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Introdução à Medicina Turma 6 – 2006/2007. Quality of Life in Oporto and South of Douro Region – Comparison of EQ-5D and SF-36. What is Quality of Life (QoL)?. Difficult to define Multidimensional: Subjective Objective
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Introdução à Medicina Turma 6 – 2006/2007 Quality of Life in Oporto and South of Douro Region – Comparison of EQ-5D and SF-36
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 – important to improve populations’ well being. Jenney M, Campbell S. Measuring quality of life. Arch. Dis. Child. 1997; 77:347-350Clinical Rehabilitation, 2003; 17: 865-870 Research in Developmental Disabilities. 1995, 16 (1); 51-74.
Objectives • 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 HR-QoL generic instruments – EQ-5D and SF-36. • Secondary objectives • Compare results between groups: • Age • Sex
Methods • Random choice of 478 residences from the “Oporto and South of Douro” phonebook
Methods – Pilot Study • Test the adopted method and improve it • Questionnaires + 4 additional questions about the viability of the study sent to 30 residences • No difficulties filling the questionnaires
Methods – Final Study • Different techniques were adopted to maximize the response rates in the final study: • Make the questionnaire more personal and attractive Pilot Study Final Study
Methods – Final Study • A bookmark was sent inside the letters to act as an incentive • A reminder note was sent with the second letters Reminder Note Bookmark
SF-36: Response by items PF RP RE PF – physical functioningRP – role limitations due to physical healthRE – role limitations due to emotional problems
SF-36 domains PF – physical functioningRP – role limitations due to physical healthRE – role limitations due to emotional problemsEF – energy/fatigueEW – emotional well-beingSF – social functioningP – painGH – general health
Male Mean Gender Female EQ-5D:independent samples T-test
Male Mean * * * * Gender Female * * by Independent samples t test: p<0.05 SF-36:independent samples T-test PF – physical functioningRP – role limitations due to physical healthRE – role limitations due to emotional problemsEF – energy/fatigueEW – emotional well-beingSF – social functioningP – painGH – general health
18-39 * * * * Mean 40-64 Age Categories * * * * ≥ 65 EQ-5D: OneWay ANOVA * * by OneWay ANOVA: p<0.05
18-39 * * * * * * * * Mean 40-64 Age Categories * * * * * * * * ≥ 65 * * by OneWay ANOVA: p<0.05 SF-36: OneWay ANOVA PF – physical functioningRP – role limitations due to physical healthRE – role limitations due to emotional problemsEF – energy/fatigueEW – emotional well-beingSF – social functioningP – painGH – general health
No Mean * * * * Have/had a serious disease? Yes EQ-5D:independent samples T-test * * by Independent samples t test: p<0.05
No Mean * * * * * * * * Have/had a serious disease? Yes * * by Independent samples t test: p<0.05 SF-36:independent samples T-test PF – physical functioningRP – role limitations due to physical healthRE – role limitations due to emotional problemsEF – energy/fatigueEW – emotional well-beingSF – social functioningP – painGH – general health
Discussion – Method’s limitations • Mail surveys: • Often low response rates • People might be unable to answer some questions • Sample selection: • Inhabitants without telephone, or whose phone number is not listed will not be contemplated • The phonebook may be outdated or even lack address information
Discussion – Other limitations • Quality of Life: • Vast definition • Not objective • Difficult to measure • Varies with: • Time • Place • Personal expectations
a: Quality of Life Research, 1998; 7: 155-166 b: Quality of Life Research, 2005; 14: 1099-1109 c: Quality of Life Research, 2005; 14: 1099-1109 d: Health and Quality of Life Outcomes, 2006; 4: 47 e: Quality of Life Research, 1998; 7: 311-322 Discussion
Conclusions • It was possible to quantify HR-QoL in the Oporto and South of Douro region using EQ-5D and SF-36. • The scales and subscales of both instruments are strongly correlated. • HR-QoL has little statistically significant differences between genders. • Statistically significant differences were found between age categories and health conditions.