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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 30, No 6, November/December 2019

AFRICA

343

for three different walking speeds: slow (illustrated by the turtle),

normal (illustrated by a human) and fast (illustrated by a rabbit).

If unable to do the task (e.g. walk fast), they were instructed to

put a cross on the watch screen. A fourth and last item requires

the patient to estimate his/her usual pace: very slow (illustrated

by a snail), slow (illustrated by a turtle), normal (illustrated by

a human) or fast (illustrated by a rabbit). Illustrations of the

WELSH tool are presented in Fig. 1.

Patients were provided a blue or black pen and reading glasses

if needed, and received oral explanation of the protocol and on

how to fill in the WELSH questionnaire in their native language

or dialect. Patients were asked to self-complete each of the three

watch dials and define whether they felt they walked at their

usual pace. The two series of drawings (first three items about

maximal duration at different paces and fourth item on usual

pace) were printed on each side of the same sheet and were

thereby submitted in a random order.

Once self-completed, the technician, nurse or physician checked

the questionnaire and completed any incomplete questionnaires.

For the WELSH tool, an error was defined as a missing answer,

multiple answers to the same item or a reported increase in the

duration of a task that was more difficult than the task of lower

intensity (e.g. reported higher ability to walk fast than to walk

at a normal speed). Errors were discussed with the patient and

corrections or additions were made and written in red.

We empirically defined a method for scoring of the

questionnaire that could easily be memorised and done by

mental calculation and would result in a maximal score of 100.

The number of points attributed to the possible durations ranged

from zero points if the task was impossible, to eight points for

51 to 60 minutes. The number of points increased by one point

for each interval of five minutes up to 20 minutes, and for each

interval of 10 minutes from 20 minutes to one hour. Estimated

usual walking speeds were attributed coefficients ranging from

one for ‘much slower – snail’ to four for ‘faster – rabbit’. The

final score was the sum of the number of points obtained at each

pace plus one, multiplied by the coefficient resulting from the

estimation of walking speed. Therefore the minimum possible

WELSH score is 1 = [(0

+

0

+

0)

+

1]

×

1, and the maximal score

is 100 = [(8

+

8

+

8)

+

1]

×

4.

All patients had a six-minute walking test to objectively

quantify their walking ability. This test was performed by

a different physician, technician or nurse from the one who

supervised the WELSH completion and blinded to the results

of the WELSH score. The test was performed between two

plastic cones positioned 30 m from each other in a corridor. Oral

instruction in the patient’s language or dialect was to: (1) walk

(never run) back and forth as many times as possible, turning

around the plastic cones; (2) cover as much distance as possible

over six minutes; (3) slow down or stop if needed, and restart

walking when possible. For all tests, we recorded the maximal

walking distance performed at minute six (MWD).

The study was approved by the Institutional Review Board

of the Ministry of Health of Burkina Faso in August 2017, and

registered on ClinicalTrials.gov Identifier: NCT03482869. It was

performed according to the international ethics standards and

conforms to the Helsinki Declaration. A signature confirming

informed consent to participate in the study was obtained from

all patients after oral (and written when possible) explanation

of the study.

Statistical analyses

We analysed the number of incomplete questionnaires to estimate

the questionnaire feasibility. The correlations of the WELSH

scores with MWD were performed with step-by-step linear

regression analysis to determine the factors associated with

MWD. Then the Pearson

r

-coefficient of correlation between the

WELSH score and MWD was calculated. Results are presented

as mean

±

standard deviation or number and percentages.

From previous studies, we estimated the

r

-coefficients of

correlation between the objective measure of walking distance

and the questionnaire to range from 0.35 to 0.66.

6,16-18

Assuming a

coefficient of correlation between WELSH and MWD of at least

0.40, the minimum number of subjects to reach a power of 80%

for two-tailed alpha equal to 0.05 was 47 subjects.

For organisational reasons, the protocol was scheduled over

a series of periods starting in March 2018, in order to recruit 50

patients. Correlation from 0.40 to 0.59 was considered fair, from

0.60 to 0.75 was considered good, and above 0.75 was considered

very good. Statistical analyses were performed with SPSS V15.0.

For all tests, a two-tailed

p

<

0.05 was used to indicate statistical

significance.

Results

Of the 50 patients, 29 (58.0%) were referred for the follow up

of treatment for chronic hypertension, 10 (20.0%) were referred

for apparent non-ischaemic cardiomyopathy, three (6.0%) had

a clinical history of infarction and four patients (8.0%) were

assumed to suffer from chronic valvular disease. Among all these

patients, only four had an echocardiography and two had chest

X-ray imaging to estimate the cardiothoracic index.

The characteristics of the 50 included patients are presented

in Table 1. Notably, two-thirds of the patients stopped their

education at elementary school. Among the 50 patients, one

was unable to complete the WELSH questionnaire even under

supervision. Among the other 49 patients, 33 patients completed

Table 1. Characteristics of study patients

Characteristics

Number (%)

Age (years)

54.8

±

10.7

Females

40 (80.0)

Residential area

Urban

47 (94)

Suburban

1 (2)

Rural

2 (4)

School level

Never been to school

19 (38.0)

Elementary

15 (30.0)

Primary

13 (26.0)

Secondary

3 (6.0)

Weight (kg)

74.9

±

15.2

Height (cm)

163

±

10

Body mass index (kg/m²)

28.6

±

9.2

Waist circumference (cm)

92.5

±

11.8

Self-reported walking limitation

33 (66.0%)

Heart failure

34 (68.0%)

New York Heart Association classification

No dyspnoea

18 (36)

I

13 (23)

II

15 (30)

III

4 (8)