Factors influencing length of hospital stay during the intensive phase of multidrug resistant tuberculosis treatment at Amhara Regional State hospitals, Ethiopia: retrospective follow up study

DOI: https://doi.org/10.21203/rs.3.rs-15610/v1

Abstract

Background: Tuberculosis (TB) generally considered as an ambulatory disease. However, hospitalization remains an important component for isolation and medical stabilization of patients. Hence, this study aimed to identify factors influencing the length of hospital stay during the intensive phase of multidrug resistant tuberculosis treatment at Amhara Regional State hospitals, Ethiopia: retrospective follow up study.

Methods: An institution based retrospective follow up study was conducted at three hospitals, namely the University of Gondar comprehensive specialized, Borumeda and Debremarkos referral from September 2010 to December 2016 (n=465). Data were extracted from hospital admission/discharge logbooks and individual patient medical charts. Logistic regression was used to identify factors associated with longer hospital stays during the intensive phase of multidrug resistant tuberculosis treatment.

Result: Most patients (92.5%) had a pulmonary form of multidrug resistant tuberculosis and a quarter of them HIV co-infections. The median length of hospital stay was 61 (interquartile range 34 to 101) days. The pulmonary form of tuberculosis (Adjusted odds ratio [AOR], 3.20, 95% confidence interval [CI]; 1.28 to 7.96), treated at the University of Gondar (AOR= 2.11, 95%CI; 1.02 to 4.41) and  Borumeda Hospital (AOR= 3.59, 95%CI; 1.67 to 7.72), functional status of  ambulatory (AOR=2.25, 95% CI; 1.19 to 4.27) and bedridden (AOR= 3.39, 95%CI; 1.57 to 7.35), and reported adverse drug reactions (AOR=2.54, 95%CI; 1.60 to 4.02) were significant predictors of extended hospital stays.

Conclusion: The study revealed that longer hospital stay and significant differences were observed among hospitals. Decreased functional status at admission, pulmonary form of tuberculosis and reported adverse drug reactions were determinants of longer hospital stays. This underscores the importance of early case detection and prompt treatment of adverse effects.

Introduction

Tuberculosis is the leading cause of mortality and morbidity and an increased concern of global health [1-3]. The emergence of drug resistant strains of Mycobacterium tuberculosis further complicated tuberculosis treatment and control efforts worldwide [4]. According to the 2016 World Health Organization (WHO) report, there were about 600,000 multi-drug resistant tuberculosis (MDRTB) cases and 250,000 MDRTB related deaths each year globally [5]. Thirty high burden countries carry more than 85% of the world's drug resistant tuberculosis (DRTB) cases [5]. Ethiopia is the third high burden country in Africa with an estimated 2100 cases annually [6].

Despite the recent short regimen approval for drug resistance tuberculosis treatment, the standard treatment took two or more years [7]. The intensive phase, the first 8-12 months, is the period in which patients suffer from critical disease conditions and drug side effects. Moreover, patient infectiousness, safety, tolerability, and adverse effects of second line anti-TB drug led to more frequent hospitalizations during this phase of the  treatment [8, 9].

The length of hospital stay (LOS) is one of the health care system metrics for measuring the duration of hospitalization. The LOS reflects disease severity, health care efficiency, resource consumption, and health care facility policy for patient admission and discharge [10]. Globally, the reported median length of hospital stay was 90 days in high burden countries [11]. African countries are characterized by a high burden of drug resistance tuberculosis and inefficient and inadequate health care facilities for the treatment of the disease. Findings from South Africa showed a LOS median of 144 days [12] and those Nigeria 135 days [7]. Patient functional status, co-morbidities, extensive lung damage, and adverse drug reactions were determinants of the length of hospital stay in the course of MDRTB treatment [2, 12-16].

Concerning health facility availability and efficiency, WHO recommends a conditional ambulatory model of care in the standard treatment of drug resistant tuberculosis [17, 18]. Although  Ethiopia is one of the high MDRTB burden countries,  there have been only limited health facilities providing MDRTB treatments with scarce evidences on LOS and its determinants during  treatment. 

