Skip to main content

Advertisement

SpringerLink
Log in

Factors affecting the intention and decision to be treated for obstructive sleep apnea disorder

  • Original Article
  • Published:
Sleep and Breathing Aims and scope Submit manuscript

Abstract

Background and purpose

Obstructive sleep apnea (OSA) disorder has a deleterious impact on health. Using the continuous positive airway pressure (CPAP) device effectively lessens OSA. The purpose of this study was to examine the factors affecting patients’ intention and actual decision to get treatment.

Methods

Questionnaires were distributed at three sleep laboratories in Israel among 633 participants suspected of having OSA. Six months later, 194 OSA patients were contacted to verify whether they had purchased a CPAP device.

Results

Factors affecting intention to use the device included Health Belief Model variables, income level, and sleep laboratory location. The decision to get treatment was positively affected by the intention to use CPAP, the number of CPAP trial days, age, and number of years in the country.

Conclusions

Patients’ attitudes and health beliefs prior to diagnosis may predict their intention to be treated for OSA, and in turn, affect their actual decision to get treatment. Awareness of behavioral intention can enable decision makers developing targeted interventions to promote treatment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. The Cronbach alpha coefficient for seriousness is 0.62. This value is a bit lower than the usual cut off of 0.7. However, according to Gliem and Gliem [28], the size of alpha is determined both by the number of items in the scale and by the mean inter-item correlations. Since the number of items on the seriousness scale was small (3) and the number of observations was large (over 100), 0.62 corresponds to the average correlation between items that is significant. This may be interpreted that these three items have some common components and thus may be used as one variable among others.

  2. We also conducted a regression which included the HBM variables, but we did not find any significant effect.

References

  1. Punjabi NM (2008) The epidemiology of adult obstructive sleep apnea. Proc Am Thorac Soc 5:136–143

    Article  PubMed Central  PubMed  Google Scholar 

  2. Young T, Finn L, Peppard PE, Szklo-Coxe M, Austin D, Nieto FJ, Stubbs R, Hla KM (2008) Sleep disordered breathing and mortality: eighteen-year follow-up of the Wisconsin sleep cohort. Sleep 31:1071–1078

    PubMed Central  PubMed  Google Scholar 

  3. Peppard PE, Young T, Palta M, Skatrud J (2000) Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med 342:1378–1384

    Article  CAS  PubMed  Google Scholar 

  4. Tregear S, Reston J, Schoelles K, Phillips B (2009) Obstructive sleep apnea and risk of motor vehicle crash: systematic review and meta-analysis. J Clin Sleep Med 5:573–581

    PubMed Central  PubMed  Google Scholar 

  5. Tarasiuk A, Greenberg-Dotan S, Simon-Tuval T, Tal A, Oksenberg A, Reuveni H (2008) The effect of obstructive sleep apnea on morbidity and health care utilization of middle-aged and older adults. J Am Geriatr Soc 56:247–254

    Article  PubMed  Google Scholar 

  6. Drager LF, Bortolotto LA, Figueredo AC, Krieger EM, Lorenzi GF (2007) Effects of continuous positive airway pressure on early signs of atherosclerosis on obstructive sleep apnea. Am J Respir Crit Care Med 176:706–712

    Article  CAS  PubMed  Google Scholar 

  7. Collard P, Pieters T, Aubert G, Delguste P, Rodenstein DO (1997) Compliance with nasal CPAP in obstructive sleep apnea patients. Sleep Med Rev 1:33–44

    Article  CAS  PubMed  Google Scholar 

  8. Simon-Tuval T, Reuveni H, Grennberg-Dotan S, Oksenberg A, Tal A, Trasiuk A (2009) Low socioeconomic status is a risk factor for CPAP acceptance among adult OSAS patients requiring treatment. Sleep 32:545–552

    PubMed Central  PubMed  Google Scholar 

  9. Olsen S, Smith S, Oei T, Douglas J (2008) Health Belief Model predicts adherence to CPAP before experience with CPAP. Eur Respir J 32:710–717

    Article  CAS  PubMed  Google Scholar 

  10. Rosenstock IM (1974) Historical origins of the Health Belief Model. Health Educ Monogr 2:328–335

    Google Scholar 

  11. Rosenstock IM, Strecher VJ, Becker MH (1988) Social learning theory and the Health Belief Model. Health Educ Q 15:175–183

    Article  CAS  PubMed  Google Scholar 

  12. Olsen S, Smith SS, Oei TPS, Douglas J (2012) Motivational interviewing (MINT) improves continuous positive airway pressure (CPAP) acceptance and adherence: a randomized controlled trial. J Consult Clin Psychol 80:151–163

    Article  PubMed  Google Scholar 

  13. Tzischinsky O, Shahrabani S, Peled R (2011) Factors affecting decision to be treated with CPAP for obstructive sleep apnea syndrome. Isr Med Assoc J 13:413–419

    PubMed  Google Scholar 

  14. Shahrabani S, Benzion U, Yom Din G (2009) Factors affecting nurses’ decision to get the flu vaccine. Eur J Health Econ 10:227–231

