| Literature DB >> 31638936 |
Tamrat Endebu1, Alem Deksisa1, Warku Dugasa1, Ermiyas Mulu2, Tilahun Bogale1,3.
Abstract
BACKGROUND: People living with HIV/AIDS are facing sub-optimal adherence to antiretroviral therapy. Short message service innovative strategies have been recommended by the national strategy to support medication adherence among HIV positive people. Thus, this study was conducted to examine the feasibility and acceptability of a short message service to improve medication adherence among people living with HIV/AIDS receiving Antiretroviral Treatment.Entities:
Keywords: Acceptability; People living with HIV/AIDS; Short service message
Year: 2019 PMID: 31638936 PMCID: PMC6805404 DOI: 10.1186/s12889-019-7687-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sociodemographic characteristics of study participants (n = 420)
| Variable | Categories | frequency | Percent |
|---|---|---|---|
| Sex | Male | 178 | 42.4 |
| Female | 242 | 57.6 | |
| Age (year) | 15–30 | 163 | 38.8 |
| 31–45 | 209 | 49.8 | |
| > 45 | 48 | 11.4 | |
| Marital status | Single | 60 | 14.3 |
| Married | 190 | 45.2 | |
| Divorced | 102 | 24.3 | |
| Widowed | 68 | 16.2 | |
| Education | No formal education | 143 | 34.0 |
| Primary | 122 | 29.1 | |
| Secondary and above | 155 | 36.9 | |
| Employement status | Unemployed | 106 | 25.2 |
| Employed | 314 | 74.8 | |
| Income (ETB) | <=1000 | 210 | 53.3 |
| > 1000 | 184 | 46.7 | |
| Living condition | Living alone | 105 | 25.1 |
| Living with spouse/ family/parent | 314 | 74.9 | |
| Residence | Urban | 337 | 80.2 |
| Rural | 83 | 19.8 | |
| Owning a mobile phone | Yes | 394 | 93.8 |
| No | 26 | 6.2 |
Clinical and lifestyle characteristics of respondents (n = 420)
| Characteristics | Categories | Number | Percent |
|---|---|---|---|
| Time since HIV diagnosed | < 6 Years | 103 | 24.5 |
| 6 to 8 years | 114 | 27.1 | |
| 9 to11 years | 102 | 24.3 | |
| ≥ 12 years | 101 | 24.1 | |
| Time since started ART | < 6 years | 130 | 31 |
| 6 to 8 years | 121 | 28.8 | |
| 9 to 11 years | 95 | 22.6 | |
| ≥ 12 years | 74 | 17.6 | |
| Frequency of ART Clinic visit | Every month | 91 | 21.7 |
| > One Month | 329 | 78.3 | |
| Missed healthcare appointment (with in the last 12 months) | Yes | 63 | 15 |
| No | 357 | 85 | |
| Missed to take medication (within the last three months) | Yes | 39 | 9.3 |
| No | 381 | 90.7 | |
| Disclosed HIV status | Yes | 232 | 55.2 |
| No | 188 | 44.8 | |
| substances use (Alcohol, khat, smoking) | Yes | 26 | 6.2 |
| No | 394 | 93.8 |
Feasibility and acceptability of SMS on adherence to ART medication (n = 394)
| Variable | Categories | Frequency | Percent |
|---|---|---|---|
| Having a mobile phone always | Always | 333 | 84.5 |
| Not always | 61 | 15.5 | |
| Using more than one phone numbers | Yes | 99 | 25.1 |
| No | 295 | 74.9 | |
| Ever lost mobile phone | Yes | 155 | 39.3 |
| No | 239 | 60.7 | |
| Regular time switch off /out of mobile phone service | Yes | 88 | 22.3 |
| No | 306 | 77.7 | |
| Using mobile phone password | Yes | 73 | 18.5 |
| No | 321 | 81.5 | |
| Share mobile phone with another person | Yes | 69 | 17.5 |
| No | 325 | 82.5 | |
| Ability to read a message on mobile phone | Yes | 283 | 71.8 |
| No | 111 | 28.2 | |
| Ability to send a message using a mobile phone | Yes | 236 | 59.9 |
| No | 158 | 40.1 | |
| Perceiving the likelihood of SMS seen by others (Perceived confidentiality of SMS) | Likely | 143 | 36.3 |
| Unlikely | 251 | 63.7 | |
| Using internet on a mobile phone | Yes | 65 | 16.5 |
| No | 329 | 83.5 | |
| Believe SMS will improve their adherence | Yes | 321 | 81.5 |
| No | 73 | 18.5 | |
| Willingness to accept SMS from ART Clinic | Yes | 358 | 90.9 |
| No | 36 | 9.1 | |
