adaptation and validation of the HIV Knowledge Questionnaire-18 for the general population of Indonesia

Health and Quality of Life Outcomes volume 20, Article number: 55 (2022) Cite this article

Abstract

Background

Despite a global decline in new HIV/AIDS cases in low-middle countries, cases are increasing in Indonesia. Low knowledge about the disease among the general population is one of the major factors responsible for this trend. Indonesia does not have a validated instrument to assess HIV/AIDS knowledge. The HIV Knowledge Questionnaire-18 (HIV-KQ-18) has been translated into several languages and is one of the most extensively used instruments for assessing HIV/AIDS knowledge. This paper describes the process of adapting and validating the HIV-KQ-18, an instrument to assess the level of HIV/AIDS knowledge in the general population of Indonesia.

Methods

In the adaptation phase, feedback for the initial Bahasa Indonesia version was gathered from two HIV activists, an obstetrician, two general practitioners, and 60 pilot participants. At the validation stage, we distributed the instrument link via Google Form to 6 major regions in Indonesia. Validity was measured using known-group validity and construct validity. The construct validity was assessed using an exploratory factor analysis (EFA) with a polychoric correlation matrix. Cronbach’s alpha was used to analyze the internal consistency.

Results

Based on the findings in the adaptation phase, additional descriptions (namely synonyms or examples) were added to 6 items to make them more understandable. In the validation phase, 1,249 participants were recruited. The a priori hypothesis in known-group validity was supported. We also found three items that did not meet the construct validity. Based on the acceleration factor approach to interpret the scree tree in the factor analysis, using only two factors was preferable. Cronbach's alpha values were 0.75 and 0.71 representing good internal reliability.

Conclusion

The HIV-KQ-18 Bahasa Indonesia is considered a valid and reliable instrument to assess the level of HIV/AIDS knowledge in Indonesia.

Introduction

The Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS) remain a major global health crisis and the intense efforts in international and local initiatives are continuing to mobilize resources to fight the HIV/AIDS pandemic [1]. The Joint United Nations Programme on HIV/AIDS (UNAIDS) estimates that in 2019 there were 38.0 million people infected with HIV worldwide, and 36.2 million of them were adults (more than 15 years). Additionally, it is estimated that there are currently around 7.1 million people who are not conscious that they have been infected with HIV [2]. The millennium development goals (MDGs) initiated a concerted global effort to resolve the increasing spread of HIV/AIDS [3]. There is an urgent need to develop more proactive programs with prevention education to stem the rising incidence of HIV, and the global community needs to re-evaluate the MDGs’ progress across all world regions.

The majority of HIV patients live in low to middle-income countries such as Indonesia [4]. In Indonesia, at the end of 2018, the number of people with HIV/AIDS was 640,000 cases of which 46,000 were new cases [5]. The top five provinces with the highest number of HIV/AIDS patients are DKI Jakarta, East Java, West Java, Papua, and Central Java [6]. The number of deaths due to HIV/AIDS increased by around 60% from 24,000 to 38,000 between 2010 and 2018 [5].

The results of a study (RISet KESehatan DASar/RISKESDAS) conducted by the Ministry of Health of the Republic of Indonesia reported that one of the main factors causing the increase in the number of HIV cases in Indonesia is the low level of knowledge of HIV/AIDS [7]. Behavioral change provides the ultimate and cheapest protection against HIV infection since no cure nor vaccine are available for HIV, and people with less HIV knowledge are more likely to engage in more risky sexual behaviors [8]. The Ministry of Health mapped the level of knowledge of Indonesians based on the 34 provinces in Indonesia in 2018. Based on this mapping, the level of knowledge of HIV/AIDS in Indonesia was still very low: 67% scored below standard (< 7 of 21 points) and only 1% scored high-level knowledge (> 16 of 21 points) [7]. However, this report did not specify the type of instrument used to measure the level of knowledge.

HIV-KQ-18 is available in many languages and already implemented in other settings, such as Spanish, Greek and Indonesia [9]. Two studies in Indonesia have used the HIV-KQ-18 instrument to assess the level of knowledge in Indonesia. These two studies focused on specific communities, namely on 120 women living with HIV/AIDS in Lampung [10] and 396 nurses who worked in four hospitals in Jakarta [11]. However, neither of these studies performed or reported a psychometric test of the HIV-KQ-18, except for the study in Lampung reporting only on the reliability test with Cronbach’s alpha [10]. No studies exist to fully adapt and validate this instrument for the Indonesian general adult population.