Therefore, this study aimed to determine the length of hospital stay and its predictors during the intensive phase of MDRTB treatment. The study could be of paramount importance to clinicians and hospital administrators for a more efficient planning of tuberculosis treatment programs and resource allocations.

Materials And Methods

Study design, area and period

An institution-based retrospective study was conducted at the University of Gondar comprehensive specialized and Borumeda and Debremarkos referral hospitals from September 2016 to December 2016. In Amhara region, there are nine drug resistant tuberculosis treatment initiating centers. Three hospitals, namely the University of Gondar comprehensive specialized and Borumeda and Debremarkos referral hospitals were selected out of the nine treatment initiating centers. The hospitals were selected because they were located in the main cities of the region and covered more than 85% of the services. Besides, the hospitals had large and organized MDRTB treatment data for a long period of time. The remaining six centers included recently were located in the districts with a major purpose of supporting the three main TICs mentioned above as referrals for outpatient follow ups and enhancing the accessibility of services.  All treatment centers used the same standardized multi-drug resistant tuberculosis regimen with no individualized regimen because resistance patterns were not understood for all ant-TB drugs.

Population and sample

Patients who were admitted and discharged from the selected hospitals during the intensive phase of MDRTB treatment were the study population. The ingle population proportion with the assumption of 50%  longer hospital stay, 5% level of precision, and 10% non-response rate was used to determine the final sample of 422. A total of 490 multidrug resistant tuberculosis patients were enrolled for DRTB treatment in the three hospitals from September 2010 to December 2016, and 465 patients who fulfilled the inclusion criteria took part. Twenty five patients were excluded owing to incomplete data, death during treatment and transfer before completing the intensive phase.

Data collection procedures

Data available on patient records were examined and the appropriate extraction format was prepared in English. Six data collectors and supervisors (nurses and health officers) were recruited. A two day training was given on research objectives and on how to review documents as per the data extraction format before the process. Prior to data collection, records were identified by their medical registration numbers. The trained collectors reviewed and extracted data from patient charts and hospital admission/discharge logbooks using the check lists.

Variables of the study

The dependent variable was length of hospital stay in days from the date of admission to discharge. LOS refers to the duration of stay in days from the date of admission to the date of discharge under the intensive phase of MDRTB treatment with zero days of stay for a patient with less than 24 hours of ward stay. When the patient stays admitted for more than a median cut off point, LOS ≥61 days, whereas socio-demographic characteristics (sex, age, residence ,housing condition, educational status, marital status), behavioral factors (smoking, alcohol use, khat chewing), and clinical characteristics (HIV co-infection, registration group, form of TB, type of resistance, chronic diseases, clinical complications, radiological findings, treatment delay, base line BMI, and functional status were the independent variables.

Multidrug resistant tuberculosis is defined as tuberculosis that is resistant to the first-line drugs isoniazid and rifampicin, or when an individual is resistant only to rifampicin and treated as multi-drug resistant. A previously treated case was defined as a patient who was treated for TB for one month or more. A patient who had less than <18.5 kg/m2 body mass index was classified as underweight, whereas a patient who had ≥18.5kg/m2 body mass index was classified as normal BMI. Treatment initiating centers (TIC) are health facilities selected by the TB program to provide patient care and treatment services from the time of DRTB diagnosis and throughout the course of treatment with SLDs.

Data analysis

Data were entered in to EPI info version 7 and analyzed using Stata version 14 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP). Descriptive statistics, such as percentages and medians with interquartile rage (IQR) were used to summarize categorical and continuous variables, respectively.

Based on their LOS, patients were dichotomized using the median value, <61 days (0) vs. 61 or more (1). Logistic regression was used to identify factors associated with longer (61 or more days of hospital stay) during the intensive phase of MDRTB treatment. Odds ratio (OR) with 95% confidence intervals (CI) was computed to assess the associations between socio-demographic and clinical factors and the LOS.

Ethical approval and consent to participate

Ethical clearance was obtained from the Institutional Review Board of the Institute of Public Health, College of Medicine and Health Sciences, the University of Gondar (Ref/no- IPH/2493).  Letter of permission was obtained from the Amhara Regional State Health Bureau for Borumeda and Debremarkos referral hospitals (Ref/no H/R/T/T1/638/09).

