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The quality of tuberculosis services in health care centres in a rural district in Uganda: the providers' and clients' perspective.

1. Introduction

Tuberculosis (TB) remains a major public health problem worldwide. There were 8.6 million new TB cases and 1.3 million TB deaths in 2012 [1]. The African region alone accounted for 27% of the world's cases and the highest rates of cases and deaths relative to population (225 incident cases per 100,000 on average and more than double the global average of 122) [1].

Uganda's TB burden remains unacceptably high, ranking 19th among the 22 high burden TB countries globally. In 2010, Uganda only reached 57% case detection rate (CDR) as opposed to the WHO target of 70%. Kamuli, a rural district located in the South Eastern TB Zone as designated by the Uganda National TB and Leprosy Program (NTLP), had 35.7% CDR for new smear positive cases. Out of the 225 sputum smear positive cases captured in 2010, 84 (37.3%) got cured, 106 (47.1%) completed treatment, 13 (6%) died, 1 (0.4%) was a failure, 16 (7.1%) defaulted treatment, and the other 5 (2.2%) were transferred to another district (Kamuli Annual Report on TB/Leprosy Control 2011).

Literature suggests that poor quality of care may result from discrepancies in documentation such as underreporting and gaps in the continuum of care services that the patients receive [1]. Donabedian developed the structures, process, and outcomes model as a framework for assessing the quality of health care services [2]. Structure consists of physical health facility, medical equipment, and staff characteristics. Processes of care involve interactions between users and the health care structures, the actual delivery, and receipt of care. Outcomes are consequences of care. Structures as well as processes may influence outcome, indirectly or directly [3]. There is low comprehensive knowledge about TB in the general population including lack of information on the TB service delivery points among other factors [4].

In Uganda, TB health care services at the district level are delivered through a continuum of various health facility structures designated as hospitals and Health Centers IV and III. Depending on the structural level of the health facility, the processes of care may begin with patient screening by health providers using specific case screening tools like the desk aids, intensified TB case finding forms (ICF), and the suspect register. The screening process could happen at outpatient clinics, specialized HIV/AIDS clinics, waiting rooms, and/or in-patient wards. The TB suspects are then registered and referred to the laboratory where bacteriological diagnosis is done on two samples (one spot and one early morning) by either Ziehl Neelsen (ZN) or fluorescence microscopy and documentation is done in the laboratory TB register [5]. At all the TB service points, the TB suspects or patients are supposed to be given specific information about TB symptoms, diagnosis, treatment, and follow up. Confirmed TB patients are registered and information is transferred to the health unit TB register. Patients are started on antituberculosis treatment, monitored monthly while on treatment for clinical and bacteriologic response, and evaluated at the end of treatment to document the relevant outcomes.

Given the various points within the health services that have to be traversed, the services patients receive can be compromised at the structural process or outcome levels leading to poor quality of TB care. However, the contributing structural and process factors have not been systematically studied and documented. Therefore, this study sought to establish the factors that influence quality of services among new smear positive TB cases in health care centers in Kamuli district. We adapted the Donabedians structure, process, and outcomes model as the conceptual framework to study the factors that influence quality of TB services (Figure 1).

The results can inform the NTLP about the status of the quality of TB services in this rural setting and highlight pragmatic ways in which services can be improved.

2. Methods

2.1. Study Design. A cross-sectional study was conducted in Kamuli district using mixed methods. Both qualitative and quantitative data were collected. The patients' overall perception of the services together with the WHO, NTLP, and International Standards for Tuberculosis Care (ISTC) were used to judge the overall quality of services offered at the facilities. Quality was measured by the difference between expected and actual performance to identify opportunities for improvement.

2.2. Study Area. Kamuli district located in the South Eastern TB Zone of Uganda, 150 kms from Kampala, was the study area selected on the basis of having poor TB outcomes for the new sputum smear positive cases in the year 2010. The district has 2 hospitals, 2 health center fours (HCIV), and 11 health centre threes (HCIII). Malaria, acute respiratory infections, intestinal worms, sexually transmitted infections (STI), and HIV and AIDS are the commonest causes of morbidity in the district.

2.3. Study Population. The study was carried out at tuberculosis diagnostic and treatment health units and the study participants were health unit in-charges, in-charges antiretroviral therapy (ART) clinics, TB focal persons, TB suspects, and confirmed TB patients aged 15 years and above and found at the health facilities on the day of visit. The above health workers were selected based on the knowledge base they had on TB services and logistics for TB care.

2.4. Inclusion and Exclusion Criteria. Diagnostic treatment facilities were included in the study. All the health workers (HW) who participated had worked at the facility for at least 3 and above months. Any TB suspects aged 15 years and above who had gone through all the service points up to the level of getting results from the laboratory, confirmed TB cases who had gone up to the point of receiving treatment or were already on treatment and found at the health facility at the time of the visit were included in the study. Patients too weak to be interviewed as judged by the research assistant were excluded and transfer ins from the health facility treatment register were also excluded from both the record review and interviews.

