| Literature DB >> 32243478 |
Janine Barden-O'Fallon1,2, Jennifer Mason3, Emmanuel Tluway4, Gideon Kwesigabo5, Egidius Kamanyi6.
Abstract
In a context of high rates of HIV prevalence, concerns over hormonal contraceptive use and the potential for increased risk of HIV acquisition have led to increased attention to counseling messages, particularly for users of the injectable. However, the consequence of adding additional HIV risk messages to family planning counseling sessions was not well understood. This evaluation assessed the effect of providing revised injectable and HIV risk counseling messages on contraceptive knowledge and behavior during a three month pilot intervention. The pilot intervention was conducted September-November 2018 with all eligible family planning clients in ten healthcare facilities located in the Iringa and Njombe regions of Tanzania. Data collection for the evaluation occurred November-December 2018 and included 471 client exit interviews, 26 healthcare provider interviews, and the extraction of service statistics for 12 months prior to the intervention and three months of the intervention. Univariate and bivariate analyses were used to assess quantitative interview data. Thematic qualitative assessment was used to assess qualitative interview data from healthcare providers. Interrupted time series analysis was used to assess changes in the trend of contraceptive uptake. Results indicate that the counseling messages did not cause a decrease in the uptake of injectables (Depo-Provera): 97 percent of interviewed clients received Depo-Provera at their visit; sixty percent reported an intention to use condoms for dual protection. The analysis of service statistics showed no statistical difference in the trend of Depo-Provera uptake between the pre-intervention and intervention periods (p = 0.116). Overall knowledge of counseling messages by clients was good; however only 64.8% of women correctly responded that women at risk of getting HIV can use any method of family planning. Providers' knowledge of the messages was high, though it appears that not all messages were consistently provided during the counseling sessions. The findings from this evaluation provide evidence that complex HIV counseling messages can be implemented in family planning programs in Tanzania, and potentially in other countries that are considering how to better integrate HIV risk messages into family planning counseling.Entities:
Year: 2020 PMID: 32243478 PMCID: PMC7122807 DOI: 10.1371/journal.pone.0231070
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1CONSORT diagram.
Background characteristics of FP clients percent distribution of interviewed women by age group, education, number of living children, and marital status, Tanzania 2018.
| Age (years) | % |
|---|---|
| 17–19 | 5.1 |
| 20–24 | 23.6 |
| 25–29 | 35.2 |
| 30–34 | 22.5 |
| 35+ | 13.6 |
| No education | 6.4 |
| Primary | 63.5 |
| Secondary or higher | 29.9 |
| No response | 0.2 |
| No children | 2.5 |
| 1 child | 26.3 |
| 2 children | 34.0 |
| 3 children | 20.0 |
| 4+ children | 17.2 |
| Never in union | 6.4 |
| Married/living together | 89.8 |
| Separated/divorced/widowed | 3.4 |
| No response | 0.4 |
Method continuation and switching at visit percent distribution of the change in contraceptive use as a result of the clinic visit, by age group, Tanzania 2018.
| Switched to Depo-Provera from a different Method (%) | Started another method after non- use (%) | Switched from Depo- Provera to a different method (%) | |||||
|---|---|---|---|---|---|---|---|
| 17–19 | 41.7 | 54.2 | 4.2 | 0.0 | 0.0 | 0.0 | 24 |
| 20–24 | 49.5 | 36.9 | 11.7 | 0.9 | 0.9 | 0.0 | 111 |
| 25–29 | 50.0 | 34.3 | 11.4 | 1.2 | 2.4 | 0.6 | 166 |
| 30–34 | 63.2 | 22.6 | 12.3 | 1.9 | 0.0 | 0.0 | 106 |
| 35+ | 76.6 | 14.1 | 4.7 | 1.6 | 3.1 | 0.0 | 64 |
Intention to use condoms percentage of women ages 17–49 who report they plan to use condoms for protection against STIs, including HIV, by age group, Tanzania 2018.