Result

Baseline socio-demographic characteristics

A total of 465 patients were included in the final analysis. Most of the patients (61.1%) had follow ups at the University of Gondar comprehensive specialized hospital, followed by Borumeda (28.2%) and the rest at Debremarkos.

More than half (58%) of the patients were male with the median age at initiation of treatment of 28(IQR, 22 to 38 years), and 60.8% of them were aged between 15 and 34 years. Of the participants, 43.2% and 34.4% were married and single, respectively; 58% had some primary and above educational status, while rural dwellers constituted 52% of the respondents.  As far as substance use was concerned, 18.9%, 12.9%, and 8.6% drunk alcohol, smoked cigarettes, and chewed khat, respectively (Table 1).

Clinical characteristics

The pulmonary form of MDRTB accounted for 92.5% while the rest were extra pulmonary forms. One-fourth (25.4%) of the MDRTB patients 94% of whom were on ART had HIV co-infections. One or more medical co-morbidities reported, involved 9.2% of the participants of whom 2.58% had diabetes mellitus. One or more radiological abnormalities were seen in 72% of the patients. The most common radiological findings included 42.2% cavitation, 28.6% infiltration, and 24.5% chronic changes, like fibrosis. Out of the total patients, 72% had one and above adverse drug reactions with gastro-intestinal upset, (81.5%) and electrolyte disturbance (33.6%), the most common side effects (Table 2).

Tuberculosis diagnosis and treatment characteristics 

Most patients (89.5%) had one or more previous TB treatment history, one patient for a maximum of seven times. Line probe assay (LPA) (45.6%) and Gene Xpert (46.7%) were the most commonly used diagnostic methods for confirmation of drug resistance TB. In relation to TB resistance pattern, 96.3% of the patients had confirmatory drug resistance test results, 96% resistant to Rifampicin and 45.6% to Isoniazid. In addition, 8.3% of the patients were resistant to all first line anti-TB drugs. Seventy percent of the patients were initiated second line anti-TB treatment within 30 days of diagnosis. The median follow up time for the intensive phase was 8.4 (IQR, 7.97 to 8.93 months). The time to sputum culture conversion among pulmonary TB victims was a median of 2 (IQR, 1 to 3 months) (Table 3).

Length of in-hospital stay (LOS)

The median length of hospital stay during the intensive phase of MDRTB treatment was 61 (IQR, 34 to101 days) with the mean (SD) of 78.3 (±66.6) days. The median length of hospital stay for each treatment center at the University of Gondar hospital was 59.5 (IQR, 34 to 100 days), Borumeda 72 (IQR, 47 to 111 days), and Debremarkos referral hospital 39.5 (IQR, 24 to76 days). Two hundred thirty-six (50.7%) patients with a 95%CI (46.1 to 55.3) were hospitalized for longer than 61 days during the intensive the phase of the MDRTB treatment. Only 37 (7.9%) stayed hospitalized for over 6 months. The median length of hospital stay overtime is shown in (Fig. 1).

Predictors of longer in-hospital stay

In the bi-variable binary logistic regression, age, housing condition, occupation, pulmonary form of multidrug resistant tuberculosis, adverse drug effects, registration group, functional status at admission, and treatment initiating centers (hospitals) were significant at a P-value of 0.2.

In the multivariable regression analysis, functional status at admission, adverse drug reactions, pulmonary form of TB, and treatment initiating centers (hospitals) were significantly associated with longer hospital stay at a P value of 0.05. Patients who had Functional status of ambulatory (AOR=2.25, 95%CI: 1.19 - 4.27) and bedridden (AOR=3.39, 95%CI: 1.57 7.35) functional status at admission had longer hospital stay compared to those who had working functional status. Patents who had pulmonary form of MDRTB were associated with longer hospital stay compared to extra pulmonary cases (AOR=3.20, 95%CI: 1.28 7.96). Similarly, treatment initiating centers the University of Gondar (AOR=2.11, 95%CI: 1.02 4.41) and Borumeda (AOR=3.59, 95%CI: 1.67, 7.71) showed significant differences in LOS compared to Debremarkos. Patients who had reports of adverse drug reaction were more likely to have longer hospital stays compared to those who didn’t have such reaction (AOR=2.54, 95%CI: 1.60, 4.02) (Table 4).

