Transcript 2nd Presentation

Quality of Life in Oporto and
South of Douro Region –
Comparison of EQ-5D and SF-36
Introdução à Medicina
Turma 6 – 2006/2007
What is Quality of Life (QoL)?
• Difficult to define
• Multidimensional:
 Subjective
 Objective
• Not a static definition – varies with time and from
person to person.
• Quantifying QoL –
populations’ well being.
important
to
Jenney M, Campbell S. Measuring quality of life. Arch. Dis. Child. 1997; 77:347-350
McKevitt C, Redfern J, La-Placa V, Wolfe CDA. Definig and using quality of life: a survey of health care professionals: Clinical Rehabilitation, 2003; 17: 865-870
Felce D, Jonathan P. Quality of Life: Its Definition and Measurement: Research in Developmental Disabilities. 1995, 16 (1); 51-74.
improve
What is Quality of Life (QoL)?
Felce D, Jonathan P. Quality of Life: Its Definition and Measurement: Research in Developmental Disabilities. 1995, 16 (1); 51-74.
EQ-5D
SF-36
Protocol
• Primary objective
– Quantify the Health Related-Quality of Life (HR-QoL) of
the adult population in Oporto and South of Douro
region.
– Compare measurement scales and subscales and
analyse the agreement between two broadly used HRQoL generic instruments – EQ-5D and SF-36.
• Secondary objectives
– Compare results between typical groups:
• Age
• Sex
– Compare the results of our study with the results of
pre-existing studies.
Protocol
• Study design
– Cross-Sectional Survey
1.Cheap
2.Quick
3.No follow up, less resources
Protocol
• Selection criteria:
– General adult population (aged 18 or above)
within the Oporto and South of Douro region,
living in a household with phone.
– Listed telephone numbers.
• Sampling design:
Number of letters=
191
= 478
40%
Methods
Methods
Start
Send letter with
questionnaire
Wait 2 weeks
Answer in 2 weeks
period?
No
Contact by phone
Yes
Letter
received?
No
Yes
Wish to
participate in the
study?
Interested in
answering?
Yes
Yes
Wait 1 week
Send another
letter
Answer?
Yes
No
No
Another call
No
Wish to
answer?
Yes
No
Get general
data
Insert data
in SPSS
Non
response
Finish
Protocol
• Sampling design:
– Random choice of
phone
numbers
from the “Oporto
and South of Douro”
phonelist
using
www.randomizer.org
- which randomly
creates groups of
numbers.
Sample selection
Sample selection
Start
Random choice of
page number
(phonebook)
Random choice of
column number
(phonebook)
Random choice of
line number
(phonebook)
Yes
Does the line number generated
correspond to an unexisting line in the
column?
Continue to the next
column (on the
same/next page)
No
No
Residence?
No
Yes
Find the next
residence (on the
same/next page)
Address, zip
code and
telephone
number
Insert data in
SPSS
478 residences
selected?
Yes
Finish
Pilot study
• Test the adopted method and possibly
improve it
• Questionnaires + 4 additional questions
about the viability of the study
Questionnaire
Database
Results
Re sponde u e ree nviou o que stionário?
Valid
Frequency
Sim
5
Não
21
Carta não entregue
4
Total
30
Percent
16,7
70,0
13,3
100,0
Valid Perc ent
16,7
70,0
13,3
100,0
Cumulative
Percent
16,7
86,7
100,0
Teve dificuldade em preencher o inquérito
Valid
Não
Frequency
5
Percent
100,0
Valid Percent
100,0
Cumulative
Percent
100,0
Results
n
Res pondeu e reenviou o
questionário?
Sim
Não
Carta não entregue
Idades categorizadas
18-34
35-49
50-64
>= 65
Sexo
Mas culino
Feminino
Fuma?
Fumador
Ex-fumador
Nunca fumou
Actividade actual
Empregado/conta própria
Reformado
Doméstica
Estudante
Procura emprego
Outro
Educação além da es colaridade
Sim
mínima obrigatória
Não
Pos sui curso s uperior ou qualificação Sim
profis sional obrigatória
Não
Já teve contacto com doenças graves Sim
ao cuidar de outras pes soas ?
Não
Teve dificuldade em preencher o
Sim
inquérito
Não
Quanto tempo demorou?
