Skip to main content

Development, validation, and implementation of a Short Breast Health Perception Questionnaire

Abstract

Background

Health status and perception can be assessed by general or disease-specific questionnaires, and disease specific questionnaires are more specific than general questionnaires. Considering the importance of breast health perception (BHP) in women’s lives and the lack of any pertinent questionnaires, we performed this study to develop a valid and reliable short BHP questionnaire (BHPQ); and then used it to assess the participants’ BHP.

Methods

We first designed and developed the instrument and then measured its inter-rater agreement (IRA), content validity including content validity index (I-CVI) and scale content validity index (S-CVI), and reliability (through internal consistency and test–retest). We then evaluated the BHP of eligible women with normal breasts and benign breast disorders who attended our breast clinic.

Results

The IRA index (78.6%) showed the optimal relevance and clarity of the questionnaire. The content validity was acceptable; with S-CVIs of 87.35 and 84.42 for clarity and relevance, respectively. The internal reliability was high (Cronbach’s alpha = 0.93). Three questions were eliminated for internal consistency (intraclass correlation coefficient < 0.7) but the rest of the questions showed good and excellent reliability. In the next step, BHP in the 350 eligible participants showed an overall score of 43.89 ± 9.09.

Conclusion

This study introduces a valid and reliable 11-item BHPQ. We propose its use in various circumstances throughout breast cancer screening, diagnosis, and treatment; and in the assessment of BHP in various physiologic and reproductive situations.

Peer Review reports

Background

Cancer is the second leading cause of death worldwide, and breast cancer is the most common cause of cancer-related mortality [1]. The breast is a distinctive feature of women and an emotional symbol of femininity and motherhood, and any threat to the breast can be devastating to the feminine identity of a woman [2]. A diagnosis of breast cancer can be destructive and induces various negative reactions in most women [3]. In addition, the loss of a breast can result in low self-esteem, false self-perception, social isolation, and communication problems with others [4, 5]; while the psychological health of the operated woman can diminish, leading to poor health outcomes [6, 7]. Thinking about the possibility of developing breast cancer itself can cause intense mental stress, which can evoke different emotional problems such as anxiety, distress, and depression [2, 8].

Breast cancer screening can facilitate early detection of malignancy, improve the patient’s quality of life and reduce cancer-related mortality [9]. However, being called for further investigations after primary screening is a stressful experience for many women [10], and false negatives, false positives, and overdiagnosis can affect the patients’ decision to participate in the screening program [11]. In addition, psychological reactions such as anxiousness and depression are common during the detection, diagnosis, and treatment of cancer [12]. These procedures and events cause different levels of stress in women, and they might also affect the patient’s perception regarding her breast health. Regardless of the real health status, health perception is important enough to affect a person’s life satisfaction -as defined and measured by Emmons and Diener- and quality of life (QOL) [13, 14]. Interestingly, it has been shown that when patients rate their health perception, they do not merely envisage their physical status, but also other elements such as general well-being. When people evaluate and rank their health status, they point to data that can even predict the probable incidence of chronic diseases or recovery from the disease, their functional deterioration, or their future use of health services [15]. Therefore, professionals like to assess a person’s health perception alongside their physical and emotional health in various conditions. This assessment takes place via questionnaires that have been designed for this purpose [15]. Overall, general health feelings are important aspects of medical care and can be assessed by general or disease-specific questionnaires. The general health questionnaire, including its frequently used short version consisting of 12 questions, has been translated and validated in multiple languages and countries and is the best-known questionnaire in this regard [16]. However, site or disease-specific questionnaires are more sensitive for detecting and quantifying small issues [17]. Numerous valuable specialized questionnaires focusing on an important body organ or a specific disease that measure a person’s health perception, health status, or quality of life in relation to that disease have been developed and validated. In 2014, Oldridge et al. validated a questionnaire that was specifically aimed at patients with ischemic heart disease. It comprised 14 items including physical and emotional subscales and a global score, and the Cronbach’s alpha index for consistency was > 0.8 [18]. Another study conducted in the Netherlands for validation of QOL after pulmonary embolism reported an adequate internal consistency with a Cronbach’s alpha of 0.62–0.94 and a reliability of 0.78–0.94 [17]. A few other examples among many include peripheral artery [19], cystic fibrosis [20], leiomyomata [21], sleep apnea [22], and onychomycosis [23] questionnaires.