2.5. Sample Size. To establish the quality of the structural and processes of TB service care, 20 health workers and 392 (determined using the Leslie Kish formula) patients were interviewed after accounting for a 10% nonresponse rate. The number of patients to be interviewed at each facility was determined using the probability proportionate to size method. Kamuli Government hospital 182, Kamuli Mission Hospital 69, Namwendwa HCIV 53, Bulopa HCIII 10, Balawoli HCIII 32, Butansi 16 HCIII, and Bupadhengo HCIII had 30 patients interviewed. There were no patient interviews in Nankandulo HCIV, because at that time laboratory TB diagnosis had been stopped though we went ahead to interview the health workers. To establish the level of TB service care outcomes, all the study facilities were included and data for the new smear positive patients captured in 2010 was reviewed.

2.6. Sampling Procedure. A list of all the diagnostic treatment units (DTU) was obtained from the district health officer (DHO) to ensure that a representative number was considered for the study. From the list, the 2 hospitals (Kamuli Government Hospital and Kamuli Mission Hospital), 2 HCIV (Nankandulo HCIV and Namwendwa HCIV) were considered. However, since the HCIIIs were many, 2 high work load (Balawoli HCIII and Bupadhengo HCIII) and 2 low work load health facilities (Butansi HCIII and Bulopa HCIII) were considered for the study. Selection of health workers was done purposively. Tuberculosis patients (suspects or TB cases) exiting were enrolled to participate in the study consecutively until the required sample size was got. Data recorded in the TB laboratory and unit TB register for the year 2010 were reviewed to collect information on the number of ZN smears, cases notified, treatment completion, cure, defaulting, and death.

2.7. Data Collection. Information on quality of the structural and process factors was got by use of an on-site observation guide, a checklist, and holding face to face interviews using a semistructured questionnaire with in-charges of health care units, in-charges ART clinics, and TB focal persons. Tuberculosis suspects and cases were too face-to-face interviewed on the quality of process, some structural aspects, and overall rating of the facility in terms of quality. Data in the TB laboratory register was also reviewed to get information on the number of suspects assessed and how many of the ZN tests had been done for each suspect for the year 2010. Information on outcomes of TB care was got by reviewing records in the health unit treatment TB registers for the year 2010 since it was expected that all the patients who were detected and started on treatment in that year had already had an outcome. To judge the overall quality of a particular health facility, the information collected about the quality of structural, process, and level of outcomes of TB service care was summarized into an indicator table which eventually led to a final judgment of the quality of services offered. Least performance score implied good quality services while the greatest score implied poor quality services offered by a facility (Table 1). The best and worst quality performance facilities and indicators were identified.

2.8. Quality Control. Two research assistants with knowledge on TB care were recruited for each facility and trained for 2 days on issues concerning this study. The research assistants were both English and Lusoga speakers whose least level of education was ordinary level.

2.9. Data Management. Data was entered and checked using EPI INFO 2008 version and exported to STATA version 10 for analysis. Missing data was ignored since it was small compared to the total data set count. Univariate analysis was run to obtain the baseline characteristics of the patients. Univariate analysis was also done to establish proportions, frequencies, and percentages regarding the performance of the health units on the different parameters of TB service delivery. For confidentiality reasons, the health facility names were replaced with letters when reporting on the number of ZN tests done, the TB outcomes, and the general quality performance of each facility. In order to clearly indicate the most serious and common problems faced by health care workers, all the problems mentioned by each of them were summarized and key issues were stated. For each problem, the number of times it was mentioned by the different health care workers was tallied and the total was recorded.

2.10. Ethical Considerations. Approval was got from the Uganda National Council of Science and Technology, through Makerere University, School of Public Health, and permission was sought from the district health officer. Informed consent was also sought from the respondents of 18+ years and care takers/parents of patients 15 to 17 years of age. Assent was sought from respondents of 15 to 17 years of age.

3. Results

3.1. Baseline Characteristics of the Patients Attending Health Facilities in Kamuli District, March-May 2012. The study consisted of 392 respondents of which 220 (56.12%) were suspects, 33 (8.42%) were newly confirmed TB cases, and 139 (35.46%) were TB cases on treatment. Most of the respondents 226 (58.80%) were female, belonging to age category 25-34, 123 (31.38%), and 35-44, 128 (32.65%), 294 (75%) were rural residents, and 249 (63.52%) were peasant farmers who had attained 191 (48.72%) primary education as the highest level of education reached and the biggest numbers of the respondents were protestants (Table 2).

3.2. Quality of the Structural Aspects of TB Service Care

3.2.1. Structural and Overall Organizational Characteristics among the Health Facilities. All the 8 facilities had suspect, laboratory, and unit registers, intensified case finding forms, a full set of TB testing reagents, a microscope, anti-TB drugs, and a system of tracing patients who either tested positive or started on treatment and disappeared. All the 8 facilities were giving return appointments to patients who were smear negative and had been put on antibiotics at the time of study. Only 3/8 facilities had the TB management desk aid, only 2/8 were using and filling in the TB suspect registers consistently, and 7/8 had sputum mugs; all the 8 facilities had no evidence of their microscopes having been serviced in the last one year, 1/8; that is, Nankandulo HCIV, did not have a system of identifying coughing patients from waiting areas, wards, and so on (Table 3).