    Article  PubMed  Google Scholar 

  15. Gerend MA, Shepherd JE (2012) Predicting human papillomavirus vaccine uptake in young adult women: comparing the Health Belief Model and theory of planned behavior. Ann Behav Med 44(2):171–180

    Article  PubMed Central  PubMed  Google Scholar 

  16. Teitler-Regev S, Shahrabani S, Benzion U (2011) Factors affecting intention among students to be vaccinated against A/H1N1 influenza: a Health Belief Model approach. Adv Prev Med. doi:10.4061/2011/353207

    PubMed Central  PubMed  Google Scholar 

  17. Shahrabani S, Benzion U (2010) Workplace vaccination and other factors impacting influenza vaccination decision among employees in Israel. Int J Environ Res Public Health 7:853–869

    Article  PubMed Central  PubMed  Google Scholar 

  18. Ajzen I (1985) From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckmann J (eds) Action-control: from cognition to behavior. Springer, Heidelberg, pp 11–39

    Chapter  Google Scholar 

  19. Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50:179–211

    Article  Google Scholar 

  20. Vanderdrift LE, Agnew CR, Harvey SM, Warren JT (2012) Whose intentions predict? Power over condom use within heterosexual dyads. Correction to VanderDrift, Agnew, Harvey, and Warren. Health Psychol 31:737

    Article  Google Scholar 

  21. Mathieson K (1991) Predicting user intention: comparing the technology acceptance model with the theory of planned behavior. Inf Syst Res 2:173–191

    Article  Google Scholar 

  22. Sheppard BH, Hartwick J, Warshaw PR (1988) The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. J Consum Res 15:325–343

    Article  Google Scholar 

  23. Shahrabani S, Benzion U (2006) The effects of socio-economic factors on the decision to be vaccinated: the case of flu-shot vaccination. Isr Med Assoc J 8:630–634

    PubMed  Google Scholar 

  24. Remennick LI (1999) Preventive behavior among recent immigrants: Russian-speaking women and cancer screening in Israel. Soc Sci Med 48:1669–1684

    Article  CAS  PubMed  Google Scholar 

  25. Skinner T, McNeil L, Olaithe M, Eastwood P, Hillman D, Phang J, de Regt T, Bucks RS (2013) Predicting uptake of continuous positive airway pressure (CPAP) therapy in obstructive sleep apnoea (OSA): a belief-based theoretical approach. Sleep Breath. doi:10.1007/s11325-013-0828-1

    Google Scholar 

  26. Zomer J, Peled R, Rubin A, Lavie P (1985) Mini-Sleep Questionnaire (MSQ) for screening large populations for EDS complaints. In: Koella WP (ed) Sleep. Krager, Basel, pp 467–470

    Google Scholar 

  27. Johns MW (1991) A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14:540–545

    CAS  PubMed  Google Scholar 

  28. Gliem JA, Gliem RR. (2003) Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research to Practice Conference in Adult, Continuing, and Community Education: 82–8. Available at: http://www.alumniosu.org/midwest/proceeding.html.

  29. Aloia MS, Goodwin MS, Velicer WF, Arnedt JT, Zimmerman M, Skrekas J, Harris S, Millman RP (2008) Time series analysis of treatment adherence patterns in individuals with obstructive sleep apnea. Ann Behav Med 36(1):44–53

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The financial support of the research institute of Maccabi Healthcare Services is gratefully acknowledged. We would like to thank Dr. Ilya Novikov for the statistical analysis, and Anat Hornik for her valuable assistance in data collection and analysis. We also would like to thank the staff of the sleeping laboratories at Assuta Medical Center for their valuable assistance in this research.

Conflict of interest statement

The authors have no conflict of interest to disclose.

Author information

Authors and Affiliations

  1. Economics and Management Department, The Max Stern Yezreel Valley College, Yezreel Valley, Israel

    Shosh Shahrabani

  2. Behavioral Science Department, The Max Stern Yezreel Valley College, Yezreel Valley, Israel

    Orna Tzischinsky

  3. Neurology Department, Sheba Medical Center, Ramat Gan, Israel

    Gili Givati

  4. Sleep Medicine department, Assuta Medical Center, Tel Aviv, Israel

    Yaron Dagan

  5. Human Biology department, Haifa University, Haifa, Israel

    Yaron Dagan

  6. Emek Yezreel Academic College, Yezreel Valley, Israel

    Orna Tzischinsky

Authors
  1. Shosh Shahrabani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Orna Tzischinsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gili Givati
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yaron Dagan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Orna Tzischinsky.

Additional information

Presentation at a conference: submitted to the World Congress on Sleep Medicine, September 2013.

Appendix

Appendix

Table 1a HBM categories and categorical variables
Full size table

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shahrabani, S., Tzischinsky, O., Givati, G. et al. Factors affecting the intention and decision to be treated for obstructive sleep apnea disorder. Sleep Breath 18, 857–868 (2014). https://doi.org/10.1007/s11325-014-0957-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11325-014-0957-1

Keywords

Search

Navigation