Indicators per attribute | Denominator | Number | Proportion (%) |
---|---|---|---|
Simplicity | |||
TOR presence | 80 | 15 | 19 |
TOR knowledge, description of surveillance activities (Number of correct answers/ 5 questions) | |||
5/5 | 29 | 36 | |
4/5 | 26 | 33 | |
3/5 | 12 | 15 | |
2/5 | 10 | 13 | |
1/5 | 3 | 4 | |
Knowledge of selected case definitions | |||
Malaria | 66 | 83 | |
Diarrhoea | 62 | 78 | |
ARI | 37 | 46 | |
Measles | 14 | 18 | |
DLS | 13 | 16 | |
Case definitions guidelines presence | 51 | 64 | |
Data collection mode | |||
Weekly | 60 | 75 | |
End of each day | 16 | 20 | |
Other | 4 | 5 | |
Tools routinely used for data compilationa | |||
Data form | 39 | 35 | |
SMS register notebook | 13 | 12 | |
Dashboard | 12 | 11 | |
Other | 48 | 43 | |
Time for data compilation (minutes), median (range) | 42 | 30 | (5–180) |
Time for SMS writing (minutes), median (range) | 5 | (1–20) | |
Data quality | |||
Missing data | 80 | ||
Number of last 10 SMS with ≥1 missing observation | |||
Frequent diseases | |||
> 4 | 5 | 6 | |
1–3 | 10 | 12 | |
0 | 38 | 47 | |
No responseb | 27 | 34 | |
Rare diseases | |||
10 | 12 | 15 | |
0 | 68 | 85 | |
Erroneous data | |||
Number of 10 last SMS with ≥1 erroneous observations | 42 | ||
0 | 2 | 5 | |
3–5 | 8 | 19 | |
6–8 | 16 | 38 | |
9–10 | 18 | 43 | |
Number of erroneous observations, median (range) | 12 | (0–51) | |
Number of supervisions in 2014, median (range) | 80 | 2 | (0–26) |
Completeness & timeliness | |||
Completeness of HS routine data transfer over last 4 weeks (SMS number) | 80 (320) | 58 (232) | 73 |
Reasons for non-completeness | |||
Monthly DHO meeting | 4 | 17 | |
Training | 4 | 17 | |
Illness | 3 | 13 | |
Lost telephone or SIM card | 3 | 13 | |
Telephone network problem | 2 | 9 | |
No telephone credit | 2 | 9 | |
No telephone network | 2 | 9 | |
End of the year workload too high | 2 | 9 | |
Newly recruited health agent | 1 | 4 | |
Timeliness of routine SMS over 4 last weeks | |||
4/4 | 34 | 44 | |
3/4 | 11 | 14 | |
2/4 | 11 | 14 | |
1/4 | 6 | 8 | |
0/4 | 15 | 19 | |
Reasons for non-timeliness over last 4 weeks | |||
Workload too high | 9 | 24 | |
Telephone network problem | 6 | 16 | |
Training | 4 | 11 | |
Illness | 4 | 11 | |
No telephone credit | 4 | 10 | |
Family problem, leave, or rest after on-call duty | 3 | 8 | |
No telephone network | 2 | 5 | |
No/ lost telephone | 2 | 5 | |
Battery charging problem | 2 | 5 | |
Monthly DHO meeting | 1 | 3 | |
Newly recruited health agent | 1 | 3 | |
Number of HS that notified alerts (79 alerts in total) over last 4 weeks | 80 | 38 | 48 |
Type of notified alerts | 53 | ||
Increase malaria cases | 17 | 32 | |
AFP | 8 | 15 | |
Dog bite | 8 | 15 | |
Measles suspicion | 8 | 15 | |
Maternal death | 3 | 6 | |
Chikungunya | 2 | 4 | |
Diarrhoea | 2 | 4 | |
Other | 5 | 9 | |
Timeliness of alert notification (4 last alerts) | 38 | ||
4/4 | 4 | 10 | |
3/4 | 2 | 5 | |
2/4 | 4 | 10 | |
1/4 | 23 | 61 | |
0/4 | 5 | 13 | |
Technological evaluation | |||
Geographical mobile phone network coverage and coverage at/around HS (Fig. 2) | 80 | ||
Sources of mobile phone used for data transfer | |||
WHO | 50 | 63 | |
Non-WHO | 27 | 34 | |
Does not know | 2 | 3 | |
No mobile phone | 1 | 1 | |
Mobile phone changes/ replacements since job start | |||
Not since arrival | 49 | 61 | |
Once | 25 | 31 | |
Twice | 3 | 4 | |
Three times | 2 | 3 | |
Does not use WHO provided mobile phone | 1 | 1 | |
Mobile phone handling capacity by HS agents | 40 | ||
Easily | 31 | 74 | |
Not checked | 1 | 2 | |
Some difficulties | 6 | 14 | |
Very difficult | 4 | 10 | |
Problems encountered (≥1 possible) | 81 | ||
No electricity/ lack of charging possibilities | 34 | 42 | |
No/ broken mobile phone charger | 6 | 7 | |
Phone battery faulty | 11 | 14 | |
Other | 30 | 37 | |
Energy sources* | 98 | ||
Solar energy | 43 | 49 | |
Electricity grid | 25 | 29 | |
Generator | 17 | 20 | |
Car battery | 2 | 2 | |
Last mobile phone charging problem (in months) | 80 | ||
< 1 | 30 | 38 | |
1–3 | 1 | 1 | |
3–6 | 3 | 4 | |
> 6 | 29 | 36 | |
No problem | 17 | 21 |