3.3. Laboratory Staffing Levels of the Health Facilities. Each of the 2 HCIVs and the 4 HCIIIs had 2 laboratory personnel. Each of the hospitals only had 5 laboratory personnel (Figure 2). The most qualified laboratory staffs were technicians with a diploma in medical laboratory technology while the least qualified were microscopists who are basically on-job learners and the entomological assistants who were formerly working with the sleeping sickness control program.

3.4. General Perception of Interviewed Staff on Staffing Levels and Supervision among the Health Facilities. All the 20 health workers interviewed perceived the number of staff not enough to cover the TB work load and the frequency of supervision was said to be on a monthly basis by the majority of health workers (17/20).

3.5. Quality of the Processes of TB Service Care

3.5.1. Patient Reported Process Characteristics of TB Care at the Health Facilities. Forty-nine (12.53%) and 40 (10.23%) of the patients got to know about the existence of TB services from friends/relatives/someone who had ever used the services and from the media, respectively; 52 (13.27%) patients were not informed that they would transmit TB to others, 94 (23.98%) were not informed how to stop spreading TB to others, 55 (31.98%) patients on treatment and newly confirmed cases were not informed of the side effects of the TB drugs, 150 (87.21%) of patients who had been started on treatment and the newly confirmed were not aware of all the signs to stop TB medication, 100 (25.51%) received laboratory results after a period of 3-5 working days and 57 (33.14%) patients who tested positive for TB received their drugs after a period of 2 to 5 working days (Table 4).

3.6. Number of ZN Tests Performed by Laboratories for Suspects Captured in the Year 2010. Out of the total 1453 suspects identified in the year 2010, we had 1384 (95.3%) microscopically being assessed by the health facilities. Out of the 1384, we had 1115 (76.7%) suspects having had all the two recommended smears done. However, 271 (18.5%) suspects had only one smear done. Out of the 1453 suspects, 69 (4.7%) who were supposed to have had microscopy done on their sputum did not have it done at all (Table 5).

3.7. Challenges Which Need to Be Improved upon as Reported by Patients and Health Care Providers. Waiting times to receive services (19.13%), need for more workers (8.42%), and health talks (3.57%) are some of the key issues patients felt should be improved upon (Figure 3). The major challenges faced by the health care workers as reported by themselves were poor attitude of some health workers (mentioned 8 times), patients who default (mentioned 7 times), and fear of being infected with TB (mentioned 6 times). The other issues which providers felt should be improved upon were understaffing (mentioned 5 times), patients who do not keep appointment (mentioned 5 times), long waiting time to receive laboratory results, inadequate knowledge on TB, limited space for TB work, and fear of the CB-DOTS program not working as expected.

Note. Frequency of challenges faced by health workers is equivalent to the number of times the challenge was mentioned by the health workers.

3.8. The Levels of TB Service Care Outcomes for New Sputum Smear Positive Cases for the Year 2010. The 8 study facilities contributed 176 new smear positive TB patients to the total number detected by the district in 2010. Out of the 176, 71 (40.3%) patients completed their treatment, 69 (39.2%) were declared cured by microscopy, 1 (0.6%) was a treatment failure, 22 (12.5%) defaulted treatment, and 12 (6.8%) died (Table 6).

3.9. General Quality Performance of Kamuli District Health Facilities as Judged against Guidelines/Indicators. Facility H (Hospital) and G (Hospital) were the worst performing facilities followed by D (HCIII). The best performance facilities were C (HCIII) and B (HCIII) (Table 7).

Though we did not have data on patients' views for F (HCIV) to allow scoring of certain quality parameters like waiting time to receive laboratory results, anti-TB drugs, patients awareness on adverse effects of drugs, and advise to test for HIV, we still went ahead to score the rest of the parameters whose data was available and finally concluded on the facilities performance. For the few parameters assessed, the score was already high, so we concluded that the facility's quality of TB service care was poor.

The worst performance indicators were making sure that every suspect is tested for TB with at least one ZN test. That was followed by ensuring two ZN tests for every suspect and the number cured whose percentage was very low (Table 7).

Note. For more information on how the scores were generated and what they meant, check Table 1: performance indicators/guidelines against which quality for Kamuli district health facilities was judged.

The patients overall perception of the services together with the WHO, NTLP, International standards for tuberculosis care (ISTC), and the researchers' own set perception about the quality of services offered were used to judge the overall quality of services offered at the facilities/level of execution of the different indicators.

4. Discussion

In this cross-sectional study conducted to assess quality of TB health services in a rural district, we found that the patients were not receiving adequate information about TB from the health providers. This is evidenced by a number of patients who were not informed about the possibility of transmitting TB to others, how to stop transmitting TB, the side effects of TB drugs, and signs of side effects in order to stop TB medications. Limited information among the patients could explain the poor outcomes such as the high default and deaths rates reported in the study. Health care providers often try to supply information to patients and to motivate them and recognize the importance of behavioral skills in improving health. However, there is evidence that, in practice, health providers are constrained by time and hence they give limited information [6]. In order to solve the problem of inadequate information, the TB program could develop a standardized approach to patient health education where the health providers use structured guidelines and also provide user-friendly translated information, education, and communication (IEC) materials including visual aids to all TB patients. A systematic review showed that overall education or counseling interventions may increase successful treatment completion although the magnitude of benefit is likely to vary depending on the nature of the intervention and the setting [7].

