Skip to main content

Advertisement

Predictors of hospitalization of tuberculosis patients in Montreal, Canada: a retrospective cohort study

Abstract

Background

Hospitalization is the most costly health system component of tuberculosis (TB) control programs. Our objectives were to identify how frequently patients are hospitalized, and the factors associated with hospitalizations and length-of-stay (LOS) of TB patients in a large Canadian city.

Methods

We extracted data from the Montreal TB Resource database, a retrospective cohort of all active TB cases reported to the Montreal Public Health Department between January 1996 and May 2007. Data included patient demographics, clinical characteristics, and dates of treatment and hospitalization. Predictors of hospitalization and LOS were estimated using logistic regression and Cox proportional hazards regression, respectively.

Results

There were 1852 active TB patients. Of these, 51% were hospitalized initially during the period of diagnosis and/or treatment initiation (median LOS 17.5 days), and 9.0% hospitalized later during treatment (median LOS 13 days). In adjusted models, patients were more likely to be hospitalized initially if they were children, had co-morbidities, smear-positive symptomatic pulmonary TB, cavitary or miliary TB, and multi- or poly-TB drug resistance. Factors predictive of longer initial LOS included having HIV, renal disease, symptomatic pulmonary smear-positive TB, multi- or poly-TB drug resistance, and being in a teaching hospital.

Conclusions

We found a high hospitalization rate during diagnosis and treatment of patients with TB. Diagnostic delay due to low index of suspicion may result in patients presenting with more severe disease at the time of diagnosis. Earlier identification and treatment, through interventions to increase TB awareness and more targeted prevention programs, might reduce costly TB-related hospital use.

Background

Tuberculosis (TB) is generally considered an ambulatory disease [1], however, hospitalization remains an important part of management [2, 3]. Benefits of hospitalization include isolation of infectious patients, and medical stabilization of patients with or at-risk of complications of the disease or therapy [1]. For patients who are homeless or living in group settings, have psychiatric or substance abuse issues, or have difficulties with activities of daily living, extended inpatient treatment may be used to ensure completion of treatment [4, 5].

However, hospitalization increases risk of nosocomial transmission to health care workers and other vulnerable patients [6]. Inpatient diagnostic delays can increase transmission risk in this vulnerable population [7, 8]. TB hospitalizations can lead to psychological difficulties for patients due to isolation and detention [1]. Lastly, there are cost implications [2, 9, 10]—hospitalizations are generally the largest health system cost component of TB case management, often accounting for more than 50% of total treatment costs [1115].

Better understanding of which patients are hospitalized during the diagnostic and management phases of TB can help policy-makers and clinicians more efficiently plan treatment programs and resource needs. Therefore, the objectives of the current study were to identify how frequently patients were hospitalized, and what factors were associated with hospitalization and length of hospital stay during diagnosis and treatment of active TB patients in a large Canadian city, using patient-level clinical and demographic data from a clinical research database.

Methods

Data source and study population

A retrospective cohort was identified of all individuals with confirmed TB, and notified to Montreal Public Health between January 1996 and May 2007. Given the mandatory legal requirement to report all TB cases, this is virtually a complete capture of all persons diagnosed with microbiologically or clinically confirmed TB in Montreal (covering a catchment of approximately two million people). Further, approximately two-thirds of TB cases in Quebec are reported in Montreal [16], thus the database includes the majority of TB cases in the province for those years. Detailed information regarding patients’ clinical status, treatment, and hospitalization history for Montreal Island hospitals was extracted from public health charts and from medical charts at treating hospitals and clinics for each case. Data extraction was performed by trained research assistants using standardized data extraction forms. Ethical approval for this study was obtained through the McGill University Health Centre Research Ethics Board.

Outcome and predictor variables

The main outcomes were whether or not the individual had a TB-related hospitalization and the length of stay (LOS) for the hospitalizations. Hospitalizations were defined as admissions to an acute care hospital on the Island of Montreal, and excluded emergency department visits of less than 24 h, hospital day clinics, and day surgeries. Hospital transfers were defined as when a discharge and a new admission date were on the same or next day. When a transfer was identified, these were counted as one continuous hospitalization. LOS was calculated for each continuous hospitalization as the difference between date of discharge (or in-hospital death) and admission date. We excluded hospitalizations missing admission or discharge dates (n = 19).