| Plan to use condoms as method of STI/HIV protection | Age | ||||||
|---|---|---|---|---|---|---|---|
| 17–19 (%) | 20–24 (%) | 25–29 (%) | 30–34 (%) | 35+ (%) | Overall (%) | N (Total = 471) | |
| Yes | 75.0 | 71.2 | 57.8 | 53.8 | 53.1 | ||
| No | 25.0 | 28.8 | 38.0 | 40.6 | 45.3 | ||
| Don’t know | 0.0 | 0.0 | 4.2 | 5.7 | 1.6 | ||
*p-value<0.05
Spontaneous mention of messages related to Depo-Provera and HIV acquisition percentage of women 17–49 who spontaneously recalled various messages from counseling on Depo-Provera and potential increased risk of HIV acquisition, by age group, Tanzania 2018.
| Age | ||||||
|---|---|---|---|---|---|---|
| Message | 15–19 (%) | 20–24 (%) | 25–29 (%) | 30–34 (%) | 35+ (%) | Overall (%) |
| Women at risk of HIV who are using Depo-Provera should also use condoms | 29.2 | 47.7 | 48.2 | 45.3 | 59.4 | |
| Depo-Provera may increase the risk of HIV | 29.2 | 44.1 | 40.4 | 36.8 | 42.2 | |
| It is not known if Depo- Provera causes higher risk of HIV | 25.0 | 20.7 | 22.9 | 22.6 | 28.1 | |
| Depo-Provera use does not protect against STIs/HIV | 16.7 | 13.5 | 16.3 | 17.9 | 10.9 | |
| Women at risk of HIV can still use Depo-Provera | 12.5 | 13.5 | 9.6 | 13.2 | 10.9 | |
| There are other long-acting and effective methods of FP | 12.5 | 12.6 | 7.8 | 13.2 | 12.5 | |
| Don't know/remember any messages | 20.8 | 9.9 | 10.2 | 8.5 | 4.7 | |
| Depo-Provera use can cause STIs/HIV | 4.2 | 1.8 | 3.6 | 3.8 | 7.8 | |
| Number of women | 24 | 111 | 166 | 106 | 64 | |
Client’s knowledge of HC-HIV counseling messages: True/false percent distribution of knowledge about hormonal contraceptive methods and associated risk of HIV acquisition among women ages 17–49, N = 471, Tanzania 2018.
| True/false statement | Correct (%) | Incorrect (%) | “Don’t know” (%) | |
|---|---|---|---|---|
| 1. | Hormonal contraceptives, such as implants, pills, and Depo-Provera, are very effective in preventing unintended pregnancy when used consistently and correctly. (TRUE) | 94.1 | 1.7 | 4.2 |
| 2. | Hormonal contraceptives, such as implants, pills, and Depo- Provera, are very effective in preventing STIs when used consistently and correctly. (FALSE) | 76.4 | 14.0 | 9.6 |
| 3. | Dual-method use, using a condom with another FP method, will help prevent both unintended pregnancy and HIV/STIs. (TRUE) | 80.3 | 14.4 | 5.3 |
| 4. | Using Depo-Provera may increase a woman’s risk of getting HIV. (TRUE) | 67.5 | 20.6 | 11.9 |
| 5. | Using implants may increase a woman’s risk of getting HIV. (FALSE) | 25.3 | 49.0 | 25.7 |
| 6. | Taking contraceptive pills can increase a woman’s risk of getting HIV. (FALSE) | 28.9 | 51.2 | 20.0 |
| 7. | Women at risk of getting HIV can use any methods of FP. (TRUE) | 64.8 | 18.5 | 16.8 |
| 8. | Women who think they are at risk of getting an STI or HIV should use condoms. (TRUE) | 93.6 | 2.1 | 4.2 |
| 9. | Women who think they are at risk of getting HIV and are using Depo-Provera should also use condoms. (TRUE) | 91.7 | 4.0 | 4.2 |
| 10. | Some research has found that women who use Depo- Provera and are exposed to HIV are slightly more likely than other women to get an HIV infection. (TRUE) | 66.5 | 15.7 | 17.8 |
| 11. | We do not know whether or not Depo-Provera c | 56.7 | 20.4 | 22.9 |
*p-value<0.05
Providers’ knowledge of HC-HIV counseling messages: Spontaneous response number and percent distribution of knowledge of HC-HIV counseling messages among twenty-six trained healthcare providers, Tanzania 2018.