The HIV-KQ-18 instrument has been proven to be a valid (good internal consistency, Cronbach’s alpha at 0.75—0.89), stable, sensitive, and appropriate instrument for all people including low-literacy populations [12]. An instrument to assess the HIV/AIDS knowledge level is important to indicate in which specific aspects the public needs to improve, to develop content for effective campaigns, and to assess the knowledge trend from time to time as an indicator to measure the success of an HIV campaign. Therefore, the study aimed to conduct an adaptation, validation, and psychometric test of the HIV-KQ-18 instrument on a general adult population in Indonesia.

Methods

Research design

The study used a cross-sectional design. Data were collected from September 2020 to January 2021. The study was approved by the Research Ethics Committee of Universitas Ahmad Dahlan, Yogyakarta, with ethical approval number 012007028 on 22 September 2020 and was divided into two main phases, adaptation and validation.

Instrument

The instrument consisted of sociodemographic characteristics and the HIV-KQ-18 instrument. HIV-KQ-18 is the short version of HIV-KQ-45 [9, 13]. Permission to translate the HIV-KQ-18 instrument was obtained from Prof. Michael P. Carey, PhD (Director, Centers for Behavioral and Preventive Medicine, The Miriam Hospital) on February 11, 2020. The HIV-KQ-18 instrument is more focused on how to prevent infection and transmission of HIV/AIDS. This instrument consists of 18 items, and each item has 3 options, namely “true”, “false” or “don’t know”. Five items (no 1, 4, 11, 14, 17) are true statements, while the other 13 items are false. The correct response is scored 1, while 0 is used for wrong or “don’t know” responses.

We collected sociodemographic data included gender, age, occupation, education level, marital status and monthly expenses. We asked for monthly expenditure data instead of monthly income since participants indicated that they were more comfortable reporting expenses than income. Participants were classified concerning having an educational background in health sciences (medicine, pharmacy, nursing, midwifery, and public health) and whether they had attended a workshop about a HIV/AIDS education. To maintain confidentiality, participants were given the right to only write their name initials and age. Only researchers had the right to access the dataset.

Cross-cultural adaptation and validation

Indonesian researchers conducted a literature review and agreed to continue the study of the HIV-KQ-18 instrument's validation with several caveats, including: (i) Indonesia does not yet have a validated instrument that can be used to assess HIV/AIDS knowledge; and (ii) there are some very interesting questions that need to be explored further, such as condom knowledge and the method of transmitting HIV/AIDS. Based on our findings and experiences, these two themes are still relatively rarely discussed in public. The original HIV-KQ-18 instrument was translated to Bahasa Indonesia using a forward–backward translation. As a result, the Indonesia research team is continuing to adaptation processes.

The research team consists of scientists and professionals in the fields of HIV, health, and psychometrics study. There are nine Indonesian authors in the team and their origins also represent three regions of Indonesian (West, Central and East Indonesia). Five authors are from Western Indonesia (MRR, Z, DAP, RN, and RSP), three authors from the Central Region (BA, MM, and MNM), and one author from the Eastern Region (SR). Because of the various dialects in each region, this representation can reduce the chance of bias or ambiguity. In addition, DAP and BA are Indonesian researchers who have conducted similar studies several times. Furthermore, all Indonesian authors are lecturers, and lecturers in Indonesia are required to 'do community service.' The majority of them have taken part in HIV/AIDS education programs for the community, particularly for middle and high school teachers and students. Several of the authors have conducted at least one similar study (some are in the process of submitting manuscripts and some are in the process of collecting data).

Some psychometric study components, such as content validity, face validity, and construct validity [14,15,16], were investigated in this study. As illustrated in Fig. 1, an expert panel analyzed and consolidated the Indonesian translation of the original version in order to obtain consensus on inconsistencies and produce a version 1 for field testing to 60 participants. At the end of the instrument, we added a question “Out of the 18 items, which statement was the most difficult or took a long time to answer?”. This question was used to identify additional obstacles by participants to understand the HIV-KQ-18 Bahasa Indonesia instrument.

Fig. 1
figure 1

Adaptation and validation of HIV-KQ-18 for Indonesian population

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Participants

Participants were Indonesians at least 17 years old, who consented to participate in the study. Participants involved in the study were sampled from six of Indonesia's main regions, namely: Sumatra, Java, Sulawesi, Kalimantan, 'Bali and Nusa Tenggara', and 'Maluku and Papua'. It is important to highlight that the 'research site' in this study refers to the participant's domicile location (district and province) as submitted on the online link that we distributed.

