Feasibility, reliability and validity of health-related quality of life questionnaire among adult pulmonary tuberculosis patients in urban Uganda: cross-sectional study
© Babikako et al; licensee BioMed Central Ltd. 2010
Received: 23 October 2009
Accepted: 2 September 2010
Published: 2 September 2010
Despite the availability of standard instruments for evaluating health-related quality life (HRQoL), the feasibility, reliability, and validity of such instruments among tuberculosis (TB) patients in different populations of sub-Saharan Africa where TB burden is of concern, is still lacking.
We established the feasibility, reliability, and validity of the Medical Outcomes Survey (MOS) in assessing HRQoL among patients with pulmonary tuberculosis in Kampala, Uganda.
In a cross-sectional study, 133 patients with known HIV status and confirmed pulmonary TB disease were recruited from one public and one private hospital. Participants were enrolled based on duration of TB treatment according to the following categories: starting therapy, two months of therapy, and eight completed months of therapy. A translated and culturally adapted standardized 35-item MOS instrument was administered by trained interviewers. The visual analogue scale (VAS) was used to cross-validate the MOS.
The MOS instrument was highly acceptable and easily administered. All subscales of the MOS demonstrated acceptable internal consistency with Cronbach's alpha above 0.70 except for role function that had 0.65. Each dimension of the MOS was highly correlated with the dimension measured concurrently using the VAS providing evidence of validity. Construct validity demonstrated remarkable differences in the functioning status and well-being among TB patients at different stages of treatment, between patients attending public and private hospitals, and between men and women of older age. Patients who were enrolled from public hospital had significantly lower HRQoL scores (0.78 (95% confidence interval (CI); 0.64-0.95)) for perceived health but significantly higher HRQoL scores (1.15 (95% CI; 1.06-1.26)) for health distress relative to patients from private hospital. Patients who completed an 8 months course of TB therapy had significantly higher HRQoL scores for perceived health (1.93 (95% CI; 1.19-3.13)), health distress subscales (1.29 (95% CI; 1.04-1.59)) and mental health summary scores (1.27 (95% CI; 1.09-1.48)) relative to patients that were starting therapy in multivariable analysis. Completion of 8 months TB therapy among patients who were recruited from the public hospital was associated with a significant increase in HRQoL scores for quality of life subscale (1.26 (95% CI; 1.08-1.49)), physical health summary score (1.22 995% CI; 1.04-1.43)), and VAS (1.08 (95% CI; 1.01-1.15)) relative to patients who were recruited from the private hospital. Older men were significantly associated with lower HRQoL scores for physical health summary score (0.68 (95% CI; 0.49-0.95)) and VAS (0.87 (95% CI; 0.75-0.99)) relative to women of the same age group. No differences were seen between HIV positive and HIV negative patients.
The study provides evidence that the MOS instrument is valid, and reliably measures HRQoL among TB patients, and can be used in a wide variety of study populations. The HRQoL differed by hospital settings, by duration of TB therapy, and by gender in older age groups.
In Uganda, the estimated overall tuberculosis (TB) incidence is 411 cases per 100,000 population and ranks 16th among the 22 high-burden countries for TB. The Uganda TB treatment success (68%) is far below the WHO target of 85% [1, 2]. A comprehensive understanding of barriers to and facilitators of poor TB treatment outcome is still lacking, and this is a major obstacle to finding effective solutions. The current TB program services and clinical research have focused on outcomes of mortality and microbiologic cure, and have neglected patient's preferences such as patient's perceived health-related quality of life (HRQoL) which may be crucial in influencing treatment outcome. Health-related quality of life involves assessing a person's perception of his or her physical and mental health . Both physical and mental distress is common in TB patients leading to poor disease outcome or poor treatment outcome because of decreased ability to take treatment [4, 5]. Knowing patient's HRQoL would enable program managers and clinicians to understand the functioning and well being of TB patients so that individual patient specific needs are addressed to attain the best clinical or treatment outcome, and thus increasing the likelihood of adequate case management in TB programs.
