Background
Methods
Study design
Control and intervention graphs and questionnaire
Study sample
Analysis
Results
Response rate and study sample
Intervention group | Control group | |||
---|---|---|---|---|
Characteristic | Number (n = 176) | % | Number (n = 187) | % |
Sex (male) | 53 | 30.1% | 47 | 25.1% |
Age | 37 | 21.0% | 41 | 21.9% |
< 34 years | 109 | 61.9% | 106 | 56.7% |
35–54 years | 27 | 15.3% | 36 | 19.3% |
≥55 years | ||||
English as preferred language | 171 | 97.2% | 183 | 97.9% |
Education (university qualification) | 116 | 65.9% | 124 | 66.3% |
Work position* | ||||
Clinical | 61 | 34.7% | 76 | 40.6% |
Public health/policy | 36 | 20.5% | 35 | 18.7% |
Other | 72 | 40.9% | 70 | 37.4% |
Frequency of graph use | ||||
Often | 55 | 31.3% | 44 | 23.5% |
Occasionally or never | 118 | 67.0% | 141 | 75.4% |
Self-rated visual ability | ||||
Good | 122 | 69.3% | 110 | 58.8% |
Average or poor | 48 | 27.3% | 74 | 39.6% |
Comprehension of the unaltered (control) graphs
All respondents | Non university-qualified | University-qualified | ||||
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Comprehension rate | Intervention (No. of tasks) | Control (No. of tasks) | Intervention (No. of tasks) | Control (No. of tasks) | Intervention (No. of tasks) | Control (No. of tasks) |
Very low (0% to <20%) | 0 | 1 | 0 | 3 | 0 | 2 |
Low (20% to <40%) | 1 | 4 | 2 | 7 | 1 | 1 |
Moderate (40% to <60%) | 3 | 9 | 3 | 6 | 1 | 7 |
High (60% to <80%) | 7 | 8 | 13 | 10 | 6 | 11 |
Very high (above 80%) | 28 | 17 | 21 | 13 | 31 | 18 |
All respondents | Non university-qualified* | University-qualified* | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Interventions and interpretation tasks | Int. % (n= 176) | Con. % (n= 187) | Ratio | (95% CI) | Int. % (n= 56) | Con. % (n= 57) | Ratio | (95% CI) | Int. % (n= 116) | Con. % (n= 124) | Ratio | (95% CI) |
Interventions: 1. Simplified series labels; 2. Footnote explaining age standardisation (see Figure 1)
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Understand the meaning of a point reading of an incidence rate | 80.7 | 57.2 | 1.4 | (1.2–1.6) | 76.8 | 45.6 | 1.7 | (1.2–2.3) | 81.9 | 62.9 | 1.3 | (1.1–1.5) |
Understand the influence of age standardisation on comparisons between incidence rates | 58.0 | 36.9 | 1.6 | (1.3–2.0) | 42.9 | 22.8 | 1.9 | (1.1–3.3) | 65.5 | 44.4 | 1.5 | (1.2–1.9) |
Interventions: 1. Removed one category from a stacked layer graph; 2. Footnote explaining how to interpret the thickness of a layer (see Figure 2)
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For a single disorder, estimate the difference between incidence rates between two age points | 57.4 | 57.8 | 1.0 | (0.8–1.2) | 51.8 | 47.4 | 1.1 | (0.8–1.6) | 60.3 | 63.7 | 0.9 | (0.8–1.2) |
Compare an incidence rate reading for a disorder by sex across adjacent graphs | 85.2 | 88.2 | 1.0 | (0.9–1.1) | 83.9 | 82.5 | 1.0 | (0.9–1.2) | 87.1 | 90.3 | 1.0 | (0.9–1.1) |
Describe the trend by age along a layer in the graph | 69.9 | 84.0 | 0.8 | (0.7–0.9) | 58.9 | 80.7 | 0.7 | (0.6–0.9) | 75.0 | 86.3 | 0.9 | (0.8 – 1.0) |