Sample size

The sample size calculation was based on a study suggesting at least 100 participants should be the minimum limit for psychometric study [17]. Two previous studies stated that the minimum number of participants should be 200 if the number of items in the instrument is not more than 40 [18, 19]. Another study recommends that the minimum number of participants involved in a psychometric study should be the number of items in the instrument to be validated multiplied by ten [20]. Accordingly, the minimum number of participants for each region included in the study is 180 (18 items × 10). Ergo, the minimum total of participants in this study was set at 1080 (180 × 6) participants.

Data collection

The initial Indonesian version of HIV-KQ-18, after forward and backward translations, was evaluated by the Indonesian research team. After obtaining ethical clearance, in the adaptation phase we requested feedback for the initial version of the HIV-KQ-18 from HIV activists, an obstetrician, general practitioners and 60 pilot participants (10 participants from each region). Feedback was reviewed by the Indonesian research team to develop the final version of HIV-KQ-18 Bahasa Indonesia.

In the validation phase, we distributed the online link of the final version of HIV-KQ-18 Bahasa Indonesia through several social media from 29 September 2020 to 6 April 2021, namely: WhatsApp, Facebook inbox, email, Instagram, and Twitter. If participants joined through various media, we removed the duplicate participants based on the initials and date of birth. Figure 1 provides an overview of the study procedure.

Data analysis

During the adaptation phase, we discussed all of the participants’ suggestions. Furthermore, the Indonesian core research team compiled and analyzed the pilot data for the best choice of words and word order in one single sentence (item) through consensus. Notably, whenever differences emerged in this phase, these issues were resolved by consensus.

Participants’ characteristics in the adaptation phase were analysed descriptively. Item analysis was conducted by calculating the percentage of the correct answers of each item and corrected item-total correlation. Items with the percentage of correct answers being between 30 and 80% were considered appropriate [21], because it avoids floor and ceiling effects and allows for additional scores to capture knowledge gains after an education program. Items with a corrected item-total correlation lower than 0.3 were considered to indicate that the items were candidates for deletion [22]; however, an item with a corrected item-total correlation higher than 0.25 was still considered acceptable.

Validity and reliability tests were used to analyze the psychometric properties of HIV-KQ-18 Bahasa Indonesia. Cronbach’s alpha was used to analyze the internal consistency, and a Cronbach’s alpha of higher than 0.7 is considered as a reliable instrument [22].

Validity was measured using known-group validity and construct validity. Known-group validity was determined by comparing the HIV knowledge between participants based on four variables, namely education level, educational background, experience in attending a workshop about HIV and monthly expenses. Previous studies conducted in the Asian general population have demonstrated that different subgroups based on education levels [23,24,25,26,27,28,29], HIV education [28] and socioeconomic status [23, 24, 27,28,29] have different HIV knowledge levels. Therefore, the a priori hypothesis was made that participants with higher education level, educational background in health sciences, experience in attending a workshop about HIV and higher monthly expense had significant higher HIV knowledge than participants with lower education level, without educational background in health sciences, never experience in attending a workshop about HIV and lower monthly expense. The difference of HIV knowledge levels was assessed using an independent t-test for a variable with two subgroups, while ANOVA test for comparing HIV knowledge for a variable with more than two subgroups. If the result from ANOVA was significant, a post hoc analysis was carried using a Bonferroni test.

HIV-KQ-18 has dichotomous options; therefore, an exploratory factor analysis (EFA) using a polychoric correlation matrix was conducted to assess the construct validity [30, 31]. Muñoz-Quezada et al. (2021) used polychoric correlation to conduct factor analysis when validating an instrument with dichotomous options to measure the perception and knowledge about exposure to pesticides [32]. To eliminate the subjectivity in interpreting the scree plot, the number of factors that could be retained was determined based on eigenvalues, parallel analysis, optimal coordinates, and acceleration factor. If these parameters had different recommendations regarding the number of factors to be retained, other considerations were applied in which a factor should have at least 3 items [20] and the possibility of underlying factors to be interpreted. Goodness of fit was assessed using the root mean square of residuals (RMSR) and the Root Mean Square Error of Approximation (RMSEA). A factor loading of 0.4 or higher is required to indicate a good relationship between each item and underlying factor [20].

All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS) version 26 (IBM Corp, Armonk, New York, USA), except for the EFA that was analyzed in R version 4.1.0 and RStudio Version 1.4.1717 using packages of polycor, nFactors and psych. The level of statistical significance was set at p < 0.05. Atlas.ti (Scientific Software Development GmbH, Berlin, Germany) was used to analyze the feedback from the participants regarding the most difficult item in responding to the HIV-KQ-18 Bahasa Indonesia.