The TB diagnosis date was identified as the treatment start date, or when not available, the date the mandatory notification was made. Hospitalizations were stratified based on whether the timing was at the time of diagnosis or during treatment—defined as: 1) an initial TB-related hospitalization (admission within 1 month before or up to 1 month after the date of TB diagnosis, or where TB was diagnosed in-hospital); and 2) a hospitalization later during the treatment period (admission more than 1 month after the TB diagnosis date and while the patient was still undergoing TB treatment) [14]. It was hypothesized that factors associated with hospitalizations at the time of diagnosis and treatment initiation would differ from those associated with hospitalizations occurring later during treatment.

Demographic variables included age in years, sex, provincial health insurance registration, self-reported Aboriginal status, immigration details, and homeless status. We stratified foreign-born patients into categories of immigration from high or low-moderate TB incidence countries based on WHO definitions [17], and time since immigration based on published studies indicating that TB rates are highest within the first 2 years of arrival [18]. Additional variables included smoking, drug and alcohol abuse history, HIV co-infection, and clinical characteristics (smear and culture results, disease site, TB drug resistance, cavitary and miliary TB, pulmonary and/or systemic symptoms), and method of therapy supervision (directly observed therapy (DOT) or self-administered therapy (SAT)). Patient co-morbidities were extracted from notations in hospital and public health charts; these included diabetes, cancer, renal disease, HIV, substance abuse, liver disease or other conditions. Among hospitalized patients, we identified if the hospital was a teaching (university) or non-teaching hospital, and if they died while in-hospital.

Statistical analyses

We calculated the proportion of patients with TB-related hospitalizations, overall, and stratified by hospitalization timing, and the mean (standard deviation) and median (interquartile range, IQR) LOS (in days). We further estimated the proportion of patients starting treatment in-hospital, and for these patients, estimated the length of in-hospital diagnostic delay as the median (IQR) number of days between date of hospital admission and date when TB treatment was started.

We identified factors associated with having any hospitalization by calculating univariable and multivariable odds ratios using logistic regression (SAS 9.3, SAS Institute Inc, Cary, USA), stratified on hospitalization timing. We considered variables for inclusion in adjusted models using a backward selection procedure.

We identified factors predictive of hospital LOS using Cox proportional hazards regression [19], whereby survival time was duration of time spent in-hospital and the event was hospital discharge. Patients were censored when they died in-hospital. We included hospital type in the model as a time-dependent covariate to account for transfers. Since some patients had multiple separate hospitalizations, we used a conditional counting process model whereby each hospitalization was assigned to a separate stratum and the time scale was time since study entry [20]. This allowed the baseline hazard to differ depending on whether it was the patient’s first or second hospitalization [20]. We used a robust sandwich variance estimator for estimating standard errors. When there was strong evidence that proportional hazards assumptions did not hold, we included an interaction term in the model of the variable multiplied by time. We considered variables for inclusion in adjusted models using a backward selection procedure.

Results

Characteristics of TB patients

There were 1852 patients with confirmed TB reported to Montreal Public Health between January 1996 and May 2007 (Table 1). Roughly half were male, with a median age of 44 years, and 80.5% were foreign-born, with slightly more than one-quarter having arrived to Canada within 2 years before the TB notification date. Approximately one-quarter were current or past smokers, almost one-sixth reported past or current substance abuse, but few were homeless. Six patients were reported as Canadian-born Aboriginal (data not shown). Concomitant HIV infection was documented in 7.9% of patients (Table 1).

Table 1 Characteristics of persons with TB, notified to Montreal public health between January 1996 -- May 2007, N = 1852

Most patients had pulmonary TB disease, of which one-third were smear-positive (Table 2). Few strains were TB drug resistant (6.6% mono-resistant and 1.8% multi/poly-drug resistant). Most patients were cured (82%), while 6.9% died and the remainder moved out of province, defaulted or failed treatment (Table 2). The median treatment duration was 208 days (IQR = 183–295) and was longest for multi- and poly-drug resistant cases (median 517 days, data not shown). Further stratification of covariates by years since immigration suggested that recent immigrants (within the past 2 years) were on average younger and had less co-morbidity than Canadian-born active TB patients and foreign-born patients in Canada for 15 or more years, were more likely to have pulmonary TB that was smear-negative and less likely to be symptomatic at the time of presentation (Table 3).