Despite the availability of standard instruments for assessing HRQoL [6–8], the feasibility; reliability; and validity of such instruments among TB patients in different populations of sub-Saharan Africa, where the burden of TB is of concern, is still limited. This paper fills in this gap with results from a cross-sectional study that evaluated HRQoL among adult TB patients attending public and private program clinics in Kampala, Uganda. We hypothesized: 1) that HRQoL would be better among patients who have been longer on TB therapy than patients starting therapy; 2) that HRQoL would be better among patients attending private hospital compared to public hospital; 3) that HIV negative patients and 4) women would have better HRQoL compared to HIV positive patients and men, respectively.
Design and Setting
We conducted a cross-sectional study between November 2007 and Apri12008 to validate the HRQoL instrument among TB patients. The study centers were Mulago TB treatment center, located at the national teaching hospital, Mulago; and Mengo TB clinic, located at Mengo missionary hospital. Mulago a public hospital and Mengo a private hospital were chosen to achieve patient heterogeneity in the study population, and to understand how patient HRQoL differs by hospital setting. In addition, Mulago hospital was chosen because it serves the largest number of TB patients in Kampala, the capital city. Mengo hospital was conveniently chosen to represent the private missionary hospitals in Kampala city. The Mulago TB treatment center is the principal facility that provides in-patient and outpatients TB care in Kampala city. It has a bed capacity of about 100 beds. The Mulago treatment center registers more than 150 new TB patients a month while Mengo registers about 30.
All TB patients are provided with an opt-out option for HIV counseling and testing at the two hospitals. Identification of TB patients in both treatment centers is by passive case-finding as recommended by the Uganda National Tuberculosis and Leprosy Program (NTLP). Passive case-finding is self-referral of symptomatic individuals to health facilities. The main diagnostic method is sputum microscopy with two positive alcohol-fast bacilli (AFB) smear test or one positive smear test with suggestive chest X- rays findings. During care under the Uganda NTLP guideline recommendation , patients in this study received short course chemotherapy with daily Rifampicin, Isoniazid, Pyrazinamide, and Ethambutol (RHZE) for 2 months and during the continuation phase of 6 months with Isoniazid and Ethambutol (EH).
The protocol was approved by the Faculty of Medicine, Research Ethics Committee and the Uganda National Council for Science and Technology. Participants provided written consent.
Study participants18 or more years of age and identified to have confirmed new TB disease at Mulago and at Mengo TB treatment centers were eligible for recruitment into the study. Participants were consecutively and conveniently enrolled according to the following categories: starting TB treatment, completing two months of treatment, and completing eight months of treatment. Participants residing outside Kampala district or residing beyond 20 kilometers from the treatment centers were excluded. All participants spoke the local language-Luganda.
Identification of eligible participants and administration of the questionnaires were conducted by two study nurses. The study nurses administered the questionnaires in face-to-face interviews after the patient exited the pharmacy unit. The study questionnaires measured HRQoL, HIV status, and socio-demographic information. The study nurses were not involved in the routine care of patients at the individual clinics. Patient's HIV sero-status was obtained verbally from the individual patient and later confirmed with hospital records. Each participant was reimbursed with lunch valued at $1.50 after the interview. Data were double-entered using EpiData version 3.1 2008 .
The Medical Outcome Survey (MOS) was used to measure HRQoL among TB patients . The MOS questionnaire had been previously translated and culturally adapted in Uganda among HIV-infected individuals . The MOS results were validated using the visual analogue scale (VAS) [12, 13]. We used the MOS because it has been shown to have good internal reliability in a wide variety of settings, an excellent discriminant and convergent validity of the subscales [11, 14], and good physical and mental health summary scores in HIV disease [7, 15]. The MOS survey consists of 35 questions which assess ten dimensions of health including general health perceptions, pain, physical functioning, role function, social functioning, mental health, energy/fatigue, cognitive function, health distress and quality of life (QoL). One of the items assesses health transition . For each of the MOS subscales, responses to individual questions were aggregated and scores were converted to a 0-to-100 point scale, with 100 representing the best health status or function. Physical (PHS) and mental health (MHS) summary scores were calculated according to standard guidelines  to have a mean of 50 and a standard deviation of ten.