Results

Participant characteristics

In total, 1,249 participants were recruited from six regions in Indonesia during the validation phase. All participants were those in the productive age range, predominantly females, with the majority of participants' monthly expenses being < 2 million rupiah (USD 137). The details of the sociodemographic characteristics of the participants are presented in Table 1.

Table 1 Participants’ characteristics
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Adaptation

After collecting feedback from participants during the adaptation phase, Table 2 indicates some improvements in the sentence structures or word selections. In total, there were 6 (six) items to which adjustments were made. The language patterns were adjusted by changing word selection, adding synonyms, or giving an example so that the item's context could be correctly interpreted by a broader range of participants. For example, some participants were more familiar with the term “climax”, while others did not understand that word and were more familiar with the term “orgasm”; therefore, we added the Indonesian term for orgasm.

Table 2 Revision of HIV-KQ-18 items according to adaptation phase
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Item analysis

Item number 14 was answered correctly by nearly all the participants (97.1%) (Table 3). On the other hand, based on our analysis, item number 12 was the most difficult item with less than 30% of participants correctly answering this item. This finding was in line with our Atlas.ti review that the fewest participants reported item number 14 as the most difficult statement to answer while the items about condoms (including item number 12) were the most difficult, according to participants. The other 16 items were acceptable since the percentage of correct answers was between 30 and 80%. Four items (no 4, 11, 14, and 17) had corrected item-total correlation lower than 0.3, and only two items (no 11 and 17) were lower than 0.25.

Table 3 Item analysis of HIV-KQ-18 Bahasa Indonesia
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Validation

Based on known-group validity, the HIV knowledge of participants with bachelor (11.0 ± 3.9) and postgraduate (13.1 ± 3.6), educational background in health sciences (12.0 ± 3.6), experience in attending a workshop about HIV (11.9 ± 3.8) and higher monthly expense > 5 million (12.2 ± 3.9) had significant higher HIV knowledge than participants with education level up to senior high school (9.6 ± 4.2), without educational background in health sciences (9.7 ± 4.2), never experienced attending a workshop about HIV (10.3 ± 4.0) and monthly expense (2 million (10.5 ± 4.0) (Table 4).

Table 4 Known-group validity of HIV-KQ-18
Full size table

In the EFA, based on eigenvalues, 5 factors could be retained, only 3 factors based on parallel analysis and optimal coordinates, while 2 factors based on acceleration factor (Fig. 2). However, the interpretation of 3 or 5 factors was very difficult and some items were cross-loading. Furthermore, in the model with 5 factors, one factor only had 1 item. Therefore, two factors, with each contained of 9 items, were retained from the EFA with RMSEA value of 0.133 and RMSR value of 0.06. No item had loading factors lower than 0.30. Three items (no 8, 9, 17) had a loading factor higher than 0.30 in both factors. The details of the EFA are presented in Table 5.

Fig. 2
figure 2

The non-graphical solution of Scree plot to determine the number of factors to be retained

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Table 5 Factor analysis of HIV-KQ-18 Bahasa Indonesia
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The Cronbach’s alpha value of the first factor was 0.75, while the second factor was 0.70. These indicated these two factors had good reliability.

Participants' statements about the most difficult item to answer

Of the 1,249 participants, 915 participants (73% response rate) responded to the question regarding which items were the most difficult to answer. It was important to highlight that most of the participants mentioned more than 1 item. Nearly half of the participants (45%) said the questions regarding condoms (items 11, 12 and 18) were the most difficult for them to answer (Fig. 3). Furthermore, 11% of those who answered said that the questions about the HIV/AIDS incubation period (items no 6, 7, and 15) were also difficult to answer. The most common reason given was a lack of HIV/AIDS education. Other findings in the study were 149 participants (16.3% from 915) stated that the instrument was very useful for determining a person's level of HIV/AIDS awareness because (i) to answer correctly, this instrument had to be read properly; and (ii) the sentence structure for each item was simple, clear and easy to understand.

Fig. 3
figure 3

Questions which were the most difficult for participants to answer according to Atlas.Ti analysis

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Discussion

Our findings suggest that the HIV-KQ-18 Bahasa Indonesia is a reliable and valid instrument for use in a general Indonesian population. The instrument's adaptation phase indicates that adding a few words or examples to explain the context of each item is extremely beneficial to participants' understanding. This approach has also been applied in other adaptation and validation studies in Indonesia [33, 34]. Furthermore, based on factor analysis, we preferred to use two factors based on visual inspection of the scree tree.