Broad comparison of the total rate (sum of all layers) within an age range by sex across adjacent graphs | 89.2 | 85.6 | 1.0 | (1.0–1.1) | 89.3 | 87.7 | 1.0 | (0.9–1.2) | 90.5 | 83.9 | 1.1 | (1.0–1.2) |
Interventions: 1. Changed a divided bar graph to a side-by-side divided bar graph; 2. Footnote explaining acronyms used in the graph (see Figure 3)
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Compare the magnitude of YLL and YLD for a single disease category and sex | 65.9 | 74.9 | 0.9 | (0.8–1.0) | 69.6 | 71.9 | 1.0 | (0.8–1.2) | 64.7 | 77.4 | 0.8 | (0.7–1.0) |
Know that YLD represents disability burden and select the disease with the highest value for a single sex | 32.4 | 12.8 | 2.5 | (1.6–3.8) | 33.9 | 10.5 | 3.2 | (1.4–7.5) | 31.9 | 14.5 | 2.2 | (1.3–3.6) |
For a single disease, compare the magnitude of YLLs by sex | 85.8 | 88.8 | 1.0 | (0.9–1.1) | 83.9 | 89.5 | 0.9 | (0.8–1.1) | 87.9 | 88.7 | 1.0 | (0.9–1.1) |
Select the disease with the highest number of DALYs for a single sex | 83.0 | 67.9 | 1.2 | (1.1–1.4) | 80.4 | 61.4 | 1.3 | (1.0–1.7) | 85.3 | 71.8 | 1.2 | (1.0–1.4) |
Intervention: Removed one of three independent variables from the graph so that bars became undivided and there was no need for a legend (see Figure 4)
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Read the total rate of YLL for a single geographic category and sex | 93.8 | 80.2 | 1.2 | (1.1–1.3) | 89.3 | 71.9 | 1.2 | (1.0–1.5) | 96.6 | 83.9 | 1.2 | (1.1–1.3) |
Broad comparison of the magnitude of YLL rates between two geographic categories, regardless of sex | 94.9 | 90.4 | 1.1 | (1.0–1.1) | 94.6 | 84.2 | 1.1 | (1.0–1.3) | 95.7 | 94.4 | 1.0 | (1.0–1.1) |
Broad comparison of the magnitude of YLL rates between sexes, regardless of geographic category | 92.6 | 92.5 | 1.0 | (0.9–1.1) | 89.3 | 84.2 | 1.1 | (0.9–1.2) | 94.8 | 96.0 | 1.0 | (1.0–1.1) |
Intervention: Changed a population pyramid to a line graph (see Figure 5)
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Broad comparison by sex of the overall population count across a range of age groups, for one geographic area | 90.3 | 78.1 | 1.2 | (1.1–1.3) | 85.7 | 77.2 | 1.1 | (0.9–1.3) | 93.1 | 78.2 | 1.2 | (1.1–1.3) |
Broad comparison by geographic region across adjacent graphs of the total population size, regardless of age or sex | 78.4 | 41.2 | 1.9 | (1.6–2.3) | 73.2 | 29.8 | 2.5 | (1.6–3.8) | 81.9 | 46.8 | 1.8 | (1.4–2.2) |
Broad comparison of the population size of younger and older segments of the population regardless of region | 89.2 | 85.6 | 1.0 | (1.0–1.1) | 83.9 | 80.7 | 1.0 | (0.9–1.2) | 92.2 | 87.9 | 1.1 | (1.0–1.1) |
Interventions: 1. Changed a dot graph with confidence intervals ('hi-lo-close') graph to a bar graph; 2. Footnote providing a simple practical description of confidence intervals (see Figure 6)
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Interpret the statistical significance of the difference between two countries of birth in the proportion of premature births | 54.5 | 31.6 | 1.7 | (1.4–2.2) | 39.3 | 15.8 | 2.5 | (1.3–4.9) | 62.9 | 40.3 | 1.6 | (1.2–2.0) |
