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Table 3 Certainty assessment (Factors)

From: Factors associated with the workload of health professionals in hospital at home: a systematic review

Nº of studies

Study design

Risk of bias

Inconsistency

Indirectness

Imprecision

Other considerations

Effect

Certainty

Age: [38] Harrold, [39] Adams 2001, [35] Williams, [37] Stark

4

observational studies

seriousa

seriousb

not serious

seriousc

all plausible residual confounding would reduce the demonstrated effect

Most studies showed increased workload with patient´s age

Low

Gender: [38] Harrold, [39] Adams 2001

2

observational studies

not seriousa

not serious

not serious

seriousd

all plausible residual confounding would reduce the demonstrated effect

Higher workload in man

High

Functional status: [32] Bonifassi, [38] Harrold

2

observational studies

seriousa

not serious

Very seriouse,f

seriousa,c

all plausible residual confounding would reduce the demonstrated effect

dose response gradient

Increased workload in patients with poorer functional status

Low

Clinical diagnoses: [38] Harrold J, [28] Adams 2000, [29] Lee, [44] Trisolini, [35] Williams, [34] Cox,

6

observational studies

seriousa

not serious

seriousf

seriousa,c

all plausible residual confounding would reduce the demonstrated

effect

There is an association between workload and the number or type of clinical diagnoses of patients

Low

Visit type: [44] Trisolini, [30] Payne

2

observational studies

seriousa

Not serious

Seriousf

Seriousc

all plausible residual confounding would reduce the demonstrated

large effect

New admissions increased workload

Moderate

Rural environment: [39] Adams 2001

1

observational studies

not serious

not serious

not serious

not serious

strong association

all plausible residual confounding would reduce the demonstrated

effect

dose response gradient

Living in a rural locale increased workload comparison to living in an urban locale

High

  1. a Convience sample overall the studies
  2. b Different results on effect size, direction of association and significance
  3. c Precision of results not reported in most of the studies
  4. d The standard error of some of the studies is large
  5. e Very specific population. Generalization problems
  6. f Different ways of measuring outcome (workload) and factor