1. Recruitment procedure & follow-up (in cohort studies):
For cohort studies
HINT: We are looking for selection bias: – Was the cohort representative of a defined population? # – Was everybody included who should have been included? # –If response on day care center level is slightly <50% but does not indicate selection bias, it will be listed as a demerit in extraction table. Preliminary ruling: –If the cohort recruitment is based on a convenient/self-reported sampling OR if response is <10% or if response was not reported/calculable, the study will be excluded from analysis.
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low |
Cohort recruitment was acceptable.#
Baseline response on both educator and day care center level is acceptable (50% or more) OR is <50% and >30%, but substantial differential selection could be excluded (e. g. by a non-responder analysis).
Loss to follow-up is below 20% in total and not different between the two groups (up to 10% difference).*
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| high |
Cohort recruitment was not acceptable.#
Response not reported/ not calculable.
Total loss to follow-up is larger than acceptable (20% or more)* OR drop out differs between the groups by more than 10%* OR the reasons for drop out considerably differ between exposed and non-exposed groups.*
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For case-control studies
HINT: We are looking for selection bias: – Were the cases and control subjects representative of the same defined population (“study base”; geographically and/or temporally)? # – Was there an established reliable system for selecting all the cases? # – The same exclusion criteria are used for both cases and controls. # – Comparison is made between participants and non-participants to establish their similarities or differences. # – If response on day care center level is slightly <50% but does not indicate selection bias, it will be listed as a demerit in extraction table. Preliminary ruling: – If the recruitment is based on a convenient/self-reported sampling OR if response is <10% or if response was not reported/calculable, the study will be excluded from analysis.
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low |
Case selection and recruitment was acceptable.#
Control subjects’ selection and recruitment was acceptable.#
Non-response was less than 50% for cases and/or control subjects OR it was >50% and <70%, but substantial differential selection of cases and control subjects could be excluded (e.g. by a non-responder analysis)*
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| high |
Case selection and recruitment was not acceptable.#
Control subjects’ selection and recruitment was not acceptable.#
Non-response was >70% for cases or control subjects OR it was >50% and<70%, but substantial differential selection of cases and control subjects could not be excluded.*
Response not reported/ not calculable
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For cross-sectional studies
HINT: We are looking for selection bias: – Was the study population representative of a defined population? # – Was everybody included who should have been included? # – If response on day care center level is slightly <50% but does not indicate selection bias, it will be listed as a demerit in extraction table. Preliminary ruling: – If the recruitment is based on a convenient/ self-reported sampling OR if response is <10% or if response was not reported/calculable, the study will be excluded from analysis.
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low |
Recruitment of the study population was acceptable.#
Non-response was less than 50% OR it was >50% and <70%, but substantial differential selection of the study population could be excluded (e.g. by a non-responder analysis).*
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|
| high |
Recruitment of the study population was not acceptable.#
Non-response was >70% OR it was >50% and <70%, but substantial differential selection of the study population could not be excluded.*
Response not reported/ not calculable.
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| 2. Exposure definition and ‧measurement |
low |
Exposure definition included at least basic job characteristics (e.g., job tasks, length of employment).
Exposure was accurately measured to minimize bias.
Adequate comparison group of non-exposed workers (e.g. office workers) included.
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| high |
Exposure does not cover basic job characteristics.
Exposure was not accurately measured.#
Different methods were used to measure exposure in different groups/cases and control subjects (in case-control studies).
No adequate comparison group of non-exposed workers included (only for outcome 1b)
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| unclear |
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| 3.1a Outcome “infection rate”. Source and validation |
low |
Outcome was accurately/ objectively measured to minimize bias (positive serology, medical diagnosis).#
Measurement methods were similar in the different groups.#
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| high |
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| unclear |
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| 3.1b Outcome “risk of infection”. Source and validation |
low |
Outcome was accurately/ objectively measured to minimize bias (e.g. positive serology, medical diagnosis).#
Measurement methods were similar in the different groups.#
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| high |
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| unclear |
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3.2 Outcome “Immunization coverage of the nursery-school teachers”. Source and validation Only applicable to vaccine-preventable diseases.
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low |
Outcome was accurately/ objectively measured to minimize bias (e.g. checked by certificates of vaccination, use of validated instruments).#
Measurement methods were similar in the different groups.#
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| high |
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| unclear |
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| 3.3 Outcome “Immunity status of the nursery-school teachers”. Source and validation |
low |
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| high |
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| unclear |
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4. Confounding and effect modification HINT: If the immunity status of the children in care is not being considered, it will be listed as a demerit in extraction table.
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low |
If risk estimators were calculated, major confounding factors (at least age, sex, SES and for vaccine-preventable diseases, immunization status of child care workers) & effect modifiers were considered.
If only prevalence or incidence was assessed, at least sex, age and immunization coverage (at least mean values for the study population) are described.
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| high |
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| unclear |
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5. Analysis method: methods to reduce research specific bias HINT: If the prevalence of serology is very high, we will not accept Prevalence Odds Ratios as adequate.
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low |
Authors used adequate statistical models to reduce bias (e.g., standardization, matching, adjustment in multivariate model, stratification, propensity scoring). For prevalences, matching/stratification may not be required as long as a good description of the age structure and immunization status of the population is given.
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| high |
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| unclear |
□ |
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| 6. Chronology |
low |
Incident diseases were included.#
Temporal relation may be established (exposure precedes the outcome).#
Negative serology known at baseline (career entry, baseline of study) AND was accurately/ objectively measured.
For outcomes 2 and 3, cross-sectional studies are appropriate.
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| high |
Prevalent diseases were included OR prevalent diseases of baseline were not excluded (in cohort studies).#
Temporal relation cannot be established.
Serology is unknown at baseline.
Cross-sectional studies without basic information about temporal course (not applicable to outcomes 2 or 3)
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| unclear |
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| 7. Funding |
low |
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| high |
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| unclear |
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| 8. Conflict of interest |
low |
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| high |
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| unclear |
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