| Literature DB >> 34914769 |
Tacilta Nhampossa1,2, Sheila Fernández-Luis1,3, Laura Fuente-Soro1,3, Edson Bernardo1,4, Arsenio Nhacolo1, Orvalho Augusto1, Ariel Nhacolo1, Charfudin Sacoor1, Anna Saura-Lázaro3, Elisa Lopez-Varela1,3, Denise Naniche1,3.
Abstract
INTRODUCTION: Manhiça District, in Southern Mozambique harbors high HIV prevalence and a long history of migration. To optimize HIV care, we sought to assess how caregiver's mobility impacts children living with HIV (CLHIV)´s continuation in HIV care and to explore the strategies used by caregivers to maintain their CLHIV on antiretroviral treatment (ART).Entities:
Mesh:
Substances:
Year: 2021 PMID: 34914769 PMCID: PMC8675651 DOI: 10.1371/journal.pone.0261356
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Study profile showing number of patients and reason for not recruiting (December 2017—February 2018).
Socio-demographic and clinical characteristics of children and their caregivers according to the caregiver’ mobility history at the enrolment, number (percentages).
| Characteristics | Caregiver mobility history | Total | P value1 | P value2 | |
|---|---|---|---|---|---|
| Yes | No | ||||
| Child | |||||
| Age in years: median (IQR) | 7.7 (4.9–10.4) | 8.0 (10.7–4.7) | 7.8 (4.9–10.5) | 0.947 | |
| Age group (in years) | |||||
| 0–4 | 30 (26) | 31 (27) | 61 (27) | ||
| 5–9 | 103 (43) | 53 (46) | 103 (44) | ||
| ≥10 | 37 (31) | 31 (27) | 68 (29) | 0.257 | 0.735 |
| Child sex | |||||
| Male | 58 (50) | 63 (55) | 121 (52) | ||
| Female | 59 (50) | 52 (45) | 111 (48) | 0.125 | 0.427 |
| Child’s vaccination status | |||||
| Yes | 91 (78) | 83 (72) | 174 (75) | ||
| No | 4 (3) | 3 (3) | 7 (3) | ||
| Don t know | 21 (18) | 29 (25) | 50 (22) | 0.379 | 0.409 |
| Time period on ARVs | |||||
| At least 1 year | 21 (18) | 16 (14) | 37 (16) | ||
| More than 2 years | 96 (82) | 98 (86) | 194 (84) | 0.273 | 0.417 |
| School—daycare attendance | |||||
| Yes | 75 (64) | 80 (70) | 155 (67) | ||
| No | 18 (15) | 17 (15) | 35 (15) | ||
| No information | 24 (21) | 18 (15) | 42 (18) | 0.210 | 0.598 |
| Child primary caregiver | |||||
| Mother | 76 (65) | 94 (81) | 170 (73) | ||
| Grandfather/grandmother | 9 (8) | 3 (3) | 12 (5) | ||
| Father | 24 (20) | 10 (9) | 34 (15) | ||
| Brother or sister | 3 (3) | 2 (2) | 5 (2) | ||
| Aunt or uncle | 5 (4) | 6 (5) | 11 (5) | 0.017 | 0.027 |
| Caregiver | |||||
| Formal education | |||||
| No formal education | 47 (40) | 44 (38) | 91 (39) | ||
| Some formal education | 70 (60) | 71 (62) | 141 (61) | 0.696 | 0.766 |
| Fixed salary | |||||
| Yes | 58 (50) | 31 (27) | 89 (38) | ||
| No | 59 (50) | 84 (73) | 143 (62) | <0.001 | <0.001 |
| Religion | |||||
| Other Christian | 69 (59) | 60 (53) | 129 (56) | ||
| Zione | 27 (23) | 30 (26) | 27 (25) | ||
| Protestants / Anglicans | 18 (15) | 21 (18) | 18 (17) | ||
| Islam | 3 (3) | 3 (3) | 3 (2) | 0.836 | 0.807 |
| Number cellphone | |||||
| None | 13 (11) | 17 (15) | 30 (13) | ||
| Only one | 94 (80) | 97 (84) | 191 (82) | ||
| More than one | 10 (9) | 1 (1) | 11 (5) | 0.011 | 0.019 |
* Pairing variable; 1 Conditional logistic analysis; 2 Chi-squared or Fisher’s for categorical variables and Mann-Whitney U test for continuous variables.
Migration patterns of HIV children’s caregivers enrolled in care at Manhiça District Hospital.
| Characteristics | N (%) |
|---|---|
| Destination of mobility | |
| Internal migration | 82 (70) |
| External migration | 35 (30) |
| Which province if internal migration N = 82 | |
| Maputo City | 45 (55) |
| Gaza | 19 (23) |
| Maputo Province | 7 (9) |
| Other provinces | 11 (13) |
| Which country if external migration N = 35 | |
| South Africa | 34 (97) |
| Multiple countries (South Africa—Malawi—Eswatini) | 1 (3) |
| Have a passport if external migration | |
| Yes | 24 (69) |
| No | 11 (31) |
| Number of mobility events (over the last 12 months) | |
| 2–5 times | 114 (97) |
| Once a week | 3 (2) |
| Once a month | 1 (1) |
| Length stay at destination | |
| Less than a week | 53 (45) |
| Less than 15 days | 28 (24) |
| From 15 days to 3 months | 24 (21) |
| From 3 to 9 months | 11 (9) |
| More than 9 months | 1 (1) |
| Reason of the mobility | |
| Work or business or looking for opportunities | 48 (41) |
| Visit or support for relatives | 32 (27) |
| Following the partner | 14 (12) |
| Religious ceremonies | 10 (9) |
| Others (studies, alternative residency and undisclosed reasons) | 13 (11) |
| Residence at the destination | |
| Family house | 53 (45) |
| Own house | 36 (31) |
| Rented house | 22 (19) |
| Job house or church or institute | 6 (5) |
| The child moved with the caretaker | |
| Yes | 41 (35) |
| No | 76 (65) |
Fig 2Strategies used by caregiver s to retain their children in HIV care and ART among those with mobility history.
Impacts of caregiver´s mobility on child´s health and HIV care during the mobility events period.
| Characteristics | Mobility history | OR | 95%CI | P value | ||
|---|---|---|---|---|---|---|
| Yes | No | Total | ||||
| Reported sickness | ||||||
| No | 64 (55) | 72 (63) | 136 (59) | |||
| Yes | 52 (45) | 42 (37) | 94 (41) | 1.38 | 0.79–2.42 | 0.257 |
| Hospitalization | ||||||
| No | 106 (91) | 105 (91) | 211 (91) | |||
| Yes | 11 (9) | 10 (9) | 21 (9) | 1.13 | 0.43–2.92 | 0.808 |
| ART missed days doses | ||||||
| No | 97 (83) | 103 (90) | 200 (86) | |||
| Yes | 20 (17) | 12 (10) | 32 (14) | 1.73 | 0.82–3.63 | 0.142 |
| ART pick-up delays | ||||||
| No | 65 (60) | 63 (59) | 128 (60) | |||
| Yes | 43 (40) | 44 (41) | 87 (40) | 0.81 | 0.48–1.37 | 0.422 |
| LTFU | ||||||
| No | 71 (66) | 79 (74) | 150 (70) | |||
| Yes | 37 (34) | 28 (26) | 65 (30) | 1.53 | 0.80–2.94 | 0.193 |
1Reported by the caregiver
2According to hospital records
3Conditional logistic analysis (not adjusted).