Compare the relative magnitude of the proportion of premature births between two countries of birth represented by adjacent graph bars | 91.5 | 84.5 | 1.1 | (1.0–1.2) | 92.9 | 71.9 | 1.3 | (1.1–1.5) | 91.4 | 90.3 | 1.0 | (0.9–1.1) |
Compare the relative magnitude of the proportion of premature births between two countries of birth represented by more distant graph bars | 79.5 | 50.3 | 1.6 | (1.4–1.9) | 80.4 | 35.1 | 2.3 | (1.6–3.3) | 80.2 | 58.1 | 1.4 | (1.2–1.7) |
Interventions: 1. Changed the title to a plain question that reflected the intepretation of the graph; 2. Changed some numeric y axis labels to descriptive explanations relating to the title; 3: Removed the footnote that had become redundant (see Figure 7)
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Broad judgement of whether Aboriginal people had a higher risk of death than Australians overall | 82.4 | 58.8 | 1.4 | (1.2–1.6) | 69.6 | 38.6 | 1.8 | (1.3–2.6) | 90.5 | 69.4 | 1.3 | (1.2–1.5) |
For one age group and sex, read the point estimate of the rate ratio | 83.0 | 55.6 | 1.5 | (1.3–1.7) | 69.6 | 36.8 | 1.9 | (1.3–2.8) | 91.4 | 65.3 | 1.4 | (1.2–1.6) |
Understand the meaning of a death rate ratio for one age group and sex | 84.7 | 59.9 | 1.4 | (1.2–1.6) | 71.4 | 42.1 | 1.7 | (1.2–2.4) | 92.2 | 69.4 | 1.3 | (1.2–1.5) |
Intervention: Reversed the scale of the vertical axis to represent increasing risk in the upward direction (see Figure 8)
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Judge the relative magnitude of risk between the sexes in a single year | 79.5 | 48.7 | 1.6 | (1.4–1.9) | 66.1 | 31.6 | 2.1 | (1.4–3.2) | 87.1 | 58.1 | 1.5 | (1.3–1.8) |
For one sex, judge the direction of the trend over time | 60.2 | 20.9 | 2.9 | (2.1–9.9) | 62.5 | 19.3 | 3.2 | (1.8–5.7) | 58.6 | 21.8 | 2.7 | (1.9–3.9) |
Read the point estimate of risk for a single sex in a single year | 90.9 | 85.6 | 1.1 | (1.0–1.1) | 78.6 | 77.2 | 1.0 | (1.0–1.4) | 97.4 | 91.1 | 1.1 | (0.9–1.1) |
Interventions: 1. Made the y axis ranges on two adjacent graphs match; 2. Slight simplification to the graph title (see Figure 9)
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Broad judgment by virus across adjacent graphs of the relative difference in prevalence between the two subgroups | 90.9 | 45.5 | 2.0 | (1.7–2.4) | 89.3 | 35.1 | 2.5 | (1.8–3.7) | 93.1 | 51.6 | 1.8 | (1.5–2.2) |
Broad judgement of which subgroup had a lower prevalence of HCV infection | 80.7 | 75.9 | 1.1 | (1.0–1.2) | 78.6 | 66.7 | 1.2 | (1.0–1.5) | 81.9 | 79.8 | 1.0 | (0.9–1.2) |
Broad comparison by virus across the two graphs of the prevalence of infection in a single year, regardless of subgroup | 92.0 | 63.6 | 1.5 | (1.3–1.6) | 87.5 | 47.4 | 1.9 | (1.4–2.5) | 94.8 | 73.4 | 1.3 | (1.2–1.5) |
Point reading of prevalence of HCV infection for a single year and subgroup | 71.0 | 73.3 | 1.0 | (0.9–1.1) | 64.3 | 63.2 | 1.0 | (0.8–1.3) | 74.1 | 78.2 | 1.0 | (0.8–1.1) |
Intervention: Changed the graph type from a vertical bar graph to a line graph (see Figure 10)
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Point reading of the proportion of deaths caused by a disease in a single year | 83.0 | 82.9 | 1.0 | (0.9–1.1) | 78.6 | 73.7 | 1.1 | (0.9–1.3) | 86.2 | 88.7 | 1.0 | (0.9–1.1) |
