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| Name | Class |
|---|---|
| Moi Univeristy | OTHER |
| World Bank | OTHER |
| Indiana University | OTHER |
| Harvard University |
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The purpose of proposed research is to implement a randomized study that will allow us to understand and address a number of key barriers to patient adherence as well as study the effects of better adherence on health and socio-economic outcomes.
Several studies have shown that proper adherence to treatment regimens is essential for the effectiveness of ARV therapy (e.g Wools-Kaloustian et al. 2006). There is also evidence in that in some treatment programs in Africa, adherence rates are not always high (Gill et al. 2005). Even in settings where adherence levels are found to be high, numerous factors have been identified as being relevant, although the causal effects are unknown (Castro, 2006). As ARV treatment programs are scaled up in Africa, it is essential to understand the socio-economic determinants of adherence to ARV treatment, as well as the impact of interventions to support high levels of adherence. A secondary objective of this study is to understand the socio-economic impacts of higher adherence.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Weekly SMS, brief message | Experimental | Weekly SMS received on Monday at 12 noon |
|
| Control Group | Active Comparator | Receives a phone, but no messages. |
|
| Daily SMS, Brief message | Experimental | Receive daily brief message at 12 noon: "This is your reminder" |
|
| Daily SMS, Long Message | Experimental | Receive a daily long message at 12 noon: "This is your reminder + encouragement" |
|
| Weekly SMS, Long Message | Experimental | Weekly message sent at 12 noon on Mondays: "This is your reminder + encouragement" |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Short Message Services to Support ARV therapy adherence | Behavioral | Short message services were sent to randomly selected consenting subjects on ARV therapy. The frequency and content of the message is varied in a factorial design. |
| Measure | Description | Time Frame |
|---|---|---|
| MEMS Adherence | 12 months follow up |
| Measure | Description | Time Frame |
|---|---|---|
| Frequency/incidence of ARV treatment interruptions | 12 months follow up |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| John Sidle, MD | Indiana University | Principal Investigator |
| Duncan Ngare, Phd | Moi University | Principal Investigator |
| Harsha Thirumurthy, Phd | University of North Carolina | Principal Investigator |
| Markus Goldstein, Phd | World Bank | Principal Investigator |
| Joshua Graff-Zivin, Phd | University of California, San Diego | Principal Investigator |
| Damien de Walque, Phd | World Bank | Principal Investigator |
| Cristian Pop-Eleches, Phd | Columbia University | Principal Investigator |
| David Bangsberg, MD | Harvard Medical School (HMS and HSDM) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chulaimbo Rural Health Center | Kisumu | Maseno District | Kenya |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 21252632 | Derived | Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, MacKeen L, Haberer J, Kimaiyo S, Sidle J, Ngare D, Bangsberg DR. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011 Mar 27;25(6):825-34. doi: 10.1097/QAD.0b013e32834380c1. |
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| ID | Term |
|---|---|
| D000163 | Acquired Immunodeficiency Syndrome |
| D055118 | Medication Adherence |
| D015658 | HIV Infections |
| ID | Term |
|---|---|
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
| D015229 | Sexually Transmitted Diseases, Viral |
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| Columbia University | OTHER |
| University of California, San Diego | OTHER |
| University of North Carolina | OTHER |
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| D012749 | Sexually Transmitted Diseases |
| D016180 | Lentivirus Infections |
| D012192 | Retroviridae Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D012897 | Slow Virus Diseases |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D007153 | Immunologic Deficiency Syndromes |
| D007154 | Immune System Diseases |
| D010349 | Patient Compliance |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |