Table 1
Socio-demographic characteristics of the 249 study participants from Soroti Regional Referral Hospital (SRRH), TASO-Soroti and Uganda cares-Soroti.
Variable | Frequency | P-value |
---|
| SRRH (n = 118), % | Uganda cares (n = 100), % | TASO (n = 31), % | |
---|
Median Age (IQR) | 22.0(21.0–24.0) | 23.0(21.0–24.0) | 22.0(20.0–23) | 0.182 |
Mean number of children (SD) | 2.1(1.0) | 2.2(0.9) | 1.6(0.8) | 0.048 |
Median age at ART initiation (IQR) | 19.0(18.0–21.0) | 19.0(17.0-20.5) | 19.0(9.0–21.0) | < 0.001 |
Marital Status | | | | < 0.001 |
Single | 15(12.7) | 10(10.0) | 14(45.2) | |
Married | 95(80.5) | 87(87.0) | 17(54.8) | |
Divorced | 6(5.1) | 3(3.0) | 0(0.0) | |
Widowed | 2(1.7) | 0(0.0) | 0(0.0) | |
Treatment supporter | | | | 0.350 |
Yes | 105(89.0) | 90(90.0) | 25(80.7) | |
No | 13(11.0) | 10(10.0) | 6(19.3) | |
Disclosure | | | | 0.350 |
Yes | 105(89.0) | 90(90.0) | 25(80.7) | |
No | 13(11) | 10(10.0) | 6(19.3) | |
Distance from H/C | | | | 0.001 |
0-5km | 71(60.2) | 67(67.0) | 13(41.9) | |
6-10km | 30(25.4) | 11(11.0) | 3(9.7) | |
11-20km | 8(6.8) | 11(11.0) | 6(19.4) | |
20-50km | 6(5.1) | 7(7.0) | 8(25.8) | |
> 50km | 3(2.5) | 4(4.0) | 1(3.2) | |
Table 2
Baseline clinical characteristics of the 249 participants from SRRH, TASO-Soroti and Uganda cares-Soroti.
Variable | Frequency | | | P-value |
| SRRH(n = 118) | Uganda cares(n = 100) | TASO(n = 31) | |
Infant HIV status | | | | 0.024 |
Positive | 2(1.7) | 0(0) | 1(3.2) | |
Negative | 116(98.3) | 99(99) | 28(90.3) | |
Unknown | 0(0) | 1 | 2(6.5) | |
Mean initial CD4 | 455.5 | 528.2 | 486.1 | < 0.001 |
Viral load at delivery | | | | 0.623 |
Non-suppressed | 3(3.1) | 1(1.1) | 1(3.4) | |
Suppressed | 93(96.9) | 86(98.9) | 28(96.4) | |
WHO stage at ART initiation | | | < 0.001 |
1 | 88(74.6) | 70(70) | 3(9.7) | |
2 | 27(22.9) | 29(29) | 1(90.3) | |
3 | 3(2.5) | 28 | 0(0) | |
WHO stage at delivery | | | | < 0.001 |
1 | 90(76.3) | 68(68) | 4(12.9) | |
2 | 28(23.7) | 32(32) | 27(87.1) | |
Infant PCR at 6 weeks | | | | 0.001 |
Yes | 102(86.4) | 88(88) | 19(61.3) | |
No | 16(13.6) | 12(12) | 12(38.7) | |
Table 3
Retention in care at the different time points for the 249 participants from SRRH, TASO-Soroti and Uganda cares-Soroti
Variable | Frequency(N = 249),% | 95%CI |
At 6 weeks | | |
Yes | 208 (83.5) | 78.4–87.7 |
No | 41(16.5) | 12.3–21.6 |
At 10 weeks | | |
Yes | 191 (76.7) | 71.0-81.6 |
No | 58(23.3) | 18.4–29.0 |
At 14 weeks | | |
Yes | 174 (69.9) | 63.9–75.3 |
No | 75 (30.1) | 24.7–36.1 |
At 5 months | | |
Yes | 139 (55.8) | 49.6–61.9 |
No | 110 (44.2) | 38.1–50.4 |
At 6 months | | |
Yes | 179 (71.9) | 65.9–77.2 |
No | 70 (28.1) | 22.8–34.1 |
At 9 months | | |
Yes | 190 (76.3) | 70.6–81.2 |
No | 59 (23.7) | 18.8–29.4 |
At 12 months | | |
Yes | 125 (50.2) | 44.0-56.4 |
No | 124 (49.8) | 43.6–56.0 |
At 15 months | | |
Yes | 58 (23.3) | 18.4–29.0 |
No | 191 (76.7) | 71.0-81.6 |
At 18 months | | |
Yes | 181 (72.7) | 66.8–77.9 |
No | 68 (27.3) | 22.1–33.2 |
Table 4
Retention in care by site at the different time points for the 249 participants from SRRH, TASO-Soroti and Uganda cares-Soroti
| SRRH | Uganda Cares | TASO |