Judge which disease had the lowest proportion of deaths in a single year | 96.6 | 94.1 | 1.0 | (1.0–1.1) | 96.4 | 87.7 | 1.1 | (1.0–1.2) | 97.4 | 97.6 | 1.0 | (1.0–1.0) |
Judge which disease had the most increasing trend in the proportion of deaths over the period shown | 83.5 | 76.5 | 1.1 | (1.0–1.2) | 75.0 | 56.1 | 1.3 | (1.0–1.8) | 89.7 | 85.5 | 1.1 | (1.0–1.2) |
Intervention: Changed a dot graph to a bar graph (see Figure 11)
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Judge which sex had the greater proportion for a single injury category | 93.8 | 89.3 | 1.1 | (1.0–1.1) | 92.9 | 78.9 | 1.2 | (1.0–1.4) | 94.8 | 95.2 | 1.0 | (0.9–1.1) |
Judge which injury category had the greatest proportion of hospital separations within a single sex | 96.0 | 94.1 | 1.0 | (1.0–1.1) | 94.6 | 89.5 | 1.1 | (1.0–1.2) | 97.4 | 97.6 | 1.0 | (1.0–1.0) |
Intervention: Changed the graph type from a pie chart to a horizontal bar graph (see Figure 12)
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Identify the category accounting for the largest proportion of cancers in a single sex | 97.7 | 96.8 | 1.0 | (1.0–1.1) | 96.4 | 93.0 | 1.0 | (1.0–1.1) | 99.1 | 100.0 | 1.0 | (1.0–1.0) |
Identify the larger of two categories for a single sex | 96.6 | 95.2 | 1.0 | (1.0–1.1) | 94.6 | 93.0 | 1.0 | (1.0–1.1) | 98.3 | 97.6 | 1.0 | (1.0–1.1) |
Comparison by sex across adjacent graphs of the contribution of one cancer to all cancers in each sex | 95.5 | 63.6 | 1.5 | (1.3–1.7) | 92.9 | 80.7 | 1.2 | (1.0–1.3) | 97.4 | 56.5 | 1.7 | (1.5–2.0) |
Identify the cancer accounting for the smallest proportion of all cancers in a single sex | 96.6 | 90.9 | 1.1 | (1.0–1.1) | 94.6 | 91.2 | 1.0 | (0.9–1.2) | 98.3 | 91.9 | 1.1 | (1.0–1.1) |
Point reading of the proportion of all cancers contributed by a single cancer for a single sex | 92.0 | 25.7 | 3.6 | (2.8–4.6) | 91.1 | 40.4 | 2.3 | (1.6–3.1) | 93.1 | 19.4 | 4.8 | (3.4–6.9) |
Effect of interventions
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Changing a pie chart to a bar graph and point reading the magnitude of a single category (prevalence ratio 3.6; 95% CI 2.8–4.6) (Figure 12). This changed the comprehension rate from low to very high.
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Changing the y axis of a graph so that the upward direction represented an increase rather than a decrease in the plotted quantity when judging the direction of a trend (2.9; 95% CI 2.1–9.9) (Figure 8). This changed the comprehension rate from low to high.
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Including a footnote to explain an acronym and perform a task that requires knowledge of the meaning of the acronym (2.5, 95% CI 1.6–3.8) (Figure 3). This changed the comprehension rate from very low to low.
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Making the y axis range of two adjacent graphs match and comparing the size of a difference between the two series shown on each graph (2.0; 95% CI 1.7–2.4) (Figure 9). This changed the comprehension rate from moderate to very high.