Patient waiting time to receive services is one of the major challenges hindering TB control as evidenced by a number of patients who received laboratory results after a period ranging from three to more than five working days. The National TB Reference Laboratory standard operating Procedure states that microscopy results should be reported within 24 hours; anything beyond 24 hours is considered unacceptable.

According to the ministry of health guidelines, a patient is supposed to be started on treatment as soon as they are identified to have TB; yet the findings reveal a number of patients taking days without treatment initiation. Gulu Regional Referral Hospital project also revealed that over 50% of patients at Gulu TB Ward clinic in 2008 had a waiting time of 7 days from TB suspicion to treatment initiation [8]. Another study carried out in Botswana, on completeness and timeliness of treatment initiation after laboratory diagnosis of tuberculosis, showed that 11.8% patients had a delay in treatment initiation [9]. In Uganda and much of Africa, the TB patient load is increasing due to the underlying HIV epidemic that partly fuels the TB epidemic. Moreover, there is a shortage of skilled healthcare personnel to deliver health services leading to an overstretched health system [10, 11]. In order to improve the workflow and mitigate the waiting problems innovative ways of delivery of care such as task-shifting through training a cadre of lay health workers to perform simple tasks like collecting sputum and initial patient registration could be explored. Service care programs for HIV/AIDS have employed similar low-cost models of task-shifting and they have helped to relieve the strain on the health system [12, 13].

Adherence to recommended guidelines for smear microscopy was very low indicating poor performance almost across all health facilities. The study reveals 18.5%, and 4.7% of the TB suspects not having had a second smear and not having microscopy done at all instead of the two tests recommended by the guidelines. This highlights an important gap in the processes that could be leading to poor quality of service due to improper management of the patients and may perhaps imply lack of competence on the providers' side. Similarly, a study carried out in Botswana, on completeness and timeliness of treatment initiation after laboratory diagnosis of tuberculosis, also revealed that 10.2% patients had only one smear done [9].

Most of the TB patients on treatment had a treatment observer checking and ensuring on their daily intake of drugs, the NTLP recommends every patient to have a treatment observer. According to one of the health care workers in facility E (HCIV), the health care workers are not sure whether what they refer to as DOTS is actually working and they are not sure of whether the treatment observers are carrying out their role. Verification of such a finding using a community based study is needed for the government to be sure whether the DOTS programme is working as expected and yielding positive results. This doubt was also cited by a paper from Ethiopia, which recommended for an expanded community-based study to better guide quality DOTS programs. The number of patients declared cured is still wanting as seen from the outcome table; this actually means that patients just take medication but the issue of follow ups recommended at 2, 5, and 8 months of treatment is not being ensured by health facilities. The flow of patients and the location of the unit TB register need to be checked and organized so that no patient gets treatment without a follow-up test.

The study revealed a high proportion of treatment defaulters. This could be explained by the patients not getting adequate information about TB and a failing DOTS program. According to a qualitative study carried out in Norway on barriers and facilitators of adherence to TB treatment in patients on concomitant TB and HIV treatment, some of the barriers to treatment adherence were experiencing side effects, economic constraints, lack of food, and lack of adequate communication with health professionals among other factors [14].

All the health facilities had the basic essential requirements for TB diagnosis and treatment. This could be attributed to consistent monthly and quarterly supervisions by the district team, and a few times by the ministry of health officials as recommended by the ministry of health and presence of development and implementing partners like global fund, STAR-EC, and Plan-Uganda could also be reason for the essential requirements being in place. A study carried out on quality of tuberculosis care in Ethiopia also revealed delivery of materials, drugs, and supplies for tuberculosis control activities being fairly good [15].

All the facilities had the TB suspect register but only two were consistently using and filling the register. According to the guidelines, all the TB suspects identified in the health facility are supposed to be registered in the TB suspect register and are then sent to the laboratory for diagnosis. This could be attributed to health workers not knowing the purpose of such a register. According to the NTLP-Uganda, the suspect register provides a means of recording all symptomatic patients classified as suspects; it includes all patients who have a cough for two weeks or more. The suspect register is a useful tool to monitor sputa sent to the laboratory, for evaluating case detection and determining the prevalence of TB suspects at facility level. It is also useful for estimating supply levels needed for bacteriologic exams. The National TB and Leprosy Programme should think of evaluating the usage and filling of the suspect register in other districts before coming up with a conclusive way forward.

Our study points out to poor attitude of fellow health workers and fear of being infected with TB as some of the key challenges faced by health workers. Similarly, a cross-sectional study carried out in Ghana also pointed out that attitudes of healthcare workers towards TB patients and health staff's own fear of TB were some of the major problems hindering TB work and accelerating stigma [16]. The programme should place emphasis on participatory in-service training for health workers focusing on patient-centered continuous quality improvement, teamwork and, implementation of infection control practices. A similar approach to quality improvement was used in a TB program in Cape Town, South Africa [17].