However, despite the importance of the breast in a woman’s life, a questionnaire that targets the perception of women toward their breast health (BH) is not available. Although questionnaires for assessing breast cancer fear (the Champion Breast Cancer Fear Scale) [24] and patient-stated outcome after breast reduction, augmentation, and reconstruction have been validated (the Breast-Q) [25]; no questionnaires for evaluation of BH perception (BHP) have been introduced until now. While the threat of cancer and its burden can be destructive and result in depression and anxiety in women, many other issues like harboring a premalignant lesion in the breast, benign breast disorders, various types of breast surgery, mild and moderate breast symptoms like mastalgia or benign nipple discharge, physiologic reproductive conditions such as pregnancy, lactation, or menstrual fluctuations of the breast, and even simply undergoing cancer screening can impact the BHP. Therefore, developing a questionnaire with acceptable validity and reliability to evaluate women’s self-perception about their BH can be very helpful. The purpose of this breast health perception questionnaire (BHPQ) would be to detect how women perceive their breast health when facing different situations such as undergoing any kind of investigation for detection of a breast lesion, the diagnosis of a benign breast disease, encountering changes in the breasts due to pregnancy or lactation; becoming aware of the disease of an acquaintance, or taking part in a study about breast medical conditions, or any other event related to the breasts.

We perceived the need for a BHPQ while executing a breast cancer screening project during preconception care in women. At that time, we realized that the clinical and imaging examinations worried some women, but we needed to know whether our activities had any impact on the women’s BHP. Similarly, when we were carrying out a study about two different methods of educating women about breast cancer [26], we saw that the instructions we provided about breast cancer made some women feel uncomfortable about their breasts. We then looked for a tool that could measure the BHP of women before and after the teaching interventions to compare the two methods and see whether any of them could have a better impact or inflict less damage to the participants’ BHP. These and many other similar evaluations could only be done by using a reliable, validated, specifically designed questionnaire. Unfortunately, such a tool does not exist. Therefore, we carried out the present study to develop a valid and reliable short questionnaire for measuring women’s perception about their BH status. We then used the product to assess BHP in women with normal breast and with benign breast disorders who attended our breast clinic.

Methods and materials

This study has been approved by the Research Deputy of Tehran University of Medical Sciences, approval code 99–1-259–48,164. Also, the study has been approved by the Ethics Committee of Tehran University of Medical Sciences, ethics code: IR.TUMS.IKHC.REC.1399.112. All the participants consented to take part in the study by written informed consent. All methods were carried out in accordance with relevant guidelines and regulations of the ethics committee of the University of Medical Sciences and the declaration of Helsinki.

Questionnaire design

To design a BHPQ, we first performed an extensive literature review. Then, several discussion panels with 7 general surgeons, breast surgeons, and gynecologists were held. During these meetings, the content that should be included in the questionnaire, as well as the content that should not be included, were discussed (content validity assurance). Fourteen multiple-choice questions were developed and the answers were set based on the Likert scale, including always (almost always), usually, sometimes, rarely, and never.

Validity assessment

Face validity

Face validity is used to assess whether a questionnaire is appropriate for the measurement of what is expected to be measured in general [27]. To do this, the approved questions were given to 12 experts (other than those who had taken part in the development of the questions) to evaluate them regarding their form, comprehensibility, sequence, and fluency. The experts were chosen according to the recommendation of the research directory reviewers of the university and included two breast surgeons, two surgical oncologists, one general surgeon expert in breast diseases, two gynecologists, two radiation oncologists, one psychologist, one social medicine expert, and one breast care nurse.

Content validity

Before handling the questionnaires to the experts, several patients were asked to evaluate the paper to consider whether they believed it could measure a woman’s perception about her breast health; and give us their oral opinion or approval. They did not rate the questionnaire officially in this regard, as this part of the work had not been planned in the project.