Discussion

In this study, the median length of hospital stay was 61 (IQR, 34 to 101) days. Low functional status, pulmonary form of MDRTB and adverse drug reaction were factors associated with longer hospital stays. Besides, significant LOS differences were also observed among treatment initiating centers.

The median length of hospital stay in this work was shorter than the WHO 2014 global TB report of 90 days [11], South Africa centralized hospital of 144 days [12], South Africa community based sites  of 143 days[12], and Canada Ontario  of 82 days [19]. This might be due to differences in health care system, the magnitude of drug resistant tuberculosis, including XDRTB cases and co-morbidities, like HIV. However, the median length of hospital stay of this attempt was longer than that of a study conducted in San Francisco (14 days)[8]. The possible reasons might be differences in treatment approaches. In the San Francisco study, MDRTB treatment was provided through outpatient follow ups, which decreased the length of hospital stays in the course of treatments.

Length of hospital stay was significantly different among treatment initiating center, ranging from 39.5 days at Debremarkos referral hospital to 72 days at Bourmeda. Thus, for patients who were treated at the University of Gondar comprehensive specialized hospital and Borumeda, the odds of longer hospital stay were 2.11 and 3.59 times higher compared to Debremarkos, respectively. This might be due to differences in professional expertise among hospitals. In addition, there is no clear criteria for MDRTB patient discharge from hospitals. This might leads to difference in the length of stays owing to delays of discharge. Similarly, LOS was documented different by overtime. As Figure 1 shows, the median length of hospital say was differed from a median 94 days in 2012 to a median of 60 days in 2015. This might be due to increases DRTB treatment initiation centers and the use of new treatment approaches,   like the ambulatory model of care for outpatient follow up. The introduction of the new diagnostic method, like Gene Xpert, plays a vital role in early case detection and rapid result turnaround time for patients admitted and stayed on treatment empirically which might contribute for cutting LOS.  

For patients who had ambulatory and bedridden functional status at admission, the odds of longer hospital stay were 2.25 and 3.39 times higher compared to patients who had working functional status at admission, respectively. This may be due to the fact that patients with debilitated clinical conditions and altered functional status might have delayed clinical and treatment responses. Also, patients with low functional status have co–morbidities, like HIV co-infection, which cause advanced diseases which require longer physician monitoring[10]. Hence, patients may not be fit for outpatient follow up which leads to longer hospital stays.

Second line anti-TB drugs are more toxic and less effective; patients reported to have one or more adverse drug effects were two times more likely to stay longer at hospitals compared to those free form adverse drug effects. This finding is in line with those of studies conducted in Iran and Uzbekistan [20, 21]. Some of the adverse drug effects are life-threatening and occult to detect; hence, more frequent and close follow up is mandatory for early detection and treatment. This in fact contribute to longer hospital stays of MDRTB patients.

The pulmonary form of drug resistant tuberculosis has been a more serious public health concern than other forms of TB. One of the objective of hospitalization in the course of MDRTB treatment was the isolation of patients for a period of infectiousness. Patients who had the pulmonary form of MDRTB were three times more likely to stay longer in-hospitals stay than the extra pulmonary form of MDRTB victims. In addition, the number of pulmonary drug resistant tuberculosis patients outweighed the extra pulmonary DRTB cases, contributing to the observed variation in the length of hospital stays. The purpose of admissions during the intensive phase of drug resistant tuberculosis treatment is a stabilization and close monitoring of patients for life-threatening Side effects. Moreover, the admissions of tuberculosis patients during the infectiousness period are highly important for isolation, especially for patients who come from congregated settings, such as university dormitories, prisons and refugee camps where the risk of transmission is high.

Before the revision of DR-TB treatment protocol, smear and culture positive pulmonary drug resistant tuberculosis patients stayed admitted until their sputum result was converted to negative, perhaps contributing to longer hospital stays of pulmonary form of TB sufferers.

