Table 3.
EMA Completion Rates
Study | Percentage of Sample Meeting >33% Cutoff | Percentage of EMA Surveys Completed | Other Measure of Completion | Other Completion Outcome | Predictors of EMA Completion | |
---|---|---|---|---|---|---|
1 | Ainsworth, Palmier-Claus35 | 88% (smartphone) 71% (SMS) |
69% (smartphone) 56% (SMS) |
— | — | EMA completion significantly higher with the smartphone app compared to the SMS procedure. Completion rate lower in week 2 compared to week 1. |
2 | Bartolomeo, Raugh36 | — | 66% (of completers) | % sample ≥ 20% cutoff | 94% | SZ sample had lower completion rates than controls. SZ sample had lower personal education compared to controls, no other differences on demographics. |
3 | Bell, Rossell11 | 100% | 72% | — | — | No relationship between completion rates and confidence in using smartphone apps, demographic, or clinical variables. |
4 | Bell, Velthorst37 | 87.8% | 68% (of completers) | — | — | No differences in completion rates between patients vs. controls or patients vs. relatives. However, differences in demographics (sex, education, living status, and ethnicity). No differences in age across samples. |
5 | Ben-Zeev, Ellington38 | — | — | % completing ≥2 full days of monitoring | 87% | — |
6 | Ben-Zeev, Frounfelker39 | — | 88% | — | — | — |
7 | Ben-Zeev, McHugo40 | — | 98% | — | — | — |
8 | Ben-Zeev, Morris41 | — | — | % completing ≥2 full days of monitoring | 87% | — |
9 | Berry, Emsley42 | — | 67% | — | — | No relationship between completion rate and age, clinical status, gender, own or loaned smartphone, employment status, or education. |
10 | Brand, Bendall43 | 83% | 71% | — | — | Completion rate lower in week 4 compared to week 1. |
11 | Buck, Munson44 | — | — | — | — | — |
12 | Cristóbal‐Narváez, Sheinbaum45 | — | — | — | — | — |
13 | Daemen, van Amelsvoort46 | 100% | 63% | — | — | No differences in completion rates between patients vs controls or patients vs relatives. Differences between groups on age, gender, education, and marital status. |
14 | Daemen, van Amelsvoort47 | — | — | — | — | No differences in completion rates between patients vs controls or patients vs relatives. Patients had higher levels of child abuse. |
15 | Dokuz, Kani48 | 88% | 71% (of completers) | — | — | No relationships between ESM data and demographics, or duration of illness, or time without treatment. |
16 | Dupuy, Abdallah49 | — | 95% | — | — | — |
17 | Fett, Hanssen50 | 86% | 77% | — | — | — |
18 | Fielding-Smith, Greenwood51 | 89% | 60% (of completers) |
— | — | — |
19 | Gaudiano, Ellenberg52 | — | 45% | % completing ≥10 EMA survey | 62% | Male gender and cannabis (but not alcohol or other drug) use is associated with lower completion rate. No relationship between completion rate and age, educational attainment, non-Latino White vs. minority ethnicity/race); positive, negative, and affective symptom severity, or cognitive functioning. Completion rate lower in week 4 compared to week 1. |
20 | Geraets, Snippe53 | — | 64% | — | — | — |
21 | Gohari, Moore54 | — | 75% | — | — | — |
22 | Granholm, Loh55 | — | 69% (of completers) |
% completing >4 EMA surveys | 87% | Poorer cognitive impairment in those who did not meet completion criteria. No relationship between completion rate and age, gender, positive, negative or total symptoms severity, or number of days in the study. |
23 | Hanssen, Balvert56 | — | 59% | % completing >30% EMA surveys | 89% | No significant differences were found for completion between the feedback and no-feedback group. |
24 | Hartley, Haddock57 | 75% | 59% (of completers) |
% who “completed” the EMA phase | 84% | No difference in education, employment status or gender, age, positive, negative or general symptoms, severity of delusions, or hallucinations between those that did and did not meet completion criteria. |
25 | Hartley, Haddock58 | 75% | 59% (of completers) |
% who “completed” the EMA phase | 84% | No difference in education, employment status or gender, age, positive, negative or general symptoms, severity of delusions or hallucinations between those that did and did not meet completion criteria. |