Relevance is the ability of a selected question to reflect the characteristics of the intended content, while clarity addresses whether a selected question is appropriate in terms of writing and its concept. Because clarity and relevance have different definitions, we asked a panel of experts to rate every item in terms of relevance and clarity separately according to a four-point Likert scale. Thus to conduct content validity [28], the designed questionnaire was given to these 12 health professionals and 5 knowledgeable participants as an expert panel, to score the indices of content validity (relevancy and clarity) for each item in the questionnaire (I-CVI) according to the four-point Likert scale.

Item Content Validity Index (I-CVI)

This index rates the relevance and the clarity of each item in the questionnaire [27, 28]. To obtain each index, the number of experts judging each item as relevant or clear (rated as “quite appropriate” or “appropriate”) was divided by the total number of experts. Returned values range from zero to one: As a rule, when the item content validity index (I-CVI) is more than 0.79 the item is relevant, when it is between 0.70 and 0.79 it needs revision, and if the value is below 0.70, the item is eliminated [28].

Scale Content Validity Index (S-CVI)

There are two methods used to assess the relevance and the clarity of the overall scale: total agreement and mean approach. In both approaches, the “quite appropriate” and “appropriate” answers, as well as the “quite inappropriate” and “inappropriate” are merged; and two main options “appropriate” and “inappropriate” are considered for each question.

For the total agreement approach, the number of questions rated as appropriate is divided by the number of questions. In the mean approach, the total index of content validity (relevancy or clarity) of every item in the questionnaire is divided by the total number of questions.

In different references, the minimum acceptable scale content validity index (S-CVI) for a new instrument is considered to be 80% [28].

Interrater agreement

The interrater agreement (IRA) is used to examine the observed agreement between experts participating in a study in terms of relevance and clarity of questions [28]. The assessment of IRA is performed in two different ways, conservative and less conservative. For the conservative approach, the number of items that all experts rated as “quite appropriate” or “appropriate” was divided by the total number of items. For the less-conservative approach, the number of items that the majority of experts (80%) rated as “quite appropriate” or “appropriate” was divided by the total number of items. The acceptable level of agreement was presented as 70%-80% [29].

Reliability

Reliability is the degree to which the research method produces stable and consistent results under the same method and circumstance over time [30]. We used Cronbach’s alpha to determine the internal consistency and the test–retest method for reliability. Since in this study, all items (questions) were related to one area, then only one Cronbach’s alpha index was estimated for the instrument. In internal consistency evaluation, the desired value for Cronbach’s alpha is 0.7 or higher. To evaluate the reliability of the instrument, questions were given to a group of 36 people at two different times with 2 to 3 week intervals under the same circumstance, and the obtained scores were used to measure the reliability by using the intraclass correlation coefficient (ICC). Reliability above 0.7 is desirable [31, 32].

Study design

After designing a valid and reliable questionnaire, a descriptive-analytical and cross-sectional study was carried out on women who attended the Breast Clinic of Arash Women’s Hospital from August 1st to October 31st, 2020. The inclusion criteria of the study were: age 18 years or above, willingness to participate, no suspicious breast lesions on clinical breast exam, no suspicious breast lesions on breast ultrasound (when needed), and the absence of any suspicious lesions on mammography during the past year in women over 40 years of age. Exclusion criteria consisted of a history of breast cancer, a diagnosis of a benign breast lesion except for fibrocystic changes or small (less than 1 cm) fibroadenomas, a history of cosmetic breast surgery, a new change in the breast examination or in a recent imaging examination, a history of psychological disease, or the use of psychotropic medications. After getting written informed consent from the eligible women, 350 women were entered into the study. Sampling was done in a full-census manner and all eligible participants were selected to fill out the BHPQ. Each question (item) included five-choice options; always (almost always), usually, sometimes, rarely, and never; which were given one to five scores, respectively. The overall calculated raw score for each participant could be between 14 and 70 in the designed questionnaire.

Results

Content validity

I-CVI and S-CVI were used to assess the content validity. I-CVI values for relevance and clarity were between 58.8 and 100, and S-CVI was 87.35 and 84.42, respectively. The calculated IRA for the BHPQ was 78.6. (Table1).

Table 1 Items content validity index (I-CVI), scale content validity scale (S-CVI) and IRA for clarity and relevancy

Reliability

To assess the internal consistency based on the Likert scale (Q1 to Q14), we used Cronbach’s alpha. According to the results, the internal consistency of the BHPQ was excellent (Cronbach’s alpha = 0.93). The reliability of the instrument was measured by the ICC by comparing the total score of the questionnaire filled by people at two different times (with a 2 to 3-week interval).