This study is the first HIV-KQ-18 Bahasa Indonesia psychometric test study in Indonesia. Our results show that our adaptation test has expanded the use of the instrument in a broader general population compared to previous studies that used the instrument only for nurses [11] or people living with HIV [27]. In addition, participants were given an opportunity to report which statements were the most difficult for them. The majority of participants reported difficulty in responding to items regarding condoms, while others confessed to knowing little about HIV/AIDS. Other than sexual intercourse, some participants have ambiguity on how HIV/AIDS is transmitted and how to reduce the risk of getting HIV/AIDS. In the study, 97% of participants correctly answered item number 14, indicating that the majority of participants believed that HIV/AIDS is closely linked to sexual activity with more than one partner. However, more than half of the participants still believe that deep kissing with a partner with HIV did not transmit HIV, and using Vaseline or baby oil can be used with condoms to lower the risk of getting HIV.

HIV-KQ-18 Bahasa Indonesia can differentiate the HIV knowledge levels of participants according to education level, educational background, having experience attending a workshop about HIV and monthly expenses. Participants with higher education level, educational background in health sciences, experience in attending a workshop about HIV and higher monthly expense significantly had higher HIV knowledge than participants with lower education level, without educational background in health sciences, never experience in attending a workshop about HIV and lower monthly expense. These findings support the a priori hypothesis and known-group validity.

For construct validity, different considerations lead to different number of factors to be retained. We decided to retain 2 factors although the original version HIV-KQ-45 suggested only 1 factor [13]. The first factor tends to focus on the HIV transmission outside sexual intercourse, excepts 2 items, namely “taking a test for HIV one week after having sex will tell a person if she or he has HIV” and “there is a female condom that can help decrease a woman's chance of getting HIV”. On the other hand, the second factor describes about HIV transmission due to sexual intercourse, except 1 item “a person will not get HIV if she or he is taking antibiotics. The RMSEA value is indicated that the model has low goodness of fit but the RMSR value is closed to 0.05 indicated the model has acceptable validity. We assume that the structural validity of the HIV-KQ18 is acceptable, although further investigation is necessary. The corrected item-total correlation shows that questions number 4, 11, 14, 17 had a corrected item-total correlation lower than 0.3. The questions are related to the type of sexual intercourse, the use of female condom and change of sex partner which may be uncommon in our country. The culture, law and religion in Indonesia, also support the normal sexual intercourse with single partner. Based on this situation, we recommend to supervise the participant during the application of this instrument in the future research.

Three items had cross loading factors between 2 factors. Since the development of HIV-KQ-18 also mandates that the instrument should also include items regarding sexual risk behaviours [13]; therefore, we suggest that these items need more explanations. For example, item no 17 needs more information about the meaning of “oral sex”. If this instrument is used as self-assessment instrument, a synonym of oral sex should be added to this item. If this instrument used as a part of interview, the interviewer should add an explanation about the meaning of oral sex.

Our study has both strengths and limitations. The strengths of the study are that it is the first adaptation and validation study of HIV-KQ-18 with over 1,000 participants from all main islands in Indonesia, and data collection was obtained from six main regions in Indonesia. The study provides evidence of validity and reliability in the range of participants' educational backgrounds from low to high educational background. The limitation of the study is that since the instrument was distributed through an online link, there is a potential participant bias that people with lower education and poor literacy levels would not participate in it. This is indicated by most participants are people with a bachelor degree, while only 25.2% of participants have an educational background of up to senior high school. Since people with poor literacy levels may have lower knowledge about HIV/AIDS, our findings may be slightly higher than the real public knowledge of HIV/AIDS. However, the study covered the two age groups with the largest number of people infected with HIV in the last ten years, i.e. 25–49 years (roughly 70%) and 20–24 years (roughly 15%) [35]. Further studies are proposed to use the instrument in paper form to target participants with low literacy levels, especially those who are not connected to the internet or have low educational levels.

Conclusions

Based on psychometric analysis, HIV-KQ-18 Bahasa Indonesia is a valid and reliable instrument to assess the level of HIV/AIDS knowledge in the Indonesian population. We encourage the use of this standard instrument in future research and its use as a reference for measuring HIV knowledge.

Availability of data and materials

The first and the corresponding author can be contacted for data for research purposes.

Code availability

All data analysis software used in the study is licensed from the University of Groningen in the Netherlands.