26 | Harvey, Miller59 | — | 80% | — | — | SZ and BD differed in demographics and PANSS symptoms. |
27 | Jongeneel, Aalbers9 | — | 72% (of completers) |
— | — | — |
28 | Kammerer, Mehl60 | — | 72% | — | — | — |
29 | Kimhy, Lister61 | — | 75% | — | — | |
30 | Kimhy, Vakhrusheva62 | — | 81% (of completers) |
— | — | — |
31 | Kimhy, Wall63 | — | 89% (of completers) |
— | — | — |
32 | Kimhy, Delespaul64 | 91% | 81% (of completers) |
— | — | — |
33 | Klippel65 | 86% | — | — | — | — |
34 | Ludwig, Mehl66 | — | 72% | — | — | — |
35 | Lüdtke, Kriston67 | — | — | — | — | — |
36 | Lüdtke, Moritz68 | — | 82% (of completers) | — | — | — |
37 | Miller, Harvey69 | — | 80% | — | — | — |
38 | Moitra, Park70 | — | 39% | — | — | |
39 | Monsonet, Rockwood71 | — | — | — | — | Compliance rates did not differ between smartphone or PDA. |
40 | Morgan, Strassnig72 | — | 73% | — | — | SZ had differences with BD on education, age, and mother’s education. |
41 | Mulligan, Haddock73 | 100% | 77% | — | — | — |
42 | Nittel, Lincoln74 | 87% | — | — | — | No difference in completion rates between recruitment methods (outpatients vs recruited via leaflet). |
43 | Orth, Hur75 | — | 67% (of completers) | % sample ≥ 25% cutoff | 86% | Compliance rates did not differ on individual levels of paranoia. |
44 | Palmier-Claus, Ainsworth18 | 82% | 72% (of completers) |
— | — | More severe positive symptoms, but not negative symptoms, depression or age, predicted decreased likelihood of meeting 33% completion criterion. No relationship between these variables and completion rate. |
45 | Parrish, Chalker76 | — | 81% (of completers) |
— | — | Completion not related to age, years of education, gender, symptom severity, cognition, or diagnosis; weak negative correlation with mania. |
46 | Parrish, Chalker77 | — | 80% | — | — | — |
47 | Perez, Tercero78 | — | 75% | — | — | No differences between SZ and BD. |
48 | Pieters, Deenik79 | — | 64% | — | — | |
49 | Pos, Meijer80 | — | — | — | — | — |
50 | Radley, Barlow81 | 97% | 69% (of completers) | — | — | Time of day did not predict missing data. Participants missed more surveys towards the end of the study. |
51 | Raugh, James20 | — | 54% | % sample ≥ 20% cutoff | — | — |
52 | Raugh, Strauss82 | — | 62% | % sample ≥ 20% cutoff | 92% | SZ sample had lower completion rates than controls. |
53 | Reininghaus, Kempton83 | 86% | 60% (of completers) |
— | — | — |
54 | Reininghaus, Gayer-Anderson84 | — | — | — | — | — |
55 | Reininghaus, Oorschot85 | 86% | 60% (of completers) |
— | — | — |
56 | Sa, Wearden86 | — | 67% (of completers) |
% completing ≥20 beeps | 100% | — |
57 | Schick, Van Winkel87 | 100% | 68% | — | — | — |
58 | Smelror, Bless88 | — | 74% (of completers) |
— | — | — |
59 | So, Chung89 | — | 67% | % completing >30% EMA surveys | 77% | There was no significant difference in age, gender, years of education, number of psychiatric admissions, or any of the clinical and self-report measure for those that did and did not meet completion criteria. |
60 | So, Chau90 | — | 85% (of completers) |
% completing >30% EMA surveys | 58% | No difference in clinical severity measures for those that did and did not meet completion criteria. |
61 | So, Peters91 | — | 71% (of completers) |
% completing >30% EMA surveys | 62% | No relationship between completion rate and number of days in study. |
62 | So, Peters92 | — | 71% (of completers) |
% completing >30% EMA surveys | 62% | — |
63 | Steenkamp, Parrish93 | — | — | — | — | — |
64 | Strauss, Esfahlani94 | — | 90% (of completers) |
% completing >25% EMA surveys | 93% | — |
65 | Swendsen, Ben-Zeev95 | — | 72% (of completers) |
— | — | No relationship between completion rate and number of days in study. |
66 | Vilardaga, Hayes96 | — | 55% (of completers) |
— | — | — |
67 | Westermann, Grezellschak97 | — | 78% | — | — | No relationship between completion rate and number of days in study. |
68 | Wright, Palmer-Cooper98 | 76% | 42.2% | — | — | Compliance was related to working and lower levels of self-reflectiveness. No relationships with demographics or clinical variables. |
Note: BD, Bipolar Disorder; EMA, ecological momentary assessment; SMS, short messaging service; SZ, Schizophrenia.