The calculated ICC index for qualitative variables showed that the internal consistency of most of the questions was acceptable; questions with an ICC < 0.7 were removed from the questionnaire (Table 2).

Table 2 Test–retest reliability

Final questionnaire

The minimum and maximum overall scores of the questionnaire were considered as 14 and 70, respectively, at the time of designing the questionnaire. After the removal of the questions with a low ICC during the reliability assessment, the overall score was 11–55. The specific main topics asked in the questionnaire evaluated the subject’s feelings about the current or future presence of a dangerous disease in her breast; her anxiety and worries about getting her family into trouble, the worry of her present or future breast problems disrupting her daily life or interfering with her sexual relationship; the urge for repeated medical check-ups to check the breast health status; and matters such as obsessive breast self-exam and frequent searching or inquiring for information about breast diseases or new ways to diagnose breast lesions.

The questionnaire is in Farsi but a translation of the questions as well as the answers options (on a five-point Likert scale) and the scoring are demonstrated in Table 3.

Table 3 The English translation of the final breast health perception questionnaire

Participant’s evaluation

A total of 350 women were included in the study. The mean age of the participants was 42.7 ± 10.29 years. The youngest participant was 18 and the oldest was 83 years old.

The overall mean score of BHP among the 350 women was 43.89 ± 9.09.

Discussion

This study aimed to develop a new questionnaire for measuring BHP in women, assess the validity and reliability of the instrument, and evaluate the status of BHP in a group of women who did not have breast cancer and were not at immediate risk for the disease according to imaging and physical examination. Results of the study provided evidence that the designed tool yielded a reliable and valid 11-item BHPQ for evaluating BHP. The process started with designing and developing the instrument, followed by evaluation of IRA, content validity including I-CVI and S-CVI, and finally reliability (through internal consistency and test–retest).

Based on the results, the IRA index obtained for the instrument (78.6%) indicated optimal relevance and clarity of the questionnaire. Also, the content validity of the final BHPQ was acceptable: the S-CVI, which is one the most important indices in designing an instrument [28], was acceptable (87.35 and 84.42 for clarity and relevance, respectively). Reliability is a term used to describe the consistency of a measure. Essentially, if findings can be replicated consistently, they are considered to be reliable [33]. In our study, the internal reliability of the BHPQ was found to be high with a Cronbach’s alpha of 0.93, which shows the excellent consistency of the questionnaire. For external consistency, the three questions that showed an ICC less than 0.7 were removed from the questionnaire, while the rest showed good and excellent reliability. In the end, a valid reliable 11-item BHPQ was developed.

Our study was not meant to define a cut-off point for breast health perception. We only intended to provide a score which could be used as a comparative measurement. A higher score meant a better condition, and a lower score indicated a poorer condition. Also, the changes before or after an intervention would show the positive or negative effect of the intervention on the BHP.

In the second part of the study, measuring BHP in the eligible women who attended the Breast Clinic of Arash Women’s Hospital showed an overall score of 43.89 ± 9.09. According to the findings, among different variables which could affect BHP, age was the only one that showed a significant relationship with BHP; older women showed a higher BHP score. It might be assumed that this is because understanding and correctly answering questions on a survey are more difficult for older people and the results are biased. However, it has been shown that short questionnaires usually do not induce such a bias, contrary to lengthy ones [34]. Also, it has been mentioned that life satisfaction (defined as “desire to change life or satisfaction with current/past/future life or others' views of one's life”) usually does not decrease with increasing age [35], and even living with a disease beyond a certain time leads to increased levels of well-being [36]. This finding in our study might be attributed to the fact that older women had lived a longer time without any important breast lesion, and were somehow reassured about their BHP.

Our study showed that the history of breast surgery for benign lesions did not affect BHP. A study conducted by Klassen et al. revealed that cosmetic and reconstructive breast surgery affect the psychological well-being of women [37], and higher satisfaction and psychological well-being were detected after breast reconstruction in the study of Ng et al. [38]. However, these types of surgeries aim to resolve a defect or compensate for a subject of dissatisfaction of the patients and expectedly yield positive feelings. Nevertheless, the BHP of these patients has not been evaluated in these or other studies; our questionnaire can be used for this purpose in the future.