References

  1. Govender RD, Hashim MJ, Khan MA, Mustafa H, Khan G. Global epidemiology of HIV/AIDS: a resurgence in North America and Europe. J Epidemiol Glob Health. 2021;11:296–301.

    Article  Google Scholar 

  2. UNAIDS. Global HIV & AIDS statistics—2020 fact sheet. Jt. United Nations Program. HIV/AIDS. 2021. https://www.unaids.org/en/resources/fact-sheet.

  3. Mabaso MLH, Zama TP, Mlangeni L, Mbiza S, Mkhize-Kwitshana ZL. Association between the human Development index and millennium development goals 6 indicators in sub-Saharan Africa from 2000 to 2014: Implications for the new sustainable development goals. J Epidemiol Glob Health. 2018;8:77–81.

    CAS  Article  Google Scholar 

  4. WHO. Key facts HIV/AIDS. World Heal. Organ. 2021. https://www.who.int/news-room/fact-sheets/detail/hiv-aids#:~:text=There were an estimated 37.7,2.0 million%5D people acquired HIV.

  5. UNAIDS. Indonesia. United Nations Program. HIV/AIDS. 2019. https://www.unaids.org/en/regionscountries/countries/indonesia.

  6. Humas_Provinsi_Jawa_Tengah. Jateng 5 Besar Provinsi Kasus HIV Tertinggi di Indonesia. Pemerintah Provinsi Jawa Teng. 2019. https://humas.jatengprov.go.id/detail_berita_gubernur?id=3722.

  7. Kementrian_Kesehatan_RI. Pengetahuan tentang HIV/ AIDS menurut provinsi. 2018. https://www.kemkes.go.id/resources/download/info-terkini/hasil-riskesdas-2018.pdf.

  8. Peteet B, Staton M, Miller-Roenigk B, Carle A, Oser C. Rural incarcerated women: HIV/HCV knowledge and correlates of risky behavior. Health Educ Behav. 2018;45:977–86.

    Article  Google Scholar 

  9. Carey MP, Schroder KEE. HIV Knowledge Questionnaire (18 item version). AIDS Educ Prev. 2002;18:174–84.

    Google Scholar 

  10. Irmayati N, Yona S, Waluyo A. HIV-related stigma, knowledge about HIV, HIV risk behavior and HIV testing motivation among women in Lampung, Indonesia. Enferm Clin. 2019;29:546–50.

    Article  Google Scholar 

  11. Waluyo A, Culbert GJ, Levy J, Norr K. Understanding HIV-related stigma among Indonesian nurses. J Assoc Nurses AIDS Care. 2015;26:69–80.

    Article  Google Scholar 

  12. Carey MP, Schroder KEE. Development and psychometric evaluation of the brief HIV Knowledge Questionnaire. AIDS Educ Prev. 2002;14:172–82.

    Article  Google Scholar 

  13. Carey MP, Morrison-Beedy D, Johnson BT. The HIV-Knowledge Questionnaire: development and evaluation of a reliable, valid, and Practical Self-Administered Questionnaire. AIDS Behav. 1997;1:61–74.

    Article  Google Scholar 

  14. Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J Eval Clin Pract. 2011;17:268–74.

    Article  Google Scholar 

  15. Hendryadi H. Validitas Isi: Tahap Awal Pengembangan Kuesioner. J Ris Manaj dan Bisnis Fak Ekon UNIAT. 2017;2:169–78.

    Google Scholar 

  16. Xie H, Yu H, Watson R, Wen J, Xiao L, Yan M, et al. Cross-cultural validation of the health care provider HIV/AIDS Stigma Scale (HPASS) in China. AIDS Behav. 2019;23:1048–56.

    Article  Google Scholar 

  17. Gorsuch RL. Factor analysis. 2nd ed. Hillsdale: Lawrence Erlbaum Associates; 1983.

    Google Scholar 

  18. Comrey AL. Factor-analytic methods of scale development in personality and clinical psychology. J Consult Clin Psychol. 1988;56:754–61.

    CAS  Article  Google Scholar 

  19. Reise SP, Comrey AL, Waller NG. Factor analysis and scale revision. Psychol Assess. 2000;12:287–97.

    CAS  Article  Google Scholar 

  20. Krabbe PFM. The measurement of health and health status: concepts, methods, and applications from a multidisclipinary perpective. San Diego: Academic Press; 2016.

    Google Scholar 

  21. McCowan RJ, McCowan SC. Item analysis for criterion-referenced tests. New York: Center for Development of Human Services; 1999.