| n = 118(%) | n = 100(%) | n = 31(%) |
At 6 weeks | | | |
Yes | 102(86.4) | 88(88) | 18(58.1) |
No | 16(13.6) | 12(12) | 13(41.9) |
At 10 weeks | | | |
Yes | 102(86.4) | 76(76) | 13(41.9) |
No | 16(13.6) | 24(24) | 18(58.1) |
At 14 weeks | | | |
Yes | 84(71.2) | 72(72) | 18(58.1) |
No | 34(28.8) | 28(28) | 13(41.9) |
At 5 months | | | |
Yes | 69(58.5) | 60(60) | 10(32.3) |
No | 49(41.5) | 40(40) | 21(67.7) |
At 6 months | | | |
Yes | 99(83.9) | 64(64) | 16(51.6) |
No | 19(16.1) | 36(36) | 15(48.4) |
At 9 months | | | |
Yes | 89(75.4) | 78(78) | 23(74.2) |
No | 29(24.6) | 22(22) | 8(25.8) |
At 12 months | | | |
Yes | 58(49.2) | 52(52) | 15(48.4) |
No | 60(50.8) | 48(48) | 16(51.6) |
At 15 months | | | |
Yes | 32(27.1) | 22(22) | 4(12.9) |
No | 86(72.9) | 78(78) | 27(87.1) |
At 18 months | | | |
Yes | 82(69.5) | 83(83) | 16(51.6) |
No | 36(30.5) | 17(17) | 15(48.4) |
Table 5
Bivariate analysis of independent factors associated with retention in care for the 249 participants from Soroti Regional Referral Hospital, TASO and Uganda cares-Soroti.
Variable | Category | cOR, (95%CI) | P-value |
Age | | 1.15 (1.01,1.32) | 0.045 |
CD4 count at initiation | | 1.00 (1.00,1.00) | 0.06 |
Viral load at delivery | Non suppressed | Ref | Ref |
| Suppressed | 2.64 (1.50, 4.63) | 0.018 |
Infant PCR at 6 weeks | Yes | Ref | Ref |
| No | 0.27 (0.15,0.50) | 0.011 |
Table 6
Multivariate analysis of the factors associated with retention in care among the 249 participants from Soroti Regional Referral Hospital, TASO and Uganda cares.
Variable | Category | aOR, (95%CI) | P-value |
Infant PCR at 6 weeks | Yes | Ref | Ref |
| No | 0.27 (0.15, 0.50) | 0.011 |
From Table 8 above, mothers whose infants did not have PCR done at 6 weeks were 0.27 times as likely to be retained in care as those whose infants had PCR done at 6 weeks.
4.3 Qualitative results
Table 7
Characteristics of the 18 participants that were interviewed from Soroti Regional Referral Hospital, TASO and Uganda cares-Soroti
ID | Age | Marital status | Highest level of education | Employment status | Length of stay in care(years) |
P01 | 20 | single | diploma | social worker | 5 |
P02 | 21 | single | secondary | peasant | 9 |
P03 | 24 | married | secondary | peasant | 4 |
P04 | 23 | single | secondary | peasant | 5 |
P05 | 20 | married | certificate | lab assistant | 3 |
P06 | 21 | married | diploma | peasant | 9 |
P07 | 21 | married | secondary | peasant | 2 |
P08 | 22 | married | primary | peasant | 4 |
P09 | 23 | married | secondary | teacher | 10 |
P10 | 24 | married | diploma | teacher | 2 |
P11 | 24 | single | certificate | social worker | 10 |
P12 | 24 | married | secondary | peasant | 5 |
P13 | 21 | married | secondary | peasant | 3 |
P14 | 21 | married | primary | peasant | 6 |
P15 | 22 | married | secondary | peasant | 2 |
P16 | 23 | married | certificate | teacher | 17 |
P17 | 24 | married | secondary | peasant | 3 |
P18 | 20 | married | primary | peasant | 2 |
From table 9 above, all participants were above 18 years. Majority were married (77.8%), had at least secondary education (83.3%) and unemployed (72.2%).