Conclusion

This study noted that treatment initiating centers significantly differed in terms of maintain patients in wards. Decreased functional status at admission, pulmonary form of tuberculosis reported adverse drug side effects were determinants of longer hospital stays. This underscores the importance of early case detection and prompt treatment of adverse effects.

Limitations of the Study

Since data from this retrospective review were collected from secondary sources, some important predictors, like adherence and health facility characteristics, which had significant associations with the length of hospital stays in other studies were missing in the treatment of patients at the centers.  There is no discharge criteria for inpatient management of DRTB and standard cut off point for the length of hospital stay and might introduce misclassification of participants.

Abbreviations

ADR: Adverse Drug Reaction , ART: Anti Retro viral Therapy, BMI: Body ,Mass Index, DRTB: Drug Resistance Tuberculosis, DST: Drug Susceptibility Test, FLD: First Line Drug, GHC: Global Health Committee, HIV: Human Immune deficiency  Virus, IQR: Inter Quartile Range, IRR: Incidence Rate Ratio, LOS: Length Of hospital Stay, LPA: Line Probe Assay, MDRTB: Multi Drug Resistance Tuberculosis, MTB/RIF: Mycobacterium Tubercle Bacilli/Refampicine, SLD: Second Line Drug, TB: Tuberculosis, TIC: Treatment Initiating Center, WHO: World Health Organization, XDRTB: Extensive Drug Resistance Tuberculosis

Declarations

Acknowledgements

We are thankful to data collectors, supervisors, and radiographers, hospital administrators of the University of Gondar Comprehensive Specialized Hospital, Borumeda Hospital, and Debremarkos Referral hospitals.

Competing interests

The authors declare that they have no competing interests

Availability of data and material

Data is available from the corresponding author upon request. Because the data contains sensitive issues in the data set.

Authors' contributions

KST, GA, and YAB participated to design the study, performed data analysis, visualization, validation the whole work and prepared the manuscript. KST took part in funding acquisition, data collection, supervision and software and other resources. All authors read and approved the final manuscript.

Funding

The study was funded by University of Gondar, Ethiopia. The funder has no role in study design, data collection and analysis, interpretation of data, decision to publish, or preparation of the manuscript.