The 100 cm "feeling thermometer" was used for the visual analogue scale (VAS). Patients indicate their self-perceived quality of life for the day from 0 for the poorest imaginable state to 100 for the best imaginable health state. The interviewer first reviewed the interval properties of the scale then asked the participant to locate the health state on a 100-point scale.
The feasibility of conducting quality of life interviews among TB patients using the MOS in urban Uganda setting was evaluated by examining the percent of missing item responses, interviewer-reported acceptability, and the time and ease of administration. Cronbach's coefficient was calculated to estimate reliability for multi-item scales. In general, coefficient ≥ 0.70 indicates satisfactory reliability . Pearson coefficients were used to correlate respondent's evaluations of their own health states using the VAS and MOS.
The construct validity of HRQoL scores was evaluated in four ways: 1) the researchers hypothesized that there would be differences in the magnitude of the scores for patients starting TB therapy, completing two months on therapy, and those with completed therapy; 2) there would be differences in the magnitude of the scores for patients accessing public care services at Mulago and private care services at Mengo hospitals; 3) there would be differences in magnitude of the scores for HIV positive and HIV negative TB patients; and 4) there would be differences in magnitude of the scores for men and women. Differences between group means of the scores were compared using Wilcoxon-Mann Whitney test due to lack of normality for the scores and reduced power in subgroup analysis. Bonferroni corrections were used to adjust for multiple comparisons and a p-value of <0.008 was taken as significant. We adjusted for sex, HIV status, age and hospital setting. Differences in proportions were tested for using chi-square test.
The effect of variables such as hospital setting, sex, HIV sero-status, and age group on HRQoL scores of the MOS subscales and summary scales were calculated. The effect was calculated using multiple linear regression analysis. The scores for HRQoL of all the subscales were skewed. Therefore, a logarithmic transformation was used to make the data more normally distributed. Relative HRQoL scores by the exponential of regression coefficients from multiple regression analysis were estimated. We evaluated two-way interactions between sex and age group, patient category, or hospital setting; and between hospital setting and patient category. A p-value of less than 0.05 was considered statistically significant. All analysis was performed using SAS software version 9.2 (SAS Institute Inc., Cary, NC; 2004).
Characteristics of 133 tuberculosis study participants in Kampala, Uganda, 2007-2008
Public hospital (n = 67)
Private hospital (n = 66)
Mean age (years) SD2
32.0 ± 9.9
35.2 ± 11.2
Starting therapy (%)
Two months on therapy (%)
Completed therapy (%)
Feasibility and reliability testing
Reliability of the Medical Outcomes Survey involving 133 tuberculosis participants in Kampala, Uganda, 2007-2008
Number of items
Correlation with VAS scorea
Health-related quality of life scores
Of all the MOS subscales, perceived health, bodily pain, quality of life, and role function had the lowest scores (Figure 1). When multiple comparisons were made, we found significant differences in HRQoL scores between patients starting therapy and patients who had completed 8 months course of TB therapy for QoL (41.8 ± 29.4 versus 62.5 ± 26.1; p = 0.001), mental health (61.6 ± 25.5 versus 76.9 ± 20.8; p = 0.003), and health transition (60.9 ± 29.2 versus 81.3 ± 26.5; p = 0.002) MOS subscales; mental health summary score (60.5 ± 21.6 versus 73.4 ± 17.4; p = 0.006); and visual analogue scale (60.7 ± 11.9 versus 77.9 ± 13.3; p < 0.001), respectively (Figure 1).
