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Among the selected articles several different outcome measurements were used to study the effect of drinking water. Information about GI was collected via health-care systems, from proxy data or directly from studied cohorts. By proxy data we here refer to indicators which are likely to correlate with GI incidence in the community. Several of the included studies used internet search volumes or drug sales data. In the cohort studies GI was measured as self-reported symptoms. Different definitions of gastrointestinal disease were used in different studies and this may affect comparability between studies. For self-reported GI there is a higher degree of recall bias if longer recall periods are used. Some symptoms, such as nausea, can also be subjective and difficult to measure. Among the included papers we identified two commonly used case definitions: acute gastrointestinal illness (AGI) and highly credible gastrointestinal illness (HCGI) (Table 2). The different methodologies and types of data are summarized in Table 3.

Table 2

Case definitions of self-reported GI in different studies

IllnessDefinitionReferences
AGI Vomiting and/or diarrhoea with at least three loose stools during a 24-h time-period Nygård et al. (2007), Febriani et al. (2010), Borchardt et al. (2012)  
HCGI Any of the following conditions: (1) vomiting, (2) watery diarrhoea, (3) soft diarrhoea and abdominal cramps, (4) nausea and abdominal cramps Payment et al. (1991, 1997), Colford et al. (2002, 2005, 2009), Frost et al. (2009)  
IllnessDefinitionReferences
AGI Vomiting and/or diarrhoea with at least three loose stools during a 24-h time-period Nygård et al. (2007), Febriani et al. (2010), Borchardt et al. (2012)  
HCGI Any of the following conditions: (1) vomiting, (2) watery diarrhoea, (3) soft diarrhoea and abdominal cramps, (4) nausea and abdominal cramps Payment et al. (1991, 1997), Colford et al. (2002, 2005, 2009), Frost et al. (2009)  
Table 3

Overview of methodologies and data sources for investigating relationship between drinking water and sporadic GI

MethodologyDefinitionData sourcesAdvantagesLimitations
Ecological study Observational study of the correlation between risk factors and health outcomes based on populations defined geographically and/or temporally Pharmacies Available in most countries Low correlation with sporadic GI 
   International codes allow the use of data for specific drugs and facilitate comparisons between countries No information about water consumption or confounders 
    Affected by opening hours and holidays 
  Telephone triage Lots of data (high statistical power) Only available in some countries 
   High correlation with endemic GI  
   Description of symptoms Reporting bias 
   Seasonal and geographical variation  
  Health care Available in most countries High under-reporting 
   Diagnosed cases Mostly severe cases of GI 
    Large study population required 
Case-control study Observational study in which two existing groups differing in outcome are identified and compared based on their association with hypothesized risk factors Health care Diagnosed cases High under-reporting 
   Allows identification of risk factors Mostly severe cases of GI 
    Selection bias 
    Prone to recall bias 
Cross-sectional study Observational study that analyses data collected from a population, or a representative subset, at a specific point in time Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Only point estimate 
  Interviews  Recruitment bias 
    Low response rate 
    Self-reporting may be subjective 
Cohort study Observational study that analyses data collected from a population, or a representative subset, over a period of time Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Expensive 
   Collection of data over time Labour intensive 
  Interviews  Recruitment bias 
  Health diaries  Low response rate 
  Patient registers  Self-reporting may be subjective 
Household intervention An experimental study measuring changes in risk following a risk reducing measure in a population Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Expensive 
  Interviews Collection of data over time Labour intensive 
  Health diaries Direct measurement of risk reduction due to intervention Excludes non-home owners 
    Different risk factors cannot be elucidated with point of use intervention 
MethodologyDefinitionData sourcesAdvantagesLimitations
Ecological study Observational study of the correlation between risk factors and health outcomes based on populations defined geographically and/or temporally Pharmacies Available in most countries Low correlation with sporadic GI 
   International codes allow the use of data for specific drugs and facilitate comparisons between countries No information about water consumption or confounders 
    Affected by opening hours and holidays 
  Telephone triage Lots of data (high statistical power) Only available in some countries 
   High correlation with endemic GI  
   Description of symptoms Reporting bias 
   Seasonal and geographical variation  
  Health care Available in most countries High under-reporting 
   Diagnosed cases Mostly severe cases of GI 
    Large study population required 
Case-control study Observational study in which two existing groups differing in outcome are identified and compared based on their association with hypothesized risk factors Health care Diagnosed cases High under-reporting 
   Allows identification of risk factors Mostly severe cases of GI 
    Selection bias 
    Prone to recall bias 
Cross-sectional study Observational study that analyses data collected from a population, or a representative subset, at a specific point in time Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Only point estimate 
  Interviews  Recruitment bias 
    Low response rate 
    Self-reporting may be subjective 
Cohort study Observational study that analyses data collected from a population, or a representative subset, over a period of time Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Expensive 
   Collection of data over time Labour intensive 
  Interviews  Recruitment bias 
  Health diaries  Low response rate 
  Patient registers  Self-reporting may be subjective 
Household intervention An experimental study measuring changes in risk following a risk reducing measure in a population Questionnaires Possibility to collect detailed data on symptoms, water consumption and confounders Expensive 
  Interviews Collection of data over time Labour intensive 
  Health diaries Direct measurement of risk reduction due to intervention Excludes non-home owners 
    Different risk factors cannot be elucidated with point of use intervention 

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