The main limitations in our study were patients' exit interviews using a cross-sectional design; this has inherent potential for several biases such as social desirability bias and selection bias. The selection bias was minimized by sampling from different levels of health facilities and the social desirability bias was reduced by using volunteers who are not health workers to conduct the patient interviews. Since some of the results are from secondary TB program data that was not collected primarily for research, the potential for some inaccuracy cannot be ruled out. However, that was minimized by verification of data using the district TB registers, consulting the district TB leprosy focal person, and the various health facility staff met. Gaps in data due to missing information on some indicators and difficulty in accessing some registers could have compromised the quality of the record review results. Recalling accurately the presence of some items like reagents and drugs in the last one year may have compromised the study findings, but that was minimized by use of stock cards to verify the responses given. Despite the highlighted limitations, the study's greatest strength was the use of mixed methods, quantitative and qualitative methods of data collection to examine the complex aspects of quality of TB services and to provide some initial evidence that can be used to improve patient care.

5. Conclusion

The basic structural essential requirements for TB diagnosis and treatment were in place. However, the patients were not receiving adequate information about TB from the health workers, long patient waiting time to receive services at each of the levels of care, poor attitude of fellow health workers and health workers' own fear of being infected with TB, and the low percentage of cure are some of the key process issues hindering TB control in the rural setting. Comprehensive strengthening of the health system focusing on quality of support supervisions, patient follow up and promoting infection control measures and increasing health staffing levels at the health facilities are crucial.


The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Uganda National Tuberculosis and Leprosy Programme (NTLP)/National Tuberculosis Reference Laboratory (NTRL).

Conflict of Interests

None of the authors have commercial or other financial interests associated with the information presented in this paper.


The authors acknowledge the National Tuberculosis and Leprosy Programme and National Tuberculosis and Reference Laboratory where they got a lot of information concerning the subject of study. They also appreciate the assistance provided by the district tuberculosis and leprosy supervisor Mr. Mpata Samuel and the research assistants.


[1] WHO, Global Tuberculosis Control Report, 2013.

[2] A. Donabedian, "Evaluating the quality of medical care," Milbank Quarterly, vol. 83, no. 4, pp. 691-729, 2005.

[3] S. M. Campbell, M. O. Roland, and S. A. Buetow, "Defining quality of care," Social Science and Medicine, vol. 51, no. 11, pp. 1611-1625, 2000.

[4] MoH-Uganda, The Uganda TB Communication Strategy, National Tuberculosis & Leprosy control Programme & Health Promotion and Education Division, Kampala, Uganda, 2008.

[5] N. T. L. P. MoH-Uganda, Tuberculosis Case Management Desk Aide, 2007

[6] H. Waitzkin and J. D. Stoeckle, "Information control and the micropolitics of health care: summary of an ongoing research project," Social Science and Medicine, vol. 10, no. 6, pp. 263-276, 1976.

[7] J. M. M'imunya, T Kredo, and J. Volmink, "Patient education and counselling for promoting adherence to treatment for tuberculosis," Cochrane Database of Systematic Reviews, vol. 5, p. CD006591, 2012.

[8] S. R. L. Angee, B. Sheila, A. Yovention, and N. Christine, Reducing Patient Waiting Time to Initiate Tuberculosis Treatment at Gulu, Gulu Regional Referral Hospital, Makerere University College of Health Sciences, Institute of Public Health, Kampala, Uganda, 2010.

[9] T L. Creek, S. Lockman, T A. Kenyon et al., "Completeness and timeliness of treatment initiation after laboratory diagnosis of tuberculosis in Gaborone, Botswana," International Journal of Tuberculosis and Lung Disease, vol. 4, no. 10, pp. 956-961, 2000.

[10] S. Naicker, J. Plange-Rhule, R. C. Tutt, and J. B. Eastwood, "Shortage of healthcare workers in developing countries-Africa," Ethnicity & Disease, vol. 19, no. 1, supplement 1, pp. S1-S61, 2009.

[11] A. Chikanda, "Skilled health professionals' migration and its impact on health delivery in Zimbabwe," 2004.

[12] R. Zachariah, N. Ford, M. Philips, M. Massaquoi, V Janssens, and A. D. Harries, "Task shifting in HIV/AIDS: opportunities, challenges and proposed actions for sub-Saharan Africa," Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 103, no. 6, pp. 549-558, 2009.

[13] M. Callaghan, N. Ford, and H. Schneider, "A systematic review of task- shifting for HIV treatment and care in Africa," Human Resources for Health, vol. 8, no. 1, article 8, 2010.

[14] M. K. Gebremariam, G. A. Bjune, and J. C. Frich, "Barriers and facilitators of adherence to TB treatment in patients on concomitant TB and HIV treatment: a qualitative study," BMC Public Health, vol. 10, article 651, 2010.