Medical Outcomes Survey subscales and mean HRQoL scores among 133 tuberculosis participants in Kampala, Uganda, 2007-2008
Hospitals (n = 133)
Gender (n = 133)
HIV status (n = 129)1
Public (n = 67)
Private (n = 66)
Men (n = 67)
Women (n = 66)
HIV sero-positive (n = 64)
HIV sero-negative (n = 65)
31.4 ± 18.2
45.2 ± 31.4b
40.8 ± 27.1
35.6 ± 25.6
41.3 ± 26.6
36.3 ± 26.4
62.4 ± 28.5
55.0 ± 26.2
60.4 ± 29.0
57.0 ± 26.2
58.6 ± 28.5
59.0 ± 27.2
Quality of life
53.7 ± 20.5
54.5 ± 34.2
53.7 ± 27.6
54.5 ± 28.7
55.1 ± 26.8
55.4 ± 28.8
52.2 ± 45.6
60.6 ± 39.7
59.0 ± 43.5
53.8 ± 42.3
55.5 ± 44.6
57.7 ± 41.7
74.0 ± 33.0
70.6 ± 29.2
72.8 ± 31.7
71.8 ± 30.8
71.9 ± 31.6
72.0 ± 31.4
62.1 ± 19.9
62.7 ± 24.6
63.6 ± 23.5
61.1 ± 21.0
62.8 ± 22.6
61.9 ± 22.3
73.4 ± 19.8
67.9 ± 22.4
71.4 ± 23.9
70.0 ± 22.8
72.1 ± 24.3
69.5 ± 22.7
84.2 ± 21.4
69.5 ± 30.8b
79.3 ± 26.5
74.4 ± 28.3
77.7 ± 27.5
76.1 ± 28.0
86.0 ± 18.2
85.6 ± 17.4
84.5 ± 18.9
87.2 ± 16.4
83.2 ± 19.3
88.2 ± 16.1
75.5 ± 20.3
71.8 ± 27.6
76.5 ± 24.0
70.8 ± 24.3
74.3 ± 23.4
73.8 ± 23.9
71.3 ± 23.9
76.5 ± 30.0
72.8 ± 27.1
75.0 ± 27.4
75.8 ± 24.8
73.1 ± 29.7
65.4 ± 21.3
64.3 ± 25.1
67.0 ± 24.1
62.8 ± 22.2
65.1 ± 24.1
65.0 ± 22.4
67.8 ± 14.7
66.9 ± 24.8
68.2 ± 20.5
66.5 ± 20.2
68.3 ± 21.5
66.8 ± 19.7
Visual analogue scale
65.0 ± 13.9
72.2 ± 14.6b
69.1 ± 16.1
68.0 ± 13.1
67.6 ± 14.7
69.8 ± 14.9
Relative Medical Outcomes Survey HRQoL scores involving 133 tuberculosis participants in Kampala, Uganda, 2007-2008
Selected MOS Health-related quality of life subscales
Two mo therapy
Complete 8 mo therapy
Public*8 mo therapy
Quality of life
Physical health summary score
Mental health summary score
Visual analogue scale
In multivariable analysis after adjusting for sex, HIV status, age, and patient category, patients who were enrolled from the public hospital had significantly lower HRQoL scores for perceived health (0.78 (95% confidence interval (CI); 0.64-0.95)), quality of life (0.84 (95% CI; 0.77-0.92)), and VAS subscales (0.92 (95% CI; 0.92-0.96)) relative to patients from the private hospital (Table 4). However, patients from the public hospital had significantly higher HRQoL scores (1.15 (95% CI; 1.06-1.26)) for health distress relative to patients from the private hospital. Patients who completed an 8 months course of TB therapy had significantly higher HRQoL scores for perceived health subscale (1.93 (95% CI; 1.19-3.13)), health distress subscale (1.29 (95% CI; 1.04-1.59)) and mental health summary scores (1.27 (95% CI; 1.09-1.48)) relative to patients that were starting therapy.
Further in multivariable analysis (Table 4), patients who completed 8 months of TB therapy among patients who were recruited from the public hospital had a significant increase in HRQoL scores for QoL subscale (1.26 (95% CI; 1.08-1.49)), physical health summary score (1.22 (95% CI; 1.04-1.43)), and visual analogue scale (1.08 (95% CI; 1.01-1.15)) relative to patients who were recruited from the private hospital and had completed 8 months of TB therapy. Men of 35 to 44 years in age were associated with significantly lower HRQoL scores for physical health summary score (0.68 (95% CI; 0.49-0.95)) and visual analogue scale (0.87 (95% CI; 0.75-0.99)) relative to women of the same age group. For the QoL scores for HIV positive relative to HIV negative patients were not significantly different for all the MOS subscales and the VAS scale (Tables 3 and 4).