Table 2 Clinical characteristics of persons with TB notified to Montreal Public Health between January 1996 -- May 2007, N = 1852
Table 3 Characteristics and treatment outcomes of persons notified to Montreal public health between January 1996 -- May 2007, stratified by years since arrival to Canada

Predictors of hospitalizations and LOS

In total, 1001 patients were hospitalized (54.1%); 942 patients (50.9%) had a hospitalization initially, and 167 (9.0%) later during treatment (Table 4). Of 942 hospitalized initially, 114 were hospitalized more than once during this period 30 days before or after the TB diagnosis date (Table 4). The median LOS of initial hospitalizations was 17.5 days (IQR = 9–31) and 13 days (IQR = 6–22) later during treatment. Treatment was started in-hospital for 731 patients (39.5%), with a median time to starting treatment after admission of 4 days (IQR = 2–8). The proportion of patients hospitalized and median LOS did not change over the study period (Fig. 1).

Table 4 Number of hospitalizations and lengths of hospital stay of active TB cases, notified to Montreal public health between January 1996 -- May 2007, stratified by timing of hospitalization
Fig. 1
figure1

Number of initial hospitalizations and median length of hospital stay, notified to Montreal Public Health between January 1996 -- May 2007, stratified by year of notification (N = 1852)

In adjusted models (Table 5), patients were more likely to be hospitalized initially if they were children, had HIV co-infection, renal disease, co-morbidities, smear-positive pulmonary TB, cavitary TB, miliary TB, pulmonary or systemic symptoms, and multi- or poly-TB drug resistance. Factors associated with hospitalization later during treatment were similar to those associated with initial hospitalizations (Table 5).

Table 5 Predictors of hospitalization during diagnosis and treatment of active TB cases, notified to Montreal public health between January 1996 -- May 2007, stratified by timing of hospitalization (N = 1852)

Factors predictive of longer initial LOS in adjusted models included older age, HIV infection, renal disease, pulmonary smear-positive TB, pulmonary symptoms, multi- or poly-TB drug resistance, and admission to a teaching hospital (Table 6). Factors associated with longer LOS when hospitalized later during treatment were similar to initial hospitalizations, with the exception that having extra-pulmonary TB was associated with longer LOS (Table 6).

Table 6 Predictors of hospital length of stay during diagnosis and treatment of active TB, stratified by timing of hospitalization, Montreal, January 1996 -- May 2007

Discussion

In a setting with universal health care access, over half of all patients were hospitalized at the time of TB diagnosis and treatment initiation. Hospitalization frequencies and LOS in our study were comparable to other US and Canadian studies [12, 14, 21]. In the one US study to differentiate initial and during-treatment hospitalizations, Taylor found that 45% of TB patients had an initial hospitalization for TB and 8% were hospitalized during treatment, with a median LOS of 11 days [14].

In Montreal Health region, there are six hospitals treating TB patients which have adequate respiratory isolation facilities. The Canadian TB Standards recommend that patients with confirmed smear-positive, culture-positive drug susceptible respiratory TB be kept under airborne precautions until there is clinical evidence of improvement, evidence of adherence to at least 2 weeks of effective treatment, and three consecutive negative sputum smears [22]. Thus some of our findings likely reflect recommended hospitalization guidelines for TB patients. However, patients may be discharged to home isolation for the period requiring airborne precautions provided there is clinical improvement, drug-resistant TB is not suspected and there is no contraindication for home isolation [22].

Our study also identified several population groups at higher hospitalization risk and longer LOS. Hospitalization risk was lowest among immigrants who arrived in Canada within 2 years of diagnosis, and increased with time since immigration, approaching rates of Canadian-born patients by 15 years post-arrival. Recent immigrant patients may have less advanced disease due to earlier diagnosis through active screening [23]. This was suggested by our study, whereby recently immigrated TB patients were less likely to have smear-positive, symptomatic pulmonary TB. These findings may also partly reflect a “healthy immigrant effect”, whereby immigrants’ health at the time of arrival is better than the Canadian-born population, an effect that tends to diminish with longer time spent in Canada [24]. Having drug resistance was associated with a higher risk of hospitalization and longer LOS—similar to the Taylor study, which found that MDR-TB cases were almost 6 times more likely to be hospitalized than non-MDR patients [14]. This has implications for resource planning, given increasing drug-resistant TB globally. There was also evidence for an increased hospitalization rate and longer LOS of homeless patients in our study, similar to previous studies [14, 25].