Table 8
a; Predisposing factors associated with retention in care.
ANBM Characterization | Themes | Sub-themes | Codes |
Predisposing factors | Attitude of young mothers towards ART | Knowledge about benefits of retention | husband also become positive and child, stay like people, stay suppressed |
| | Attitude towards medication | medicine is life, now used to the medicine, would have died without medicine |
| Disclosure | support from friends | told a friend of mine, my friends advised me to start medication, my friends is always by my side |
| | spousal support | husband supports me, husband brings me to facility, husband encourages |
| | support from family members | my dad counseled me, my father picks my drugs, my sister helps with my son |
Table 8
b: Enabling and Need factors associated with retention in care.
ANBM Characterization | Themes | Sub-themes | Codes |
Enabling factors | Accessibility to health facility | Transport costs | had no transport, borrow money for transport |
| | Means of transport | transport to facility was difficult, motorcycle was down |
| | work for transport | do lay work to get transport, taken up by work, no time to come |
| Support from health facility | Adequate counseling | counseled properly, counseling until I understood, counseled me again |
| | Counseling before medication | counseled me and started medication, after counseling I started medication |
Need factors | Perceived needs | Desire to stay alive | to live longer, want to live, stay like other people |
| | Friendly health workers | nurses are happy with me, they serve me well, thank you for loving us, treating us well |
| | To be able to care for their children | bring up my child, pay my son's school fees, children see me when they grow |
| Evaluated needs | intention to remain in care | mark date, remind me of date |
Predisposing factors
There were 2 key themes that emerged from the qualitative data that describe predisposing factors to retention in care
Attitude of the young mothers towards ART; most of the young mothers are aware of ART and the benefits of attending ART that informs their retention in care as directed by the clinic as highlighted below;
“My husband is negative and I am positive, if I do not follow the taking of my medication, then my husband will also become positive and my child.” (P5)
“I also want to stay like people; I do not want to fall sick like that. So I have to keep so that I don’t miss because if you miss, you will fall sick then you will not do anything again.” (P11)
Disclosure
Presence of social support; the respondents indicated to have support from spouse, family members or friends they had disclosed to. The support/ help got encouraged and enabled them to stay in care as quoted below;
“Yes, my husband supports me. He gives me money for transport.” (P6)
“My husband brings me to the facility to pick medication; he advises me and encourages me, my parents as well.” (P10)
Enabling factors
The key themes were accessibility of the treatment facility and presence of support from the health facility.
Accessibility of the facility; the major challenge expressed by majority of the young mothers was transport costs that also encompassed difficulty in accessing means for transport especially for the frequent visits that contributed to reduced retention at the different time points as cited below;
“Getting money for transport is the problem. You have to do lay work just. The way of coming to the hospital is very difficult. My husband sometimes he gives you when he has but sometimes not. Like today when I asked, he said he doesn’t have, so I had to look for a way, you have to borrow money for transport to come.” (P14)
“I work in the private sector; last month we were not paid so I did not have transport. Even the motorcycle at home was down, so my husband could not bring me.” (P4)
Presence of support from the treatment facility
Majority of the respondents said they received adequate support especially in the form of ART counseling at initiation and also during consecutive visits that encouraged them to adhere to their visits as cited below;
“I was counseled properly, then after that I started treatment.” (P5)
“I felt like dying, I felt pain, I felt life was over, I felt bad. But since they counseled me and I started medication, I got calm.” (P8)
Need factors
The themes that emerged were the individual’s perceived needs and evaluated needs.
Perceived needs; when asked about their motivation for remaining in care, the following reasons were given
Desire to stay alive as cited below;
“It’s because I want to live a long life and keep my baby and my spouse also from contracting the disease.” (P5)
Friendly health workers; good relationship with the health workers also encouraged the young mothers to always attend their visits as highlighted below;
“The nurses are happy with me. They know me, when I come they just pick my file. If I delay, sometimes I have excess, when they call me, I say am coming.” (P8)
“They are usually friendly and when there are maybe no drugs; they usually get an option for me” (P5)
To be able to care for their children as noted below;
“To maintain my health and to make me strong so that I can bring up my children” (P15)
Evaluated needs; intention to remain in care
Some women responded that they always mark the date of their visit and also some ask their relatives to always remind them of the time to take medication showing their intention to always adhere to care as cited below;
“Before I come, I always check my card to remind me of the date of coming back and I always thank God when I remember I have to mark that date that on such and such a date, I have to go back.” (P1)