Having a family history of breast cancer was evaluated as a potential feature that could affect BHP, but according to the results, there was no significant difference between women with a positive or negative family history. This finding is consistent with a previous study conducted by Al-Naggar et al., which reported that a family history of cancer does not influence the QOL [39]. However, Abu-Helaleh et al. reported positive family history of breast cancer as an important predictor of low QOL [40].

Other factors, which were considered and evaluated as a potential predictor of BHP, were menopause, lactation, parity, and miscarriage; none of them showed any significant relationship with BHP.

Our study had some limitations. We did not ask patients to assess the validity of the questionnaire and only asked for their oral approval. We did not differentiate women with healthy breasts from those with mild benign disorders (fibrocystic changes and small fibroadenomas). Also, we did not include women who had undergone previous cosmetic breast surgery, and only evaluated surgery for benign lesions. In addition, we did not evaluate the BHP status of patients with previous breast cancer. The BHPQ is now in Farsi, and the English translation and validation should be performed as the next step to make the BHPQ usable for a wide population.

Conclusion

This study introduces an 11-item BHPQ that can be used in various situations for the assessment of BHP. We propose its evaluation in breast cancer survivors at different stages of diagnosis, treatment, survivorship, and follow-up; and in women at high risk for breast cancer. Also, we suggest using this questionnaire in various conditions throughout breast cancer screening, and in projects which might affect the self-perception of women about the health status of their breasts.

Availability of data and materials

The data that support the findings of this study are available from the first author of the manuscript by correspondence to sadafalipour@yahoo.com.

Abbreviations

BH:

Breast health

BHP:

Breast health perception

BHPQ:

Breast health perception questionnaire

I-CVI:

Content validity index

S-CVI:

Scale content validity index

ICC:

Intraclass correlation coefficient

References

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.

    Article  Google Scholar 

  2. Amr SS, Rahman A, Sadi M, Fazal I, Sheikh SS. The spectrum of breast diseases in Saudi Arab females: A 26 years pathological survey at Dhahran Health Center. Ann Saudi Med. 1995;15:125–32.

    Article  CAS  Google Scholar 

  3. Al-Azri M, Al-Awisi H, Al-Rasbi S, El-Shafie K, Al-Hinai M, Al-Habsi H, Al-Moundhri M. Psychosocial impact of breast cancer diagnosis among Omani women. Oman Med J. 2014;29(6):437–44.

    Article  Google Scholar 

  4. Banning M, Hafeez H, Faisal S, Hassan M, Zafar A. The impact of culture and sociological and psychological issues on Muslim patients with breast cancer in Pakistan. Cancer Nurs. 2009;32(4):317–24.

    Article  Google Scholar 

  5. Wellisch DK. The psychologic impact of breast cancer on relationships. Semin Oncol Nurs. 1985;1(3):195–9.

    Article  CAS  Google Scholar 

  6. Kagawa-Singer M, Dadia AV, Yu MC, Surbone A. Cancer, culture, and health disparities: time to chart a new course? CA Cancer J Clin. 2010;60(1):12–39.

    Article  Google Scholar 

  7. Freeman HP. Poverty, culture, and social injustice: determinants of cancer disparities. CA Cancer J Clin. 2004;54(2):72–7.

    Article  Google Scholar 

  8. Kulkarni S, Vora IM, Ghorpade KG, Srivastava S. Histopathological spectrum of breast lesions with reference to uncommon cases. J Obstet Gynecol India. 2009;59:444–52.

    Google Scholar 

  9. Duffy SW, Vulkan D, Cuckle H, et al. Effect of mammographic screening from age 40 years on breast cancer mortality (UK Age trial): final results of a randomised, controlled trial. Lancet Oncol. 2020;21(9):1165–72.

    Article  Google Scholar 

  10. Gilbert F, Cordiner C, Affleck IR, Hood DB, Mathieson D, Walker LG. Breast screening: the psychological sequelae of false-positive recall in women with and without a family history of breast cancer. Eur J Cancer. 1998;34:2010–4.