Strengths of this study include the virtually complete capture of confirmed TB cases in a large health region. The extraction of detailed clinical data from hospital, clinic and public health records allowed investigation into clinical and social determinants of hospitalization in the general population of TB patients. Limitations include that these data were collected retrospectively and recording of some details, such as smoking, alcohol, and illicit drug use may not be complete. Additionally, if patients were hospitalized outside Montreal, this may not have been recorded in the study database, thus underestimating hospitalization rates. It is possible that some hospitalizations were due to co-morbidities, rather than presentation of active TB symptoms (thus overestimating the TB-related hospitalization rate). These results also may not be generalizable to other jurisdictions, for example, TB hospitalizations have been shown to vary based on urban or rural residence [26].

This study adds to our knowledge about hospitalization during TB diagnosis and treatment in a large urban Canadian population. These data can be used by planners to better capture TB resource implications especially with regard to the cost effectiveness of treatment of LTBI. Our finding that homeless patients were more likely to be admitted with longer LOS, suggests a need for earlier diagnosis and treatment for these patients, and is supported by similar findings by Marks et al. in the US [25]. Our finding that Canadian-born patients tended to have more severe disease at the time of diagnosis suggests a need for interventions to reduce diagnostic delay, such as increased training for health care professionals, patients, and community members to increase their TB awareness. Some hospitalizations may also be preventable; in a US study, for example, close to 40% of hospitalizations of TB patients were considered likely to have been avoidable [1]. We found that smear-positive patients were more likely to be hospitalized with longer LOS; it is possible that in some of these cases, physicians may have been reluctant to discharge patients if they are unsure how to manage a potentially infectious patient in their home, as previously reported [1]. Professional development programs for physicians on evidence-based strategies for TB management could help to reduce time spent in-hospital. Improving community-based DOT programs could also lead to reductions in hospitalization rates of TB patients [27].

Conclusion

We found a high hospitalization rate at the time of diagnosis and during treatment of patients with TB. Diagnostic delay due to low index of suspicion may result in patients presenting with more severe disease at the time of diagnosis. Earlier identification and treatment of patients, through interventions such as enhanced training to increase TB awareness and more targeted prevention programs, might reduce costly TB-related hospital use.

Abbreviations

CI:

Confidence interval

DOT:

Directly observed therapy

HIV:

Human immunodeficiency virus

HR:

Hazard ratio

IQR:

Interquartile range

LOS:

Length of stay

LTBI:

Latent tuberculosis infection

RAMQ:

Régie de l’assurance maladie du Québec

SAT:

Self-administered therapy

TB:

Tuberculosis

WHO:

World Health Organization

References

  1. 1.

    Thomas JA, Laraque F, Munsiff S, Piatek A, Harris TG. Hospitalizations for tuberculosis in New York City: how many could be avoided? Int J Tuberc Lung Dis. 2010;14(12):1603–12.

  2. 2.

    MacIntyre CR, Plant AJ, Hendrie D. Shifting the balance between in-patient and out-patient care for tuberculosis results in economic savings. Int J Tuberc Lung Dis. 2001;5(3):266–71.

  3. 3.

    Taylor Z, Nolan CM, Blumberg HM. Controlling tuberculosis in the United States. Recommendations from the American Thoracic Society, CDC, and the Infectious Diseases Society of America. MMWR Recomm Rep. 2005;54(RR-12):1–81.

  4. 4.

    Oscherwitz T, Tulsky JP, Roger S, Sciortino S, Alpers A, Royce S, et al. Detention of persistently nonadherent patients with tuberculosis. JAMA. 1997;278(10):843–6.

  5. 5.

    Singleton L, Turner M, Haskal R, Etkind S, Tricarico M, Nardell E. Long-term hospitalization for tuberculosis control. Experience with a medical-psychosocial inpatient unit. JAMA. 1997;278(10):838–42.

  6. 6.

    Edlin BR, Tokars JI, Grieco MH, Crawford JT, Williams J, Sordillo EM, et al. An outbreak of multidrug-resistant tuberculosis among hospitalized patients with the acquired immunodeficiency syndrome. N Engl J Med. 1992;326(23):1514–21.