VAS
5
21
4
0
0
3
2
4
1
1
3
1
3
2
0
0
0
0
3
1
3
1
2
1
0
5
%
16,7%
70,0%
13,3%
,0%
,0%
60,0%
40,0%
80,0%
20,0%
20,0%
60,0%
20,0%
60,0%
40,0%
,0%
,0%
,0%
,0%
75,0%
25,0%
75,0%
25,0%
66,7%
33,3%
,0%
100,0%
Mean
10
65
Standard
Deviation
7
22
Results
VAS
Count
Resultado
EQ-5D
11112
21121
21222
22112
1
2
1
1
Mean
96
55
50
70
EQ-5D
índice
Mean
87,1
70,4
52,9
66,5
Results
Group Statistics
EQ-5D índice
Sexo
Mas culino
Feminino
N
4
1
Mean
69,225
70,400
Std. Deviation
14,0810
.
Std. Error
Mean
7,0405
.
Independent Samples Test
Levene's Tes t for
Equality of Variances
F
EQ-5D índice
Equal variances
ass umed
Equal variances
not as sumed
t-tes t for Equality of Means
Sig.
.
t
.
df
Sig. (2-tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
Upper
-,075
3
,945
-1,1750
15,7431
-51,2765
48,9265
.
.
.
-1,1750
.
.
.
Results
Descriptives
EQ-5D índice
N
50-64
>= 65
Total
3
2
5
Mean
75,967
59,700
69,460
Std. Deviation
9,6417
9,6167
12,2059
Std. Error
5,5667
6,8000
5,4586
95% Confidence Interval for
Mean
Lower Bound Upper Bound
52,015
99,918
-26,702
146,102
54,304
84,616
Minimum
70
53
53
Test of Homogeneity of Variances
EQ-5D índice
Levene
Statis tic
,067
df1
df2
1
3
Sig.
,812
ANOVA
EQ-5D índice
Between Groups
Within Groups
Total
Sum of
Squares
317,525
278,407
595,932
df
1
3
4
Mean Square
317,525
92,802
F
3,422
Sig.
,161
Maximum
87
67
87
Results
Badia X, Schiaffino A, Alonso J, Herdman M. Using the EuroQol 5-D in the catalan general population: feasibility and construct validity. Barcelona:
Quality of Life Research, 1998; 7: 311-322
One-Sample Statistics
N
EQ-5D índice
5
Mean
69,460
Std. Deviation
12,2059
Std. Error
Mean
5,4586
One-Sample Test
Test Value = 91.6
EQ-5D índice
t
-4, 056
df
4
Sig. (2-tailed)
,015
Mean
Difference
-22,1400
95% Confidenc e
Int erval of t he
Difference
Lower
Upper
-37,296
-6, 984
Results
Badia X, Schiaffino A, Alonso J, Herdman M. Using the EuroQol 5-D in the catalan general population: feasibility and construct validity. Barcelona:
Quality of Life Research, 1998; 7: 311-322
One-Sample Statistics
N
VAS
Mean
65,20
5
Std. Deviation
21,568
Std. Error
Mean
9,646
One-Sample Test
Test Value = 71.1
VAS
t
-,612
df
4
Sig. (2-tailed)
,574
Mean
Difference
-5, 900
95% Confidenc e
Int erval of t he
Difference
Lower
Upper
-32,68
20,88
Results
EQ-5D indice cate gorizado * Idades cate gori zadas Crosstabulation
EQ-5D indice
categorizado
Razoável
Bom
Muito bom
Total
Count
Ex pec ted Count
% within EQ-5D
indice categorizado
% within Idades
categorizadas
% of Total
Count
Ex pec ted Count
% within EQ-5D
indice categorizado
% within Idades
categorizadas
% of Total
Count
Ex pec ted Count
% within EQ-5D
indice categorizado
% within Idades
categorizadas
% of Total
Count
Ex pec ted Count
% within EQ-5D
indice categorizado
% within Idades
categorizadas
% of Total
Idades cat egorizadas
50-64
>= 65
0
1
,6
,4
Total
1
1,0
,0%
100,0%
100,0%
,0%
50,0%
20,0%
,0%
2
1,8
20,0%
1
1,2
20,0%
3
3,0
66,7%
33,3%
100,0%
66,7%
50,0%
60,0%
40,0%
1
,6
20,0%
0
,4
60,0%
1
1,0
100,0%
,0%
100,0%
33,3%
,0%
20,0%
20,0%
3
3,0
,0%
2
2,0
20,0%
5
5,0
60,0%
40,0%
100,0%
100,0%
100,0%
100,0%
60,0%
40,0%
100,0%
Chi-Square Te sts
Pearson Chi-Square
Lik elihood Ratio
Linear-by-Linear
As soc iation
N of Valid Cases
Value
2,222a
2,911
1,667
2
2
As ymp. Sig.