    Google Scholar 

  22. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. McGraw-Hill, INC; 1994.

    Google Scholar 

  23. Wong LP. Prevalence and factors associated with HIV/AIDS-related stigma and discriminatory attitudes: a cross-sectional nationwide study. Prev Med (Baltim). 2013;57:S60–3.

    Article  Google Scholar 

  24. Van Huy N, Lee HY, Nam YS, Van Tien N, Huong TTG, Hoat LN. Secular trends in HIV knowledge and attitudes among Vietnamese women based on the Multiple Indicator Cluster Surveys, 2000, 2006, and 2011: what do we know and what should we do to protect them? Glob Health Action. 2016;9:1–10.

    Article  Google Scholar 

  25. Yaya S, Bishwajit G, Danhoundo G, Seydou I. Extent of Knowledge about HIV and Its Determinants among Men in Bangladesh. Front Public Health. 2016. https://doi.org/10.3389/fpubh.2016.00246.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Hoang CD, Tran BX, Pham MD, Nguyen LH, Do HN, Vuong QH, et al. HIV- and AIDS-related knowledge and attitude of residents in border regions of Vietnam. Harm Reduct J Harm Reduct J. 2019;16:1–9.

    Article  Google Scholar 

  27. Pradnyani PE, Wibowo A, Mahmudah. The effects of sociodemographic characteristics on Indonesian women’s knowledge of HIV/AIDS: a cross-sectional study. J Prev Med Public Health. 2019;52:109–14.

    Article  Google Scholar 

  28. Shim MS, Kim GS. Factors influencing young Korean men’s knowledge and stigmatizing attitudes about HIV infection. Int J Environ Res Public Health. 2020;17:1–13.

    Google Scholar 

  29. Van Son N, Luan HD, Tuan HX, Cuong LM, Duong NTT, Kien VD. Trends and factors associated with comprehensive knowledge about HIV among women in Vietnam. Trop Med Infect Dis. 2020;5:1–11.

    Google Scholar 

  30. Starkweather J. Factor Analysis with Binary items. As Publ Benchmarks RSS Matters, Res Stat Support Univ North Texas; 2014, p. 1–8. http://web3.unt.edu/benchmarks/issues/2014/09/rss-matters.

  31. Barendse MT, Oort FJ, Timmerman ME. Using exploratory factor analysis to determine the dimensionality of discrete responses. Struct Equ Model. 2015;22:87–101. https://doi.org/10.1080/10705511.2014.934850.

    Article  Google Scholar 

  32. Muñoz-Quezada MT, Lucero B, Castillo B, Bradman A, Zúñiga L, Baumert BO, et al. Psychometric validation of a questionnaire to assess perception and knowledge about exposure to pesticides in rural schoolchildren of Maule, Chile. Front Psychol. 2021. https://doi.org/10.3389/fpsyg.2021.715477.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Perwitasari DA, Faridah IN, Arifin B, Novitasari L, Niamuzisilawati E, Utami IN. Validation of the Perceived Neighborhood Environment Questionnaire for diabetes mellitus type 2 patients. J Epidemiol Res. 2018;4:28–34.

    Article  Google Scholar 

  34. Arifin B, Perwitasari DA, Thobari JA, Cao Q, Krabbe PFM, Postma MJ. Translation, revision, and validation of the diabetes distress scale for Indonesian type 2 diabetic outpatients with various types of complications. Value Health Reg Issues. 2017;12:63–73.

    Article  Google Scholar 

  35. BPS. Potret pendidikan Indonesia. Statistik Pendidikan. Jakarta; 2020. https://www.bps.go.id/publication/download.html?nrbvfeve=MzQ3Yzg1NTQxYzM0ZTdkYWU1NDM5NWEz&xzmn=aHR0cHM6Ly93d3cuYnBzLmdvLmlkL3B1YmxpY2F0aW9uLzIwMjAvMTEvMjcvMzQ3Yzg1NTQxYzM0ZTdkYWU1NDM5NWEzL3N0YXRpc3Rpay1wZW5kaWRpa2FuLTIwMjAuaHRtbA%3D%3D&twoadfnoarfeauf=MjA.

Download references

Acknowledgements

We would like to say thank you very much to all the participants, Office of Research and Publication (ORP) Faculty of Medicine, Public Health and Nursing UGM, Administration Bld 2nd Floor, Eric Hokoom, and Sonia Ameilia Dewi Jaikishin.