[15] A. Girma, D. Mariam, and K. Deribe, "Quality of tuberculosis care in six health facilities of Afar Region, Ethiopia," Ethiopian Medical Journal, vol. 48, no. 3, pp. 195-202, 2010.

[16] Dodor and E. Atsu, An exploration of the causes, manifestations and consequences of tuberculosis stigma in an urban district in Ghana [Ph.D. thesis], 2009.

[17] S. Lewin, J. Dick, M. Zwarenstein, and C. J. Lombard, "Staff training and ambulatory tuberculosis treatment outcomes: a cluster randomized controlled trial in South Africa," Bulletin of the World Health Organization, vol. 83, no. 4, pp. 250-259, 2005.

Lilian Bulage, (1, 2, 3) Juliet Sekandi, (1, 4) Omar Kigenyi, (1) and Ezekiel Mupere (5)

(1) Makerere University, College of Health Sciences, School of Public Health-Kampala, Uganda

(2) National Tuberculosis and Leprosy Programme-Kampala, Uganda

(3) National Tuberculosis Reference Laboratory-Kampala, Uganda

(4) College of Public health, University of Georgia, 101 Buck Road, Athens, GA 30602, USA

(5) Department of Paediatrics & Child Health College of Health Sciences, Makerere University-Kampala, Uganda

Correspondence should be addressed to Lilian Bulage;

Received 12 March 2014; Revised 7 August 2014; Accepted 12 August 2014; Published 7 September 2014

Academic Editor: Vincent Jarlier

TABLE 1: Performance indicators/guidelines against which quality
for Kamuli district health facilities was judged.

Health facility   Actual            Source of data    Performance
expected          performance                         score
performance       level
indicators or

                        Structural performance

All health        1 = Yes           Interviewed       1 = good
workers                             health facility
participate in    2 = No            heads, TB focal   2 = poor
identification                      persons, and
of TB suspects                      in-charges ART
                  (i) 1 = 24

Waiting times     2 = > 24 hours    Interviewed       1 = good
for; (i)          (50% and above    patients
Receiving         of clients                          2 = poor
laboratory        getting results
results (ii)      after 24 hours)
Receiving         (ii) 1 =
treatment         immediate

                  2 = > 1 day

                  Process performance

Two sputum        All suspects      Reviewed          1 = 81-100% =
samples should    should have       laboratory        good
be collected      two ZN smears     register data
for diagnosis     done              for 2010          2 = 70-80% =

                                                      3 = < 70% =

The health        1 = Yes           Interviewed       1 = good
facility in                         health facility
conjunction       2 = No            heads, in-        2 = poor
with the sub-                       charges ART,
county health                       and TB focal
worker, and                         persons
should trace
all clients who
without getting
treatment, and
any other
category of

All TB suspects   Percentage of     Reviewed the      1 = 0 patients
should be         TB suspects who   laboratory        = very good
assessed using    were assessed     register and
a symptom based   by the            identified        2 = 1-3
approach          laboratory with   patients who      patients = good
                  at least one ZN   were registered
                  test              but no test       3 = 4 & >
                                    done for them     patients = poor
                                    at all

To assess and     Each TB           Reviewed the      1 = all
foster            positive          unit TB           patients = good
adherence to      patients should   treatment
treatment, a      be on community   register          2 = some
patient-          based-DOTs                          patients not
centered                                              on DOTs = poor
approach to
of drug
based on the
patient's needs
and mutual
respect between
the patient and
the provider,
should be
developed for
all patients.
Supervision and
support should
and should draw
on the full
range of
and available
counseling and

                         Process performance

HIV testing and   Every TB          Interview with    1 = all
counseling        suspect should    patients          patients = good
should be         be advised to
recommended to    test for HIV                        2 = some
all patients                                          patients not
with, or                                              advised = poor
suspected of

Each healthcare   Presence of a     Interviewed       1 = good
facility caring   system of         health facility
for patients      identifying       heads, in-        2 = poor
who have, or      coughing          charges ART,
are suspected     patients from     and TB focal
of having,        waiting areas     persons
infectious        and other
tuberculosis      places
should develop
and implement
an appropriate
control plan

                       Outcome performance

Cured             Percentage        Reviewed data     1 = 85-100% =
                  declared cured    in the            good
                                    register for      2 = less than
                                    2010              85% = poor

Treatment         Number declared   Reviewed data     1 = 0
failures          as failures       in the            patients = good
                                    register for      2 = 1or >
                                    2010              patients = poor

Defaulters        Percentage        Reviewed          1 = 0
                  defaulters, no    data in the       patients = good
                  patient should    treatment
                  default           registers         2 = 1-7
                                    for 2010          patients = fair

                                                      3 = 8 and >
                                                      patients = poor

Died              Percentage        Reviewed          1 = 0 = good
                  died, no          data in the
                  patient is        treatment         2 = 1-5
                  expected to       register for      patients = fair
                  die               2010
                                                      3 = 5 and >
                                                      patients = poor

TABLE 2: Baseline characteristics of the patients attending health
facilities in Kamuli district, March-May 2012.