We performed the feasibility and reliability of the MOS to measure HRQoL among HIV positive and HIV negative patients with pulmonary TB receiving care at public and private hospitals in urban, Uganda. The key finding in this study of 133 patients with pulmonary TB is that the MOS in measuring HRQoL performed well on the psychometric indicators and this instrument appears to be an effective tool for evaluating HRQoL among TB patients. The scale demonstrated acceptable internal consistency among TB patients with different stages of treatment. Evaluation of constructs revealed remarkable differences in the functional status and well-being among TB patients at different stages of treatment, hospital settings, and gender. However, no differences were seen by HIV status.
Findings in this study suggest that TB patients have poor HRQoL at the time of diagnosis and this impression appear to be marked among patients attending public compared to private health institutions particularly for perceived health, bodily pain, role function, and health distress. However, patients receiving care from public health institution had substantial relative increase in HRQoL scores for QoL subscale, physical health summary score, and visual analogue scale following TB therapy compared to patients who received care from private institution. This suggest that patients receiving care in public health institutions appear to catch-up in HRQoL to those receiving care in private institutions and that TB therapy improves HRQoL regardless of treatment setting.
In this study, men of older age had poor HRQoL score relative to women of similar age group suggesting that men were sicker compared to women. This probably reflects on the health seeking habits for men which could be that by the time men present, their disease is advanced. We found no differences in HRQoL scores by HIV status probably because HIV impacts minimally on HRQoL among patients with TB; however, this requires further evaluation in prospective studies and after teasing the effect of HIV disease severity.
Results of the psychometric testing of the MOS in a population of patients with pulmonary TB in the present study were similar to prior studies that culturally adapted it into the local language- Luganda in Uganda among HIV-infected women . The reliability coefficients for the MOS subscales in prior studies among HIV-infected women were above 0.70 except for role functioning at 0.43 and vitality at 0.64. Similarly in the present study, all MOS subscales had coefficients above 0.70 except role functioning that had 0.65. Further evidence for validity of our findings is shown by the high correlation of each dimension of the MOS with the dimension measured concurrently using the VAS.
There is paucity of research on HRQoL among TB patients in the African population, and particularly few have evaluated HRQoL using generic standardized or disease-specific quality of life instruments. The score profiles in our study population were quite similar to those reported in a cross-sectional study from South Africa . For example, the mental health score was 55.6 ± 12.8 for the South African study compared to 61.6 ± 25.5 for the present study. This suggests that HRQoL may be affected similarly by TB disease across cultural contexts. Compared to the South African study, the major strengths with our study is the heterogeneity of the study population that included patients from different hospital settings, patients at different stages of TB therapy, HIV positive, and HIV negative. Thus our study findings are generalizable to a wide-range of patients particularly countries in sub-Saharan Africa with a high burden of TB and HIV.
Our study was not without limitations including lack of test re-test reliability for us to comment on the stability of the MOS HRQoL scores across time. In addition, the study design was cross-sectional in nature and thus the associations may not be causal. Further, our findings were limited by lack of data on severity of HIV disease which might affect HRQoL scores . Nevertheless, our findings may provide insight to the future predictive validity of the study instrument among TB patients because participants were enrolled at different stages of treatment.
In conclusion, this study provides evidence that the MOS instrument is a valid and reliable measure of HRQoL among TB patients and can be used in a wide variety of study populations and settings. Further, findings revealed that treatment improved HRQoL among TB patients. However, there were differences in HRQoL among TB patients by hospital settings, and by gender among older patients.
HMB, MBChB, MPH currently a PhD student at Case Western Reserve University
DN, PhD, Professor at Case Western Reserve University, Department of Epidemiology and Biostatistics
AK, MBChB, DCH, M.S., PhD Lecturer Clinical Epidemiology Unit College of Health Sciences, Makerere University
EM, MBChB, M.MED, M.S. Lecturer Department of Paediatrics & Child Health, College of Health Sciences, Makerere University
We are grateful to Dr. Harriet Bitimwine for coordinating the study and Dorothy Nairuba for assisting in data collection.
