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Table 3 Indicator results by reinforced IDSR evaluation attribute, Madagascar, 2014–15

From: Evaluation of the reinforced integrated disease surveillance and response strategy using short message service data transmission in two southern regions of Madagascar, 2014–15

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
  1. amore than one answer possible
  2. bcomparison not possible as sent SMS not archived, consultation register or databases at district level not available
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