References

  1. Organization, W.H., Global tuberculosis report 2015. 2015: World Health Organization.
  2. Kendall, E.A., et al., Alcohol, hospital discharge, and socioeconomic risk factors for default from multidrug resistant tuberculosis treatment in rural South Africa: a retrospective cohort study. PLoS One, 2013. 8(12): p. e83480.
  3. Rieu, R., et al., Time to detection in liquid culture of sputum in pulmonary MDR-TB does not predict culture conversion for early discharge. Journal of Antimicrobial Chemotherapy, 2015: p. dkv407.
  4. Gandhi, N.R., et al., Nosocomial transmission of extensively drug-resistant tuberculosis in a rural hospital in South Africa. Journal of Infectious Diseases, 2013. 207(1): p. 9-17.
  5. Organization, W.H., Global tuberculosis report 2016. 2016.
  6. Eshetu Lemma1, P., et al., Second Round Anti-tuberculosis Drug Resistance Surveillance in Ethiopia 2014, ETHIOPIAN PUBLIC HEALTH INSTITUTE.
  7. Oladimeji, O., et al., Psychosocial wellbeing of patients with multidrug resistant tuberculosis voluntarily confined to long-term hospitalisation in Nigeria. BMJ Global Health, 2016. 1(3): p. e000006.
  8. Burgos, M., et al., Treatment of multidrug-resistant tuberculosis in San Francisco: an outpatient-based approach. Clinical Infectious Diseases, 2005. 40(7): p. 968-975.
  9. FMOH, GUIDELINES FOR PROGRAMA AND CLINICAL MANAGEMENT OF DRUG RESISTANCE TUBERCULOSIS. 2009.
  10. Hasan, O., et al., Hospital readmission in general medicine patients: a prediction model. Journal of general internal medicine, 2010. 25(3): p. 211-219.
  11. Zumla, A., et al., The WHO 2014 global tuberculosis report—further to go. The Lancet Global Health, 2015. 3(1): p. e10-e12.
  12. Loveday, M., et al., Community-based care vs. centralised hospitalisation for MDR-TB patients, KwaZulu-Natal, South Africa. The International Journal of Tuberculosis and Lung Disease, 2015. 19(2): p. 163-171.
  13. Marks, S., et al., Characteristics and costs of multidrug-resistant tuberculosis in-patient care in the United States, 2005–2007. The International Journal of Tuberculosis and Lung Disease, 2016. 20(4): p. 435-441.
  14. O'Donnell, M.R., et al., High incidence of hospital admissions with multidrug-resistant and extensively drug-resistant tuberculosis among South African health care workers. Annals of internal medicine, 2010. 153(8): p. 516-522.
  15. Oladimeji, O., et al., Intensive-phase treatment outcomes among hospitalized multidrug-resistant tuberculosis patients: results from a nationwide cohort in Nigeria. PloS one, 2014. 9(4): p. e94393.
  16. Ronald, L.A., et al., Predictors of hospitalization of tuberculosis patients in Montreal, Canada: a retrospective cohort study. BMC Infectious Diseases, 2016. 16(1): p. 679.
  17. Brust, J.C., et al., Integrated, home-based treatment for MDR-TB and HIV in rural South Africa: an alternate model of care [Perspectives]. The international journal of tuberculosis and lung disease, 2012. 16(8): p. 998-1004.
  18. FMOH, Guide for Ambulatory care of Multi Drug Resistance Tuberculosis in Ethiopia. 2011.
  19. Villar, M., et al., Linezolid safety, tolerability and efficacy to treat multidrug-and extensively drug-resistant tuberculosis. European Respiratory Journal, 2011. 38(3): p. 730-733.
  20. Kalandarova, L., et al., Treatment outcomes and adverse reactions in patients with multidrug-resistant tuberculosis managed by ambulatory or hospitalized care from 2010–2011 in Tashkent, Uzbekistan. Public Heal Panor, 2016. 2: p. 21-9.
  21. Mirsaeidi, S.M., et al., Treatment of multiple drug-resistant tuberculosis (MDR-TB) in Iran. International journal of infectious diseases, 2005. 9(6): p. 317-322.

Tables

Table 1: Baseline socio demographic characteristics of drug resistant tuberculosis patients in Amhara regional State Drug Resistant TB Treatment Initiating Center, Ethiopia, September 2010 to December 2016 (n=465)

Characteristics 

Category 

Frequency (%)

 

Age in years 

<15 

17 (3.6)

 15-24 

138(29.7)

 25-34 

145(31.2)

 35-44 

89(19.1)

 ≥45 

76(16.4)

Religion

Orthodox

374(80.4)

Muslim

85(18.3)

Protestant 

6(1.3)

Educational status 

No formal education

195(41.9)

Primary school

145(31.2)

Secondary school

81(17.4)

Diploma and above  

44(9.5)

Place of residence

Urban 

223(47.9)

Rural 

242(52.1)

Housing condition

Homeless

20(4.3)

Had housing

445(95.7)

Occupation

Unemployed 

188(40.4)

Government employed

41(8.8)

Private 

199(42.8)

Students

37(8)

 

Table 2: Clinical characteristics of multi-drug resistant tuberculosis patients in Amhara Region Drug Resistant TB Treatment Initiating Center; Ethiopia September 2010 to December 2016(n=465)

Characteristics 

Category 

Frequency (%) 

HIV confection 

Yes 

118(25.3)

No 

     344(73.9)

Unknown 

3(0.6)

Functional status  at admission

Working 

62(13.3)

Ambulatory 

320(68.8)

Bed ridden 

83(17.9)

Body mass index(BMI) baseline

Low 

315(67.7)

Normal

129(28.8)

Overweight 

4(0.9)

Base line Hgb in g/dl

<7g/dl

12(3.1)

7-9.9

51(10.9)

10-12.9

154(33.1)

>=13

162(34.8)

Unknown 

86(18.2)

Chronic medical illness

No 

422(90.7)

Yes  

43(9.3)

Adverse drug reactions(ADR)