Characteristic               Frequency   Percentage
                             (N = 392)

  Male                          165        42.20
  Female                        226        58.80
Type of patient
  Suspects                      220        56.12
  Newly confirmed               33          8.42
    TB cases
  TB cases on                   139        35.46
Age category
  15-24                         62         15.82
  25-34                         123        31.38
  35-44                         128        32.65
  45-80                         79         20.15
  Rural                         294         75.0
  Urban                         98          25.0
  Peasant farmer                249        63.52
  Civil servant                 26          6.63
  Business                      81         20.66
  Students                      27          6.89
  Others (1)                     9          2.30
Highest education attained
  None                          69         17.60
  Primary                       191        48.72
  Secondary                     108        27.55
  Tertiary                      24          6.12
  Catholic                      129        32.91
  Protestant                    170        43.37
  Others (2)                    93         23.72

Mean age of respondents = 35.87 SD = 11.63 min and max age was 15
and 80. (1) Housewife, cattle keeper, and driver, (2) Orthodox,
"born agains", seventh day Adventists (SDA), and Muslims.

TABLE 3: Structural and overall organizational characteristics
among health facilities in Kamuli district, March-May 2012.

Characteristic          Frequency (n = 8)   Percentage

TB desk aid
  Available                  3 *****           37.5
  Not available                 5              62.5
TB suspect register-
    used consistently
  Yes                        2 ****            25.0
  No                            6              75.0
TB request forms
  Available                     6              75.0
  Not available               2 ***            25.0
Sputum mugs
  Available                     7              87.5
  Not available                1 *             12.5
Evidence of service
    of microscope
  Available                     0              0.0
  Not available                 8              100
System of identifying
    coughing patients
  No                          1 **             12.5
  Yes                           7              87.5

* Bupadhengo HCIII, ** Nankandulo HCIV, *** Bulopa HCIII and
Bupadhengo HCIII, **** Bupadhengo HCIII and Butansi HCIII,
***** Balawoli HCIII, Kamuli General Hospital, and Kamuli Mission

TABLE 4: Patient reported process characteristics of TB care at
the health facilities in Kamuli district, March-May 2012.

Process characteristic   Frequency   Percentage
                         (N = 392)

Source of information
    about TB services
  Referred by a             294        75.19
    health worker
  Recommended by            49         12.53
    somebody who has
    ever used
  From the media            40         10.23
  Others                     8          2.05
Informed that you
    would transmit
    TB to others
  No                        52         13.27
  Yes                       340        86.73
Informed when you
    stop spreading
    TB to others
  No                        94         23.98
  Yes                       298        76.02
Informed when next to
    come back for
    TB services
  No                        64         16.33
  Yes                       328        83.67
Informed that TB
    is cured
  No                        24          6.14
  Yes                       367        93.86
Informed about side
    effects of TB
  No                        55         31.98
  Yes                       117        68.02
Aware of all the
    signs to stop
    TB medication
  No                        150        87.21
  Yes                       22         12.79
Informed about
    sputum follow-
    up tests at
    given points
  No                        12          6.98
  Yes                       160        93.02
Informed about the
    link between
    HIV and TB
  No                        24          6.12
  Yes                       368        93.88
Advised to take an
    HIV test
  No                        25          6.38
  Yes                       367        93.62
HW explained to
    you how to
    collect the
  No                        63         16.11
  Yes                       328        83.89
HWs explained
    things in a way
    you understand
  No                        16          4.08
  Yes                       376        95.92
You received all
    the necessary
    you need to know
  No                        54         13.78
  Yes                       338        86.22
Had enough time to
    discuss problems
    with HWs
  No                        110        28.06
  Yes                       282        71.94
Opinion about
    attitude of
    staff at the
    health facility
  Very good                 127        32.48
  Good                      179        45.78
  Fair                      84         21.48
  Poor                       1          0.26
Time spent to receive
    lab results after
    handing in second
  0-2 working days          270        68.88
  3-5 working days          100        25.51
  more than five            22          5.61
    working days
Treatment observer
    checking on your
    daily intake
    of drugs
  No                        23         16.55
  Yes                       116        83.45
Waiting time to see
    the health care
  Less than 1 hour          162        41.33
  1 hour to 2 hours         188        47.96
  More than two hours       42         10.71
Waiting time to
    receive anti-TB
  0-1 day                   115        66.86
  2 working days            39         22.67
  3 working days            12          6.98
  5 working days             6          3.49

Note: Only the newly confirmed TB cases and TB cases on treatment
were asked whether they had been told about the side effects of
TB drugs, and whether they knew all the signs to stop TB
medication (severe skin itching, change of eye colour, impaired
vision, and severe vomiting), and whether they had been informed
about follow up tests of TB at different points during the course
of treatment (n = 172).

Note: Only the TB cases on treatment were asked whether they had
a treatment observer checking on their daily intake of anti-TB
drugs (n = 139).

Note: Only the newly confirmed TB cases and TB cases on treatment
were asked how long they waited to receive anti-TB drugs (n =

Note: Waiting time to receive anti-TB drugs was considered from
the time of receipt of laboratory results.

