| Literature DB >> 24143931 |
Florence Kinyua1, Michael Kiptoo, Gideon Kikuvi, Joseph Mutai, Adrienne F A Meyers, Peter Muiruri, Elijah Songok.
Abstract
BACKGROUND: Clinical trials were conducted to assess the feasibility of using a cell phone text messaging-based system to follow up Human Immunodeficiency Virus (HIV) infected patients on antiretroviral (ARTs) and assess for improved adherence to their medication. However there is need to evaluate the perceptions of the HIV infected patients towards the use of these cell phones in an effort to better aid in the clinical management of their HIV infection. The objective of this study was therefore to determine the perceptions of HIV infected patients on the use of cell phone text messaging as a tool to support adherence to their ART medication.Entities:
Mesh:
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Year: 2013 PMID: 24143931 PMCID: PMC4016520 DOI: 10.1186/1471-2458-13-987
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Access and current use of cell phones among the sampled HIV infected patients
| Yes | 497 (99.4) | 193 (100) | 304 (99.4) |
| No | 3 (0.6) | 0 (0.0) | 3 (0.6) |
| Yes | 420 (84.3) | 163 (84.9) | 257 (84.0) |
| No | 78 (15.7) | 29 (15.1) | 49 (16.0) |
| Yes | 299 (59.8) | 98 (50.8) | 201 (65.5) |
| No | 201 (40.2) | 95 (49.2) | 106 (34.5) |
| Waking up | 277 (76.7) | 91 (73.4) | 186 (78.5) |
| Reminder to take drugs | 53 (14.7) | 18 (14.5) | 35 (14.8) |
| Reminder for important events | 31 (8.6) | 15 (12.1) | 16 (6.8) |
Established perceptions towards cell phone as a tool for supporting ARV adherence
| Support the idea | 99.2 (YES) | 0.8 (NO) |
| Phone affordability | 55.0 (YES) | 45.0 (NO) |
| Confidentiality infringement | 92.0 (NO) | 8.0 (YES) |
| Language problem | 62.0 (NO) | 38.0 (YES) |
| Anticipation of an hindrance | 66.5 (NO) | 33.5 (YES) |
| Anticipation of a benefit | 98.4 (YES) | 1.6 (NO) |
| TOTAL | 473.1 | 126.9 |
| Overall perception (%) |
Figure 1Confidentiality infringement.
Figure 2The preferred language for communication.
Figure 3Anticipation of a language problem.
Figure 4Anticipated benefits from the doctor-patient communication.
Participants response towards the mode of communication
| Yes | 495 (99.2) | 190 (99.0) | 305 (99.3) |
| No | 4 (0.8) | 2 (1.0) | 2 (0.7) |
| Drugs reminder | 28 (3.0) | 10 (2.7) | 18 (3.2) |
| Communicate side effects | 266 (28.4) | 106 (28.9) | 160 (28.1) |
| Medical advice | 434 (46.4) | 171 (46.6) | 263 (46.2) |
| Inquire appointments | 183 (19.6) | 70 (19.1) | 113 (19.9) |
| Gets healthcare provider’s updates | 25 (2.7) | 10 (2.7) | 15 (2.6) |
| Own phone | 496 (99.4) | 192 (99.5) | 304 (99.3) |
| New phone | 2 (0.4) | 0 (0.0) | 2 (0.7) |
| None | 1 (0.2) | 1 (0.5) | 0 (0.0) |
| Calling the hospital | 359 (72.1) | 130 (67.7) | 229 (74.8) |
| Sending SMS to hospital | 9 (1.8) | 4 (2.1) | 5 (1.6) |
| Calling & texting the hospital | 129 (25.9) | 58 (30.2) | 71 (23.2) |
| Being called or texted by the hospital | 1 (0.2) | 0 (0.0) | 1 (0.3) |
| Yes | 261 (52.3) | 111 (57.5) | 150 (49.0) |
| No | 229 (45.9) | 82 (42.5) | 147 (48.0) |
| Don’t know | 9 (1.8) | 0 (0.0) | 9 (1.8) |
| Yes | 167 (33.4) | 66 (34.2) | 101 (32.9) |
| No | 333 (66.6) | 127 (65.8) | 206 (67.1) |
| Affect confidentiality | 31 (19.5) | 10 (16.7) | 21 (21.2) |
| Network problems | 53 (33.3) | 26 (43.3) | 27 (27.3) |
| Language problem | 52 (32.7) | 20 (33.3) | 32 (32.3) |
| Un-cooperative healthcare provider | 23 (14.5) | 4 (6.7) | 19 (19.2) |
Association of the confidentiality infringement with the social demographic characteristics
| | | | 2.548 | 1.110 | 5.848 | ||
| ≤ 30 yrs | 9 | 74 | 2.050 | 1.151 | 3.652 | ||
| >30 yrs | 19 | 398 | 0.805 | 0.622 | 1.041 | ||