(2-sided)
,329
,233
1
,197
df
5
a. 6 c ells (100,0% ) have expected count less t han 5. The
minimum expected count is ,40.
Results
EQ-5D indice categorizado * Fuma? Crosstabulation
EQ-5D indice
categorizado
Razoável
Bom
Muito bom
Total
Count
Expected Count
% within EQ-5D
indice categorizado
% within Fuma?
% of Total
Count
Expected Count
% within EQ-5D
indice categorizado
% within Fuma?
% of Total
Count
Expected Count
% within EQ-5D
indice categorizado
% within Fuma?
% of Total
Count
Expected Count
% within EQ-5D
indice categorizado
% within Fuma?
% of Total
Fumador
1
,2
Fuma?
Ex-fumador
0
,6
Nunca fumou
0
,2
100,0%
,0%
,0%
100,0%
100,0%
20,0%
0
,6
,0%
,0%
2
1,8
,0%
,0%
1
,6
20,0%
20,0%
3
3,0
,0%
66,7%
33,3%
100,0%
,0%
,0%
0
,2
66,7%
40,0%
1
,6
100,0%
20,0%
0
,2
60,0%
60,0%
1
1,0
,0%
100,0%
,0%
100,0%
,0%
,0%
1
1,0
33,3%
20,0%
3
3,0
,0%
,0%
1
1,0
20,0%
20,0%
5
5,0
20,0%
60,0%
20,0%
100,0%
100,0%
20,0%
100,0%
60,0%
100,0%
20,0%
100,0%
100,0%
Total
1
1,0
Chi-Square Te sts
Pearson Chi-Square
Lik elihood Ratio
Linear-by-Linear
As soc iation
N of Valid Cases
Value
5,556a
5,684
1,000
4
4
As ymp. Sig.
(2-sided)
,235
,224
1
,317
df
5
a. 9 c ells (100,0% ) have expected count less t han 5. The
minimum expected count is ,20.
Results
EQ-5D indice cate gori zado * Já te ve contacto com doenças graves? Crossta bula tion
EQ-5D indice
categorizado
Razoável
Bom
Muito bom
Total
Count
Ex pec ted Count
% within EQ-5D indice
categorizado
% within Já teve contac to
com doenç as graves?
% of Total
Count
Ex pec ted Count
% within EQ-5D indice
categorizado
% within Já teve contac to
com doenç as graves?
% of Total
Count
Ex pec ted Count
% within EQ-5D indice
categorizado
% within Já teve contac to
com doenç as graves?
% of Total
Count
Ex pec ted Count
% within EQ-5D indice
categorizado
% within Já teve contac to
com doenç as graves?
% of Total
Já teve contact o com
doenças graves ?
Sim
Não
1
0
,6
,4
Total
1
1,0
100,0%
,0%
100,0%
33,3%
,0%
20,0%
20,0%
2
1,8
,0%
1
1,2
20,0%
3
3,0
66,7%
33,3%
100,0%
66,7%
50,0%
60,0%
40,0%
0
,6
20,0%
1
,4
60,0%
1
1,0
,0%
100,0%
100,0%
,0%
50,0%
20,0%
,0%
3
3,0
20,0%
2
2,0
20,0%
5
5,0
60,0%
40,0%
100,0%
100,0%
100,0%
100,0%
60,0%
40,0%
100,0%
Chi-Square Te sts
Pearson Chi-Square
Lik elihood Ratio
Linear-by-Linear
As soc iation
N of Valid Cases
Value
2,222a
2,911
1,667
2
2
As ymp. Sig.
(2-sided)
,329
,233
1
,197
df
5
a. 6 c ells (100,0% ) have expected count less t han 5. The
minimum expected count is ,40.
Study database