| Depo-Provera may increase the risk of HIV. | 21 (81) |
| It is not known if Depo-Provera causes higher risk of HIV. | 19 (73) |
| Other contraceptives (such as pills and implants) do not appear to increase the risk of HIV. | 3 (12) |
| Women at risk of HIV can still use any method of FP. | 12 (46) |
| Women at risk of HIV who are using Depo-Provera should also use condoms. | 22 (85) |
| One | 1 (4) |
| Two | 6 (23) |
| Three | 14 (54) |
| Four | 3 (12) |
| Five | 2 (8) |
Providers’ knowledge of HC/HIV counseling messages: True/false number and percent distribution of correct knowledge of HC-HIV counseling messages among twenty-six trained healthcare providers, Tanzania 2018.
| Correctly answered Number (%) | ||
|---|---|---|
| 1. | Hormonal contraceptives, such as implants, pills, and Depo-Provera, are very effective in preventing unintended pregnancy when used consistently and correctly. (TRUE) | |
| 2. | Hormonal contraceptives, such as implants, pills, and Depo-Provera, are very effective in preventing STIs when used consistently and correctly. (FALSE) | 26 (100) |
| 3. | Dual-method use, using a condom with another FP method, will help prevent both unintended pregnancy and HIV/STIs. (TRUE) | 26 (100) |
| 4. | Using Depo-Provera may increase a woman’s risk of getting HIV. (TRUE) | 13 (50) |
| 5. | Using implants may increase a woman’s risk of getting HIV. (FALSE) | 22 (85) |
| 6. | Taking contraceptive pills can increase a woman’s risk of getting HIV. (FALSE) | 19 (73) |
| 7. | Women at risk of getting HIV can use any methods of FP. (TRUE) | 24 (92) |
| 8. | Women who think they are at risk of getting an STI or HIV should use condoms. (TRUE) | 26 (100) |
| 9. | Women who think they are at risk of getting HIV and are using Depo- Provera should also use condoms. (TRUE) | 26 (100) |
| 10. | Some research has found that women who use Depo-Provera and are exposed to HIV are slightly more likely than other women to get an HIV infection. (TRUE) | |
| 11. | We do not know whether or not Depo-Provera c | 26 (100) |
| 12. | All women, regardless of HIV status, have the right to choose the number, timing, and spacing of their pregnancies. (TRUE) | 26 (100) |
Results of interrupted time series regression, monthly totals of all FP clients in the ten pilot intervention facilities from September 2017 to November 2018, Tanzania 2018.
| All FP clients | Coefficient | Std. Err. | t | P>|t| | [95% conf. interval] | |
|---|---|---|---|---|---|---|
| Time (since start of period) | -3.402 | 26.192 | -0.13 | 0.899 | -61.050 | 54.245 |
| Intervention period | 349.197 | 220.408 | 2.58 | 0.141 | -135.918 | 834.312 |
| Interaction of time and intervention period (trend) | -248.598 | 66.987 | -3.71 | 0.003 | -396.035 | -101.161 |
| Constant | 1687.364 | 184.356 | 9.15 | 0.000 | 1281.599 | 2093.128 |
| Treated (pilot intervention) | -252.000 | 61.654 | -4.087 | 0.002 | -387.700 | -116.301 |
Regression with Newey-West standard errors. Maximum lag: 0
Fig 2Graph of total number of FP clients per month in the ten pilot intervention facilities from September 2017 through November 2018, Tanzania 2018.
Results of interrupted time series regression, monthly totals of injectable clients in the ten pilot intervention facilities from September 2017 to November 2018, Tanzania 2018.
| All FP clients | Coefficient | Std. Err. | t | P>|t| | [95% conf. interval] | |
|---|---|---|---|---|---|---|
| Time (since start of period) | -5.769 | 4.610 | -1.25 | 0.237 | -15.916 | 4.378 |
| Intervention period | 68.667 | 61.735 | 1.1 | 0.290 | -67.212 | 204.545 |
| Interaction of time and intervention period (trend) | 58.769 | 34.440 | 1.71 | 0.116 | -17.032 | 134.571 |
| Constant | 674.667 | 34.907 | 19.33 | 0.000 | 597.836 | 751.497 |
| Treated (pilot intervention) | 53.000 | 34.130 | -4.087 | 0.1487 | -22.119 | 128.119 |
Regression with Newey-West standard errors. Maximum lag: 0
Fig 3Graph of total number of Depo-Provera clients per month in the ten pilot intervention facilities from September 2017 through November 2018, Tanzania 2018.