| | | | 0.513 | 0.214 | 1.230 | 0.129 | |
| Male | 7 | 186 | 0.634 | 0.331 | 1.217 | ||
| Female | 21 | 286 | 1.238 | 0.987 | 1.551 | ||
| | | | 0.957 | 0.322 | 2.843 | 0.937 | |
| Educated | 24 | 402 | 1.006 | 0.861 | 1.176 | ||
| Non Educated | 4 | 70 | 0.963 | 0.379 | 2.448 | ||
| | | | 0.617 | 0.286 | 1.322 | 0.216 | |
| Married | 12 | 259 | 0.781 | 0.505 | 1.207 | ||
| Un-married | 16 | 213 | 1.266 | 0.905 | 1.772 | ||
| | | | 0.579 | 0.269 | 1.244 | 0.158 | |
| Employed | 15 | 189 | 1.338 | 0.931 | 1.922 | ||
| Un-employed | 13 | 283 | 0.774 | 0.517 | 1.161 | ||
Association of cell phone affordability with the social demographic characteristics of the respondents
| | | | 0.995 | 0.621 | 1.596 | 0.985 | |
| ≤ 30 yrs | 44 | 39 | 0.996 | 0.672 | 1.477 | ||
| >30 yrs | 221 | 195 | 1.001 | 0.925 | 1.083 | ||
| | | | 1.336 | 0.929 | 1.921 | 0.120 | |
| Male | 111 | 82 | 1.195 | 0.955 | 1.497 | ||
| Female | 154 | 152 | 0.895 | 0.719 | 1.028 | ||
| | | | 0.366 | 0.217 | 0.618 | ||
| Educated | 241 | 184 | 1.157 | 1.071 | 1.249 | ||
| Non educated | 24 | 50 | 0.424 | 0.269 | 0.667 | ||
| | | | 1.343 | 0.943 | 1.913 | 0.102 | |
| Married | 153 | 118 | 1.145 | 0.972 | 1.348 | ||
| Un-married | 112 | 116 | 0.853 | 0.704 | 1.032 | ||
| | | | 0.464 | 0.321 | 0.669 | ||
| Employed | 131 | 73 | 1.585 | 1.264 | 1.986 | ||
| Un-employed | 134 | 161 | 0.735 | 0.634 | 0.851 | ||
Association of language problem with the social demographic status of the respondents
| | | | 0.380 | 0.213 | 0.678 | ||
| ≤ 30 yrs | 16 | 67 | 0.436 | 0.261 | 0.728 | ||
| > 30 yrs | 161 | 256 | 1.148 | 1.067 | 1.234 | ||
| | | | 0.761 | 0.520 | 1.114 | 0.160 | |
| Male | 61 | 132 | 0.843 | 0.662 | 1.074 | ||
| Female | 116 | 191 | 1.108 | 0.963 | 1.275 | ||
| | | | 23.412 | 10.895 | 50.311 | ||
| Educated | 111 | 315 | 0.643 | 0.573 | 0.721 | ||
| Non Educated | 66 | 8 | 15.055 | 7.398 | 30.637 | ||
| | | | 0.812 | 0.562 | 1.172 | 0.266 | |
| Married | 90 | 181 | 0.907 | 0.762 | 1.080 | ||
| Un-married | 87 | 142 | 1.118 | 0.921 | 1.357 | ||
| | | | 6.371 | 4.025 | 10.085 | ||
| Employed | 28 | 176 | 0.290 | 0.204 | 0.414 | ||
| Un-employed | 149 | 147 | 1.850 | 1.616 | 2.118 | ||
Association of perceptions towards cell phone reminder with the social demographic characteristics
| | | | 3.243 | 1.670 | 6.299 | ||
| ≤ 30 yrs | 16 | 66 | 2.446 | 1.556 | 3.844 | ||
| > 30 yrs | 29 | 388 | 0.754 | 0.605 | 0.940 | ||
| | | | 0.618 | 0.316 | 1.210 | 0.158 | |
| Male | 13 | 180 | 0.729 | 0.454 | 1.168 | ||
| Female | 32 | 274 | 1.178 | 0.964 | 1.440 | ||
| | | | 0.697 | 0.266 | 1.830 | 0.463 | |
| Educated | 40 | 385 | 1.048 | 0.939 | 1.171 | ||
| Non Educated | 5 | 69 | 0.731 | 0.311 | 1.718 | ||
| | | | 0.390 | 0.204 | 0.745 | ||
| Married | 15 | 255 | 0.593 | 0.390 | 0.904 | ||
| Un-married | 30 | 199 | 1.521 | 1.207 | 1.917 | ||
| | | | 1.154 | 0.614 | 2.168 | 0.658 | |
| Employed | 17 | 187 | 0.917 | 0.621 | 1.356 | ||
| Un-employed | 28 | 267 | 1.058 | 0.832 | 1.345 | ||
Association of perceptions towards alarm use with social demographic characteristics
| | | | 4.421 | 2.372 | 8.239 | ||
| ≤ 30 yrs | 70 | 13 | 3.620 | 2.059 | 6.364 | ||
| > 30 yrs | 299 | 188 | 0.819 | 0.762 | 0.880 | ||
| | | | 0.544 | 0.377 | 0.786 | ||
| Male | 13 | 180 | 0.693 | 0.557 | 0.863 | ||
| Female | 32 | 274 | 1.275 | 1.094 | 1.485 | ||
| | | | 0.195 | 0.113 | 0.338 | ||
| Educated | 40 | 385 | 1.276 | 1.167 | 1.395 | ||
| Non Educated | 5 | 69 | 0.249 | 0.154 | 0.403 | ||
| | | | 0.622 | 0.422 | 0.894 | ||
| Married | 15 | 255 | 0.809 | 0.690 | 0.948 | ||
| Un-married | 30 | 199 | 1.301 | 1.058 | 1.600 | ||
| | | | 0.512 | 0.352 | 0.744 | ||
| Employed | 17 | 187 | 1.505 | 1.187 | 1.907 | ||
| Un-employed | 28 | 267 | 0.770 | 0.668 | 0.887 | ||