| Literature DB >> 27026145 |
Gretchen J Domek1, Ingrid L Contreras-Roldan2, Sean T O'Leary3, Sheana Bull4, Anna Furniss5, Allison Kempe6, Edwin J Asturias7.
Abstract
BACKGROUND: Patient reminder systems are an evidence-based way to improve childhood vaccination rates but are difficult to implement in low- and middle-income countries (LMICs). Short Message Service (SMS) texts may offer a potential low-cost solution, especially in LMICs where mobile phones are becoming more ubiquitous.Entities:
Keywords: Childhood; Immunization; Reminder-recall; SMS; Text messaging; mHealth
Mesh:
Year: 2016 PMID: 27026145 PMCID: PMC4859823 DOI: 10.1016/j.vaccine.2016.03.065
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Fig. 1CONSORT diagram.
Baseline demographic characteristics of entire study population and by study group.
| Characteristic | Study population | Intervention | Usual care | |
|---|---|---|---|---|
| Child's age | ||||
| Age (weeks) at visit 1 [mean (med)] | 9.5 (9.0) | 9.7 (9.1) | 9.4 (9.0) | 0.44 |
| Child's gender | ||||
| Male | 48.4 (155) | 52.5 (84) | 44.4 (71) | 0.15 |
| Female | 51.6 (165) | 47.5 (76) | 55.6 (89) | |
| Birth weight <6 pounds | ||||
| Yes | 16.2 (52) | 18.1 (29) | 14.3 (23) | 0.35 |
| No | 83.8 (269) | 81.9 (131) | 85.7 (138) | |
| Distance to clinic <16 km (10 miles) | ||||
| Yes | 98.8 (317) | 98.1 (157) | 99.4 (160) | 0.37 |
| No | 1.2 (4) | 1.9 (3) | 0.6 (1) | |
| Number of siblings | ||||
| 0 siblings | 53.8 (172) | 57.5 (92) | 50.0 (80) | 0.17 |
| 1–3 siblings | 44.1 (141) | 39.4 (63) | 48.8 (78) | |
| 4+ siblings | 2.2 (7) | 3.1 (5) | 1.3 (2) | |
| Monthly income | ||||
| <Q1001 | 18.3 (54) | 27.3 (42) | 8.5 (12) | <.0001 |
| Q1001–Q2000 | 35.6 (105) | 46.1 (71) | 24.1 (34) | |
| Q2001–Q3000 | 27.1 (80) | 17.5 (27) | 37.6 (53) | |
| >Q3000 | 19.0 (56) | 9.1 (14) | 29.8 (42) | |
| Mother's education | ||||
| Primary | 34.1 (109) | 36.9 (59) | 31.3 (50) | 0.35 |
| Secondary | 35.0 (112) | 31.3 (50) | 38.8 (62) | |
| College | 30.9 (99) | 31.9 (51) | 30.0 (48) | |
| Father's education | ||||
| Primary | 35.3 (113) | 36.9 (59) | 33.8 (54) | 0.06 |
| Secondary | 35.3 (113) | 29.4 (47) | 41.3 (66) | |
| College | 29.4 (94) | 33.8 (54) | 25.0 (40) | |
| Mother has cell phone | ||||
| Yes | 98.7 (301) | 98.7 (148) | 98.7 (153) | >0.99 |
| No | 1.3 (4) | 1.3 (2) | 1.3 (2) | |
| Father has cell phone | ||||
| Yes | 97.7 (85) | 100.0 (39) | 95.8 (46) | 0.50 |
| No | 2.3 (2) | 0.0 (0) | 4.2 (2) | |
| Mother works | ||||
| Yes | 24.1 (77) | 26.3 (42) | 21.9 (35) | 0.36 |
| No | 75.9 (243) | 73.8 (118) | 78.1 (125) | |
| Father works | ||||
| Yes | 98.3 (281) | 96.5 (136) | 100.0 (145) | 0.03 |
| No | 1.7 (5) | 3.5 (5) | 0.0 (0) | |
Wilcoxon Rank Sum test.
Q = Guatemalan Quetzal (Q1 = $0.13 USD).
Number (%) of intervention parents sent text messages (mobile carrier report).
| Number of text messages sent | Visit 2 | Visit 3 |
|---|---|---|
| 0 | 5 (3.1) | 6 (3.8) |
| 1 | 21 (13.1) | 20 (12.5) |
| 2 | 50 (31.3) | 40 (25.0) |
| 3 | 84 (52.5) | 75 (46.9) |
| 4 | – | 11 (6.9) |
| 5 | – | 8 (5.0) |
Study demographics and study outcomes by Intention to Treat (ITT) study groups.
| Measure | Intervention | Usual care | |
|---|---|---|---|
| Vaccinations | |||
| Completing Pentavalent (3 doses) [% ( | 84.4 (135) | 80.7 (130) | 0.69 |
| Completing Pneumococcal (2 doses) [% ( | 90.0 (144) | 83.2 (134) | 0.34 |
| Completing Poliomyelitis (3 doses) [% ( | 84.4 (135) | 80.7 (130) | 0.69 |
| Completing Rotavirus (2 doses) [% ( | 91.9 (147) | 88.8 (143) | 0.44 |
| Completing all vaccinations [% ( | 81.3 (130) | 75.8 (122) | 0.94 |
| Completing | 93.1 (149) | 88.8 (143) | 0.22 |
| Visits | |||
| Completing visit 2 [% ( | 95.0 (152) | 90.1 (145) | 0.12 |
| Completing visit 3 [% ( | 84.4 (135) | 80.7 (130) | 0.69 |
| Age (days) at visit 2 [mean (med)] | 134.9 (127.0) | 131.3 (126.0) | 0.52 |
| Age (days) at visit 3 [mean (med)] | 195.4 (188.0) | 193.9 (187.5) | 0.72 |
All p-values are adjusted for income.
Attitudes regarding the reminder intervention.
| Question | Intervention | Usual care | |
|---|---|---|---|
| Text message reminders would be helpful for remembering appointments | |||
| Strongly agree | 26.8 (30) | 2.9 (3) | <0.0001 |
| Agree | 71.4 (80) | 88.6 (93) | |
| Neutral | 1.8 (2) | 7.6 (8) | |
| Disagree | 0 | 1.0 (1) | |
| Interested in receiving text message reminders in the future | |||
| Strongly agree | 31.3 (35) | 2.9 (3) | <0.0001 |
| Agree | 67.9 (76) | 93.3 (98) | |
| Neutral | 0 | 1.9 (2) | |
| Disagree | 0.9 (1) | 1.9 (2) | |
| Would be willing to pay for text message reminders | |||
| Strongly agree | 9.8 (11) | 1.0 (1) | 0.01 |
| Agree | 57.7 (59) | 48.6 (51) | |
| Neutral | 29.5 (33) | 39.0 (41) | |
| Disagree | 8.0 (9) | 11.4 (12) | |
No respondents answered “Strongly Disagree” to any of the three questions; therefore, that response line has been removed from the table.
Fisher's Exact test.
Mantel–Haenszel Chi-square test.
Fig. 2Comparison* of those who agree vs. those who do not agree with the statement ‘Would be willing to pay for text message reminders’ by monthly income level.