- Tuberculosis control and research strategies for the 1990s: memorandum from a WHO meeting. Bull World Health Organ 1992,70(1):17–21.Google Scholar
- World Health organization Global tuerculosis control: WHO Report. 2003.Google Scholar
- Wong E, Cronin L, Griffith L, Irvine EJ, Guyatt GH: Problems of HRQL assessment: how much is too much? J Clin Epidemiol 2001,54(11):1081–5. 10.1016/S0895-4356(01)00393-6PubMedView ArticleGoogle Scholar
- Rajeswari R, Balasubramanian R, Muniyandi M, Geetharamani S, Thresa X, Venkatesan P: Socio-economic impact of tuberculosis on patients and family in India. Int J Tuberc Lung Dis 1999,3(10):869–77.PubMedGoogle Scholar
- Liefooghe R, Michiels N, Habib S, Moran MB, De Muynck A: Perception and social consequences of tuberculosis: a focus group study of tuberculosis patients in Sialkot, Pakistan . Soc Sci Med 1995,41(12):1685–92. 10.1016/0277-9536(95)00129-UPubMedView ArticleGoogle Scholar
- Ware JE Jr, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992,30(6):473–83. 10.1097/00005650-199206000-00002PubMedView ArticleGoogle Scholar
- Mast TC, Kigozi G, Wabwire-Mangen F, Black R, Sewankambo N, Serwadda D, et al.: Measuring quality life among HIV-infected women using a culturally adapted questionnaire in Rakai district, Uganda. AIDS Care 2004,16(1):81–94. 10.1080/09540120310001633994PubMedView ArticleGoogle Scholar
- EuroQol: --a new facility for the measurement of health-related quality of life. The EuroQol Group. Health Policy 1990,16(3):199–208. 10.1016/0168-8510(90)90421-9View ArticleGoogle Scholar
- Uganda Ministry of Health: National Tuerculosis and Leprosy Control Program Annual Report 2002. Kampala 2003 2002.Google Scholar
- Lauritsen JM: EpiData Data Entry, Data Management and basic Statistical Analysis System. In Odense Denmark, EpiData Association, 2000–2008 Edited by: Lauritsen JM. 2008. [http://www.epidata.dk]Google Scholar
- Wu AW, Revicki DA, Jacobson D, Malitz FE: Evidence for reliability, validity and usefulness of the Medical Outcomes Study HIV Health Survey (MOS-HIV). Qual Life Res 1997,6(6):481–93. 10.1023/A:1018451930750PubMedView ArticleGoogle Scholar
- Torrance GW: Measurement of health state utilities for economic appraisal. J Health Econ 1986,5(1):1–30. 10.1016/0167-6296(86)90020-2PubMedView ArticleGoogle Scholar
- Froberg DG, Kane RL: Methodology for measuring health-state preferences-- II: Scaling methods. J Clin Epidemiol 1989,42(5):459–71. 10.1016/0895-4356(89)90136-4PubMedView ArticleGoogle Scholar
- Wu AW, Hays RD, Kelly S, Malitz F, Bozzette SA: Applications of the Medical Outcomes Study health-related quality of life measures in HIV/AIDS. Qual Life Res 1997,6(6):531–54. 10.1023/A:1018460132567PubMedView ArticleGoogle Scholar
- Revicki DA, Sorensen S, Wu AW: Reliability and validity of physical and mental health summary scores from the Medical Outcomes Study HIV Health Survey. Med Care 1998,36(2):126–37. 10.1097/00005650-199802000-00003PubMedView ArticleGoogle Scholar
- McDowell I, Newell C, editors: Measuring health. 2nd edition. New York: Oxford University ress; 1996.Google Scholar
- McInerney PA, Nicholas PK, Wantland D, Corless IB, Ncama B, Bhengu B, et al.: Characteristics of anti-tuberculosis medication adherence in South Africa. Appl Nurs Res 2007,20(4):164–70. 10.1016/j.apnr.2006.06.006PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.