    Article  CAS  Google Scholar 

  11. Marmot MG, Altman DG, Cameron D, Dewar J, Thompson SG, Wilcox M. The benefits and harms of breast cancer screening: an independent review. Br J Cancer. 2013;108:2205–40.

    Article  CAS  Google Scholar 

  12. Woods M, Williams L. Cancer care. Part 1. Mental health care for women with breast cancer. Nurs Times. 2002;98:34–5.

    PubMed  Google Scholar 

  13. Heiestad H, Gjestvang C, Haakstad LA. Investigating self-perceived health and quality of life: a longitudinal prospective study among beginner recreational exercisers in a fitness club setting. BMJ Open. 2020;10(6):e036250.

    Article  Google Scholar 

  14. Lee BA, Oh DJ. The effects of health perception on living health belief, living satisfaction and wellbeing-oriented activities according to swimming participation with middle-aged women. J Exerc Rehabil. 2013;9(3):381.

    Article  Google Scholar 

  15. Shields M, Shooshtari S. Determinants of self-perceived health. Health Rep. 2001;13(1):35–52.

    CAS  PubMed  Google Scholar 

  16. Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychol Med. 1979;9(1):139–45.

    Article  CAS  Google Scholar 

  17. Klok FA, Cohn DM, Middeldorp S, et al. Quality of life after pulmonary embolism: validation of the PEmb-QoL Questionnaire. J Thromb Haemost. 2010;8(3):523–32.

    Article  CAS  Google Scholar 

  18. Oldridge N, Höfer S, McGee H, Conroy R, Doyle F, Saner H, HeartQoL Project Investigators. The HeartQoL: Part II. Validation of a new core health-related quality of life questionnaire for patients with ischemic heart disease. Eur J Prev Cardiol. 2014;21(1):98–106.

    Article  Google Scholar 

  19. Hoeks SE, Smolderen KG, op Reimer WJ, Verhagen HJ, Spertus JA, Poldermans D. Clinical validity of a disease-specific health status questionnaire: the peripheral artery questionnaire. J Vasc Surg. 2009;49(2):371–7.

    Article  Google Scholar 

  20. Wenninger K, Aussage P, Wahn U, Staab D. The revised German Cystic Fibrosis Questionnaire: validation of a disease-specific health-related quality of life instrument. Qual Life Res. 2003;12(1):77–85.

    Article  Google Scholar 

  21. Spies JB, Coyne K, Guaou NG, Boyle D, Skyrnarz-Murphy K, Gonzalves SM. The UFS-QOL, a new disease-specific symptom and health-related quality of life questionnaire for leiomyomata. Obstet Gynecol. 2002;99(2):290–300.

    PubMed  Google Scholar 

  22. Ward Flemons W, Reimer MA. Development of a disease-specific health-related quality of life questionnaire for sleep apnea. Am J Respir Crit Care Med. 1998;158(2):494–503.

    Article  Google Scholar 

  23. Drake LA, Patrick DL, Fleckman P, et al. The impact of onychomycosis on quality of life: development of an international onychomycosis-specific questionnaire to measure patient quality of life. J Am Acad Dermatol. 1999;41(2):189–96.

    Article  CAS  Google Scholar 

  24. Champion VL, Skinner CS, Menon U, Rawl S, Giesler RB, Monahan P, Daggy J. A breast cancer fear scale: psychometric development. J Health Psychol. 2004;9(6):753–62.

    Article  Google Scholar 

  25. Pusic AL, Klassen AF, Scott AM, Klok JA, Cordeiro PG, Cano SJ. Development of a new patient-reported outcome measure for breast surgery: the BREAST-Q. Plast Reconstr Surg. 2009;124(2):345–53.

    Article  CAS  Google Scholar 

  26. BoroumandSani S, Eslami B, Eskandari A, et al. Comparison of the effectiveness of teaching “breast cancer in a simple language” via a user-friendly booklet or through WhatsApp on the learning rate and emotional status in healthy women: a randomized pre-test/post-test experimental design. Int J Health Promot Educ. 2022. In press. https://0-doi-org.brum.beds.ac.uk/10.1080/14635240.2021.2019603

  27. Taherdoost H. Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. How to test the validation of a questionnaire/survey in a research. Int J Acad Res Manag. 2016;5(3):28–36.