Note: Waiting time to see the health care workers was considered
from the time a patient reached the facility to seeing the

TABLE 5: Number of ZN tests performed by laboratories for suspects
captured in Kamuli district health facilities for the year 2010.

Name health    Total     Total suspects   Total suspects
facility      suspects    assessed by     with 2 smears
                            the lab            done

A (HCIII)        20            17               13
B (HCIII)        44            44               43
C (HCIII)        68            64               55
D (HCIII)        94            93               80
E (HCIV)        202           201              167
F (HCIV)         48            42               38
G (Hosp)        354           351              289
H (Hosp)        623           572              430
Total (%)       1453      1384 (95.3)      1115 (76.7)

Name health   Total suspects   Suspects with
facility      with 1 smear     no smear done
                   done           at all

A (HCIII)           4                3
B (HCIII)           1                0
C (HCIII)           9                4
D (HCIII)           13               1
E (HCIV)            34               1
F (HCIV)            4                6
G (Hosp)            62               3
H (Hosp)           142              51
Total (%)       269 (18.5)       69 (4.7)

TABLE 6: Outcomes of TB service care for new sputum smear
positive cases in Kamuli district health facilities for the year

Name of        Number of smear     Number     Number on   Number on
health            positives      started on    F-DOTS      CB-DOTS
facility         identified      treatment
                   in 2010

A (HCIII)            01              01          --          --
B (HCIII)            03              03          --          03
C (HCIII)            08              08          --          08
D (HCIII)            13              13          --          11
E (HCIV)             18              18          01          17
F (HCIV)             02              02          --          01
G (Hospital)         72              72          19          21
H (Hospital)         59              59          --          09
Total (%)            176            176       20 (11.4)    70 (40)

Name of        Completed     Cured     Treatment   Defaulted     Died
health         treatment               failures    treatment

A (HCIII)         01          --          --          --          --
B (HCIII)         01          02          --          --          --
C (HCIII)         03          04          --          01          --
D (HCIII)         09          03          --          --          01
E (HCIV)          08          06          --          02          02
F (HCIV)          02          --          --          --          --
G (Hospital)      28          030         --          11          03
H (Hospital)      19          024         01          08          06
Total (%)      71 (40.3)   69 (39.2)    1 (0.6)    22 (12.5)   12 (6.8)

F-DOTS-facility-directly observed therapy-short course, CB-DOTS-
community based-directly observed therapy-short course.

TABLE 7: General quality performance of Kamuli district health
facilities as judged against guidelines/indicators.

Health         A    B    C    D    E   F   G    H    I    J    K   L

H (Hospital)   2    1    2    2    1   1   3    2    2    2    1   2
G (Hospital)   2    1    2    2    1   1   2    2    3    1    1   2
F (HCIV)       2    --   --   2    2   2   3    2    --   --   2   2
E (HCIV)       1    1    1    2    1   1   2    1    3    1    1   2
D (HCIII)      2    2    1    2    1   1   3    2    1    1    1   2
C (HCIII)      2    1    1    2    1   1   2    1    2    1    1   2
B (HCIII)      2    1    1    2    1   1   1    1    3    1    1   2
A (HCIII)      2    1    1    2    1   1   2    2    2    1    1   2
Total score    15   8    9    16   9   9   18   13   16   8    9   16

Health         M   N    O    Total
facility                     score

H (Hospital)   2   3    3     28
G (Hospital)   1   3    2     26
F (HCIV)       1   1    1     20
E (HCIV)       1   2    2     22
D (HCIII)      1   2    2     24
C (HCIII)      1   1    1     20
B (HCIII)      1   1    1     20
A (HCIII)      1   1    1     21
Total score    9   14   13

Note: for both the health facilities and guidelines, least
performance score implied good quality services while the
greatest score implied poor quality services offered by a


a-every staff participates on identification of tuberculosis
cases, B-waiting to receive laboratory result, C-waiting time to
receive treatment, D-two ZN tests done for every suspect, E-
system of identifying coughing clients from waiting, areas, and
other places, F-system of tracing lost clients, G-assessing every
patient with at least one test, H-is every TB client on DOTs?
I-TB patients aware of adverse effects-side effects of TB drugs,
J-every suspect advised to test, for HIV, K-cases notified,
L-number of patients cured, M-number of treatment failures,
N-number of patients who defaulted, O-number of patients who died.

Figure 3: Challenges which need to be improved upon as reported
by patients in Kamuli district health facilities, March-May 2012.
Note: others included: need for food, wheel chairs, out-patient
department needs improvement, improve on the infrastructure, and
reduce the quantity of drugs.

Nothing                                 57.4
Waiting time services                   19.13
More health workers are needed          8.42
Others                                  5.87
More health talks are needed            3.57
Constant supply/availability of drugs   2.3
Poor attitude of health workers         1.79
Counseling place is bad                 1.53

Note: Table made from bar graph.
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Article Details
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Title Annotation:Research Article
Author:Bulage, Lilian; Sekandi, Juliet; Kigenyi, Omar; Mupere, Ezekiel
Publication:Tuberculosis Research and Treatment
Article Type:Report
Date:Jan 1, 2014
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