Funding

Funding was provided by Prof. Maarten J. Postma (University of Groningen); Indonesia Endowment Fund for Education or LPDP in the form of a Ph.D. scholarship to M. Rifqi Rokhman (Grant number PRJ-1/LPDP.3/2019); Universitas Gadjah Mada in the form of a Post-Doctoral Programme to Bustanul Arifin supervised by Retna Siwi Padmawati (Grant number 6162/ UN1/ DITLIT/ DIT-LIT/PT/202).

Author information

Author notes

  1. Bustanul Arifin and M. Rifqi Rokhman contributed equally to this work

Authors and Affiliations

  1. Faculty of Pharmacy, Universitas Hasanuddin, Makassar, Indonesia

    Bustanul Arifin & Marianti Manggau

  2. Unit of Global Health, Department of Health Sciences, University of Groningen, University Medical Centre Groningen (UMCG), Ant. Deusinglaan 1, 9713 AV, Groningen, The Netherlands

    Bustanul Arifin, M. Rifqi Rokhman, Maarten J. Postma & Jurjen van der Schans

  3. Unit of PharmacoTherapy, Epidemiology and Economics (PTE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands

    Bustanul Arifin & Maarten J. Postma

  4. Institute of Science in Healthy Ageing and healthcaRE (SHARE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

    M. Rifqi Rokhman, Maarten J. Postma & Jurjen van der Schans

  5. Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia

    M. Rifqi Rokhman

  6. Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia

    Zulkarnain Zulkarnain

  7. Thyroid Center, Zainoel Abidin Hospital, Banda Aceh, Indonesia

    Zulkarnain Zulkarnain

  8. Faculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

    Dyah Aryani Perwitasari

  9. Masohi Nursing Study Program, Politeknik Kesehatan Kemenkes Maluku, Ambon, Indonesia

    Saidah Rauf

  10. Universitas Muhammadiyah Metro, Lampung, Indonesia

    Rasuane Noor

  11. Department of Health Behaviour, Environment, and Social Medicine, and Centre of Health Behaviour and Promotion, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia

    Bustanul Arifin & Retna Siwi Padmawati

  12. Department of Economics, Econometrics and Finance, Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands

    Maarten J. Postma & Jurjen van der Schans

  13. Department of Pharmacology and Therapy, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia

    Maarten J. Postma

  14. Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia

    Maarten J. Postma

  15. Department of Microbiology, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia

    Muhammad Nasrum Massi

Authors
  1. Bustanul Arifin
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  2. M. Rifqi Rokhman
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  3. Zulkarnain Zulkarnain
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  4. Dyah Aryani Perwitasari
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  5. Marianti Manggau
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  6. Saidah Rauf
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  7. Rasuane Noor
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  8. Retna Siwi Padmawati
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  9. Maarten J. Postma
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  10. Muhammad Nasrum Massi
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  11. Jurjen van der Schans
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Contributions

BA was the initiator of the research idea. All Indonesian authors carried out the data collection. MRR carried out the data analysis. BA, MRR, DAP, ZZ and SR drafted the manuscript. BA, MRR, DAP, JvdS, and MJP contributed to data interpretation. All authors were involved in the study’s conceptualization and design, provided input, read and approved the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Bustanul Arifin or M. Rifqi Rokhman.

Ethics declarations

Ethics approval and consent to participate

The ethical requirements of national research institutes and/or committees, as well as the 1964 Declaration of Helsinki and subsequent amendments or comparable ethical standards were followed in all studies involving human participants. The study was approved by the Research Ethics Committee of Universitas Ahmad Dahlan, Yogyakarta, with ethical approval number 012007028 on 22 September 2020. All participants have read the material about the research, including knowing that the research has been authorized by the Ethics Committee. Willingness to participate was expressed by giving a tick of approval and completing the instrument.

Consent for publication

All the authors have reviewed and approved the final version of the manuscript being submitted. The manuscript is not currently being considered elsewhere.

Competing interests

The authors declare that they have no competing interests.

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Arifin, B., Rokhman, M.R., Zulkarnain, Z. et al. Adaptation and validation of the HIV Knowledge Questionnaire-18 for the general population of Indonesia. Health Qual Life Outcomes 20, 55 (2022). https://doi.org/10.1186/s12955-022-01963-5

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  • DOI: https://doi.org/10.1186/s12955-022-01963-5

Keywords

  • Infectious disease
  • Education
  • Psychometric properties
  • General population
  • Instrumental study

Health and Quality of Life Outcomes

ISSN: 1477-7525

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