    Google Scholar 

  28. Polit D, Tatano B. The content validity index: are you sure you know what’s being reported? J Nurs Res. 2006;29(5):489–97.

    Google Scholar 

  29. Davis LL. Instrument review: getting the most from a panel of experts. Appl Nurs Res. 1992;5(4):194–7.

    Article  Google Scholar 

  30. Terwee CB, Bot SD, de Boer MR, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42.

    Article  Google Scholar 

  31. Taber KS. The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018;48(6):1273–96.

    Article  Google Scholar 

  32. Bolarinwa OA. Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Niger Postgrad Med J. 2015;22(4):195.

    Article  Google Scholar 

  33. Hegel MT, Moore CP, Collins ED, et al. Distress, psychiatric syndromes, and impairment of function in women with newly diagnosed breast cancer. Cancer. 2006;107(12):2924–31.

    Article  Google Scholar 

  34. O’Connor DW, Parslow RA. Mental health scales and psychiatric diagnoses: Responses to GHQ-12, K-10 and CIDI across the lifespan. J Affect Disord. 2010;121(3):263–7.

    Article  Google Scholar 

  35. Diener E, Suh EM, Lucas RE, Smith HL. Subjective well-being: Three decades of progress. Psychol Bull. 1999;125(2):276.

    Article  Google Scholar 

  36. Barnes M, Cheshire H, Crawford R, et al. The Dynamics of ageing. The Institute for Fiscal Studies. 2012. file:///C:/Users/amir/Downloads/Dynamics-of-ageing-evidence-from-the-english-longitudinal-study-of-ageing-200210-wave-5%20(5).pdf . Accessed 29 Aug 2021.

    Google Scholar 

  37. Klassen AF, Pusic AL, Scott A, Klok J, Cano SJ. Satisfaction and quality of life in women who undergo breast surgery: a qualitative study. BMC Womens Health. 2009;9(1):1–8.

    Article  Google Scholar 

  38. Ng SK, Hare RM, Kuang RJ, Smith KM, Brown BJ, Hunter-Smith DJ. Breast reconstruction post mastectomy: patient satisfaction and decision making. Ann Plast Surg. 2016;76(6):640–4.

    Article  CAS  Google Scholar 

  39. Al-Naggar RA, Nagi NM, Ali MM, Almuasli M. Quality of life among breast cancer patients in Yemen. Asian Pac J Cancer Prev. 2011;12(9):2335–41.

    PubMed  Google Scholar 

  40. Abu-Helalah M, Al-Hanaqta M, Alshraideh H, Abdulbaqi N, Hijazeen J. Quality of life and psychological well-being of breast cancer survivors in Jordan. Asian Pac J Cancer Prev. 2014;15(14):5927–36.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge the Research Deputy of Tehran University of Medical Sciences for their approval and financial support of the research; and Dr. Ramesh Omranipour, Dr. Bita Eslami, and Mrs. Ladan Hosseini for their kind support and assistance in designing the study.

Funding

This study has been financially supported by a grant from the Research Deputy of Tehran University of Medical Sciences, code 99–1-259–48164.

Author information

Authors and Affiliations

Authors

Contributions

SA: conception and design of the project, interpretation of data, substantial revision of the manuscript, approval of the submitted manuscript; HR: analysis of data, drafting the manuscript, approval of the submitted manuscript; KM: analysis and interpretation of data, drafting the manuscript, approval of the submitted manuscript; MO: design of the project, acquisition of data, approval of the submitted manuscript; YE: conception of the project, acquisition of data, revision of the manuscript, approval of the submitted manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Yas Eskandari.

Ethics declarations

Ethics approval and consent to participate

This study has been approved in the Ethics Committee of Tehran University of Medical Sciences, Ethics code: IR.TUMS.IKHC.REC.1399.112. All the participants consented to take part in the study by written informed consent. All methods were carried out in accordance with relevant guidelines and regulations of the ethics committee of the University of Medical Sciences and the declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alipour, S., Rashidi, H., Maajani, K. et al. Development, validation, and implementation of a Short Breast Health Perception Questionnaire. BMC Public Health 22, 1060 (2022). https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-022-13501-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-022-13501-5

Keywords