1 / 27

The Prevalent Causes of Non- Disclosure of HIV Status And Their Effect on Tema Municipality

The Prevalent Causes of Non- Disclosure of HIV Status And Their Effect on Tema Municipality. RESEARCHERS. OUTLINE OF THE PRESENTATION. INTRODUCTION OBJECTIVES OF THE STUDY METHODOLOGY DESCRIPTIVE ANALYSIS OF RESULT INFERENTIAL ANALYSIS OF THE RESULT CONCLUSION RECOMMENDATION.

turnermichael
Download Presentation

The Prevalent Causes of Non- Disclosure of HIV Status And Their Effect on Tema Municipality

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Prevalent Causes of Non- Disclosure of HIV Status And Their Effecton Tema Municipality

  2. RESEARCHERS

  3. OUTLINE OF THE PRESENTATION • INTRODUCTION • OBJECTIVES OF THE STUDY • METHODOLOGY • DESCRIPTIVE ANALYSIS OF RESULT • INFERENTIAL ANALYSIS OF THE RESULT • CONCLUSION • RECOMMENDATION

  4. INTRODUCTION • As in many other countries worldwide, HIV/AIDS is a threat to Ghana’s development • For PLHIV, the decision to tell someone about their condition means weighing enormous potential consequences, both positive and negative (Derlega, Lovejoy, & Winstead, 1998) • HIV/AIDS-related stigmatization remains a potent stressor. • Despite the negative consequence of disclosure, HIV/AIDS disclosure can help people protect themselves and others (Anyan, 2013).

  5. OBJECTIVES OF THE STUDY The study seeks to; • Investigate the reasons for non-disclosure of HIV positive status • Investigate the gender disclosure rate • Investigate the outcomes of disclosure • Investigate the outcomes of non-disclosure.

  6. METHODOLOGY • This study employs mixture of quantitative and qualitative design. • Data for analysis is primary data obtained by the help of structured questionnaires. • The researchers sampled from population of HIV/AIDS patients from Tema municipal, specifically, Tema General Hospital. • The sample size was statistically determined to be 300 patients.

  7. METHODOLOGY Continue … • Due to unavailability of sampling frame, the researchers considered a non-probabilistic sampling approach (a convenience sampling technique). • The data collected were analyzed using both descriptive and inferential statistics. • The association between independent variables and the dependent variables was ascertained using Binary Logistic Regression analysis.

  8. DESCRIPTIVE ANALYSIS - Demographics

  9. DESCRIPTIVE ANALYSIS - Demographics

  10. DESCRIPTIVE ANALYSIS – Demographics continue …

  11. DESCRIPTIVE ANALYSIS – Demographics continue …

  12. DESCRIPTIVE ANALYSIS – Management

  13. DESCRIPTIVE ANALYSIS – Disclosure

  14. DESCRIPTIVE ANALYSIS – Disclosure

  15. DESCRIPTIVE ANALYSIS – Outcome of Disclosure The study also reveals • That 95.2% of those who disclosed their statusreceived emotional support from their partners while 4.8% do not; • That 88.5% of them still have normal relationships with their partners while 11.5% do not. • Also, 39.7% of them have their sexual lives healthier and • 13% of them have their partners helping them to adhere to medication.

  16. DESCRIPTIVE ANALYSIS – Reasons of Non-Disclosure

  17. DESCRIPTIVE ANALYSIS – Reasons of Non-Disclosure

  18. DESCRIPTIVE ANALYSIS – Reasons of Non-Disclosure

  19. DESCRIPTIVE ANALYSIS – Reasons of Non-Disclosure

  20. DESCRIPTIVE ANALYSIS – Reasons of Non-Disclosure

  21. DESCRIPTIVE ANALYSIS – Outcome of Non-Disclosure We also sought to know how the non-disclosures react to their non-disclosure status. • 93.3% of non-disclosures are having normal lives, • 6.7% of them feel burdened for not disclosing their current status.

  22. INFERENTIAL ANALYSIS

  23. INFERENTIAL ANALYSIS It is proven from the above table that: • Males are about 4 times likely not to disclose their status than females. • Aperson who had never had any form of formal education is 5 times (1/0.194) likely not to disclose his or her status than, a person who had had any form of formal education. • A patient who does not use condom during sex are 6.33 (1/0.158) times likely to non-disclose their status compared to those who use condom during sex

  24. CONCLUSION • The study reveals that a significant proportion of the patients in the community have not disclosed their status to anybody for various fear reasons. • Though there are more females living with HIV status, males have higher non-disclosure rate. • However, educational status and use of contraceptive during sex have negative influence on non-disclosure rate. • Also, the majority of non-disclosures are living normal life.

  25. RECOMMENDATION • Despite the encouraging results of disclosure, it was realized that a great proportion of patients delayed in their disclosure. We recommend that measures should be taken PLHIV to disclose their status immediately to partners to avoid risk of transmission. • We also recommend that HIV/AIDS related education should be intensified to deal with fear and stigmatization in order to achieve zero non-disclosure rate. • This study should be replicated on the national scale with statistically representative sample. • The Government should encourage and resource the existing health institutions to expand voluntary counselling and testing for HIV. • Agencies providing AIDS education programmes should put emphasis on developing life skills and counselling to enable a change of attitudes and to avoid HIV/AIDS.

  26. THE END OF THE PRESENTATION

More Related