Yes

330(72.0)

No 

135(28.0)

Drug side effects (n=330)

 

Gastro-intestinal upset  

269(81.5)

Hypokalemia 

111(33.6)

Nephrotoxicity 

23(6.9)

 Psychosis

38(11.5)

Arthralgia 

63(13.5)

Neuropathy 

15(4.5)

Ototoxicity

10(3.1)

Others 

15(4.5)

Radiological findings 

Cavitation

196(42.2)

Infiltrations 

133(28.6)

Consolidations

79(16.9)

Chronic changes

114(24.5)

Others* 

59(12.7)

       

* Other= Effusion & Hilar LAP, dl: Dec litter, Hgb: Hemoglobin 

 

Table 3: Drug resistance tuberculosis diagnosis and treatment characterstsics of MDRTB patients in Amahara Region Treatment Initiating Center,Ethiopia, September 2010 to December 2016 (n=465)

Characteristics 

Category 

Frequency (%) 

Diagnostic methods 

Gene Xpert

212(45.6)

LPA

167(35.9)

Culture and DST

69(14.8)

Clinically 

17(3.7)

Model of treatment initiation

Hospitalized

441(94.8)

Ambulatory

24(5.2)

Baseline culture result(n=430)

Positive 

378(87.9)

Negative 

20(4.7)

Unknown 

32(7.4)

Treatment supporter

Yes 

396(85.2)

No 

69(14.8)

Registration group

New 

59(12.6)

Previously treated 

406(87.4)

MDRTB regimen modified 

Yes 

9(1.9)

No

456(98.1)

DST: Drug Susceptibility Test, LPA: Line Probe Assay, MDRTB: Multi Drug Resistance Tuberculosis, MTB/RIF: Mycobacterium Tubercle Bacilli/Rifampicin.

Table 4: Bi variable and multivariable logistic regression analysis to identify predictors of  longer in-hospital stay during the intensive phase of MDRTB treatment in Amahara Region Treatment Initiating Center,Ethiopia,September 2010 to December 2016 (n=465)

Characteristics     

Longer hospital stay

Crude OR

(95%CI)

Adjusted OR

(95%CI)

Yes      

No 

Age 

 

 

 

 

≤24

72

83

1

1

25-34

77

68

1.30(0.82  2.05)

1.02(0.61  1.71)

35-44

47

42

1.29(0.76  2.17)

1.08(0.60  1.97)

>45

40

36

1.28(0.73  2.21)

1.04(0.56  1.95)

Hospitals 

 

 

 

 

Deber markos

14

36

1

1

Gondar university 

141

143

2.53(1.31  4.90)

2.11(1.02  4.41)*

Boru Meda 

81

50

4.16(2.04  8.45)

3.59(1.67  7.72)*

Occupation 

 

 

 

 

Unemployed 

91

97

1

1

Government employed 

15

26

0.61(0.30  1.23)

0.56(0.26  1.19)

Private 

106

93

1.21(0.81  1.81)

1.16(0.73  1.85)

Daily laborer 

24

13

1.96(0.94  4.09)

1.49(0.67  3.29)

Forms of TB 

 

 

 

 

Pulmonary 

229

201

4.55(1.94   10.65)

3.20(1.28  7.96)*

Extra pulmonary 

7

28

1

1

Drug side effects 

 

 

 

 

No                 

87

48

1

1

Yes 

188

142

2.39(1.58  3.63)

2.54(1.60  4.02)*

Registration group

 

 

 

 

New 

25

34

1

1

Previously treated 

211

195

1.47(0.84  2.55)

1.29(0.68  2.42)

Functional status 

 

 

 

 

Working 

18

44

1

1

Ambulatory

164

156

2.56(1.42   4.63)

2.25(1.19  4.27)*

Bedridden 

54

29

4.55(2.37  9.25)

3.39(1.57  7.35)*

Homeless

 

 

 

 

Yes 

14

6

2.34(0.88  6.20)

2.33(0.76  7.14)

No 

222

223

1

1

* Show statistical significance of p-value ≤0.05, CI: Confidence Interval, OR: Odds Ratio, TB: Tuberculosis.