| Willing to pay for SMS ( | Yes | 232 | 64.8 |
| No | 126 | 35.2 | |
| Satisfied set criteria for SMS feasibility | Yes | 203 | 62.5 |
| No | 122 | 37.5 |
Fig. 1types of SMS that patients on ART would like to have if the ART Clinic starts SMS based intervention
Socio-demographic characteristics of HIV positive participants involved in FGD (n = 20)
| Characteristics | Categories | Frequency | Percent |
|---|---|---|---|
| Sex | Male | 11 | 55.0 |
| Female | 9 | 45.0 | |
| Marital status | Single | 4 | 20.0 |
| Married | 2 | 10.0 | |
| Divorced | 5 | 25.0 | |
| Widowed | 8 | 40.0 | |
| Education | No formal education | 2 | 10.0 |
| Primary | 4 | 20.0 | |
| Secondary | 10 | 50.0 | |
| College and higher | 4 | 20.0 | |
| Own Mobile phone | Yes | 18 | 90.0 |
Factors associated with the acceptability of SMS to improve medication adherence among patients on ART
| Variables | Accept SMS from ART Clinic | Logistic regression |
| ||
|---|---|---|---|---|---|
| Yes | No | COR(95%CI) | AOR(95%CI) | ||
| Sex | |||||
| Male | 162 (94.2) | 10 (5.8) | 2.15 (1.01–4.59)* | 2.04 (0.78–5.22) | 0.23 |
| Female | 196 (88.3) | 26 (11.7) | |||
| Age | |||||
| 15–30 | 143 (93.5) | 10 (6.5) | 3.18 (1.17–8.63)* | 6.63 (1.79–24.53)** | 0.031 |
| 31–45 | 179 (90.9) | 18 (9.1) | 2.21 (0.89–5.47) | 3.3 (1.07–10.19)** | |
| > 45 | 36 (81.8) | 8 (18.2) | |||
| Education | |||||
| No formal education | 110 (85.3) | 19 (14.7) | 0.32 (0.14–0.76)* | 0.59 (0.17–2.06) | |
| Primary | 104 (92) | 9 (8) | 0.64 (0.24–1.72) | 0.82 (0.22–3.07) | 0.14 |
| Secon/higher | 144 (94.7) | 8 (5.3) | |||
| Visit ART Clinic | |||||
| Every month | 67 (81.7) | 15 (18.3) | 0.32 (0.16–0.67)* | 0.31 (0.12–0.78)** | 0.001 |
| > One Month | 291 (93.3) | 21 (6.7) | |||
| Disclose HIV status | |||||
| Yes | 206 (94.5) | 12 (5.5) | 2.71 (1.31–5.59)* | 3.15 (1.26–7.89)** | 0.014 |
| No | 152 (86.4) | 24 (13.6) | |||
| Having a mobile phone | |||||
| Always | 311 (93.4) | 22 (6.6) | 4.21 (2.02–8.79)* | 2.95 (1.03–8.40)** | 0.027 |
| Not always | 47 (77.0) | 14 (23.0) | |||
| Time regularly switch off | |||||
| Yes | 74 (84.1) | 14 (15.9) | 0.41 (0.20–0.84)* | 0.59 (0.24–1.50) | 0.081 |
| No | 284 (92.8) | 22 (7.2) | |||
| Share mobile phone with others | |||||
| Yes | 69 (80.2) | 17 (19.8) | 0.27 (0.13–0.54)* | 0.61 (0.23–1.62) | 0.29 |
| No | 289 (93.8) | 19 (6.2) | |||
| Perceived SMS confidentiality | |||||
| Low | 114 (79.7) | 29 (20.3) | 0.11 (0.05–0.27)* | 0.30 (0.11–0.86)** | 0.005 |
| High | 244 (97.2) | 7 (2.8) | |||
| Ability to read SMS | |||||
| Yes | 270 (95.4) | 13 (4.6) | 5.43 (2.64–11.17)* | 1.57 (0.49–4.96) | 0.151 |
| No | 88 (79.3) | 23 (20.7) | |||
| Believe SMS aid adherence | |||||
| Yes | 304 (94.7) | 17 (5.3) | 6.29 (3.08–12.87)* | 4.36 (1.59–11.97)** | 0.019 |
| No | 54 (74) | 19 (26) | |||
* = significant at p < 0.05 at uniariable level, ** = significant at p < 0.05 at multivariable level
Categories and Codes identified in the qualitative analysis
| Categories | Code | Frequency of mentioned | Percent |
|---|---|---|---|
| The potential usefulness of SMS | Accessibility | 10 | 50% |
| Familiarity with SMS | 3 | 15% | |
| Perceived benefit | 6 | 30% | |
| Acceptability to support adherence | Acceptance | 11 | 55% |
| Ease of use / Convenience / | 2 | 10% | |
| Self-efficacy | 1 | 5% | |
| Disclosure of HIV status | 5 | 25% | |
| Barriers to use SMS as adherence | Confidentiality | 14 | 70% |
| Lack of education/ Mobile phone literacy | 4 | 20% | |
| Availability/Access | 3 | 15% | |
| Affordability | 3 | 15% | |
| Stigma and discrimination | 5 | 25% | |
| Suggesting/framing of SMS | Confidentiality of messages | 9 | 45% |
| Personalization of messages | 7 | 35% |