  7. 7.

    Greenaway C, Menzies D, Fanning A, Grewal R, Yuan L, FitzGerald JM. Delay in diagnosis among hospitalized patients with active tuberculosis--predictors and outcomes. Am J Respir Crit Care Med. 2002;165(7):927–33.

  8. 8.

    Rao VK, Iademarco EP, Fraser VJ, Kollef MH. Delays in the suspicion and treatment of tuberculosis among hospitalized patients. Ann Intern Med. 1999;130(5):404–11.

  9. 9.

    Marks SM, Taylor Z, Miller BI. Tuberculosis prevention versus hospitalization: taxpayers save with prevention. J Health Care Poor Underserved. 2002;13(3):392–401.

  10. 10.

    Nutini S, Fiorenti F, Codecasa LR, Casali L, Besozzi G, Di Pisa G, et al. Hospital admission policy for tuberculosis in pulmonary centres in Italy: a national survey. AIPO Tuberculosis Study Group. Italian Association of Hospital Pulmonologists. Int J Tuberc Lung Dis. 1999;3(11):985–91.

  11. 11.

    Bocchino M, Greco S, Rosati Y, Mattioli G, Marruchella A, De Mori P, et al. Cost determinants of tuberculosis management in a low-prevalence country. Int J Tuberc Lung Dis. 2006;10(2):146–52.

  12. 12.

    Brown RE, Miller B, Taylor WR, Palmer C, Bosco L, Nicola RM, et al. Health-care expenditures for tuberculosis in the United States. Arch Intern Med. 1995;155(15):1595–600.

  13. 13.

    Menzies D, Lewis M, Oxlade O. Costs for tuberculosis care in Canada. Can J Public Health. 2008;99(5):391–6.

  14. 14.

    Taylor Z, Marks SM, Rios Burrows NM, Weis SE, Stricof RL, Miller B. Causes and costs of hospitalization of tuberculosis patients in the United States. Int J Tuberc Lung Dis. 2000;4(10):931–9.

  15. 15.

    Wurtz R, White WD. The cost of tuberculosis: utilization and estimated charges for the diagnosis and treatment of tuberculosis in a public health system. Int J Tuberc Lung Dis. 1999;3(5):382–7.

  16. 16.

    MSSS. Épidémiologie de la tuberculose au Québec de 2004 à 2007 (2009-04-03): Sante and services sociaux Quebec, vol. 73. 2009.

  17. 17.

    Clancy L, Rieder HL, Enarson DA, Spinaci S. Tuberculosis elimination in the countries of Europe and other industrialized countries. Eur Respir J. 1991;4(10):1288–95.

  18. 18.

    Langlois-Klassen D, Wooldrage KM, Manfreda J, Sutherland K, Ellis E, Phypers M, et al. Piecing the puzzle together: foreign-born tuberculosis in an immigrant-receiving country. Eur Respir J. 2011;38(4):895–902.

  19. 19.

    Fenn P, Davies P. Variations in length of stay. A conditional likelihood approach. J Health Econ. 1990;9(2):223–34.

  20. 20.

    Therneau T, Grambsch P. Modeling Survival Data: Extending the Cox Model. New York: Springer Science + Business Media; 2000.

  21. 21.

    Rajbhandary SS, Marks SM, Bock NN. Costs of patients hospitalized for multidrug-resistant tuberculosis. Int J Tuberc Lung Dis. 2004;8(8):1012–6.

  22. 22.

    Canadian Thoracic Society. Canadian Tuberculosis Standards. 7th ed. 2013. http://www.respiratoryguidelines.ca/tb-standards-2013. (Accessed 11 Nov 2016).

  23. 23.

    Laifer G, Widmer AF, Simcock M, Bassetti S, Trampuz A, Frei R, et al. TB in a low-incidence country: differences between new immigrants, foreign-born residents and native residents. Am J Med. 2007;120(4):350–6.

  24. 24.

    Ng E. The healthy immigrant effect and mortality rates. Health Rep. 2011;22(4):25–9.

  25. 25.

    Marks SM, Taylor Z, Burrows NR, Qayad MG, Miller B. Hospitalization of homeless persons with tuberculosis in the United States. Am J Public Health. 2000;90(3):435–8.

  26. 26.

    Martens P, Brownell M, Au W, MacWilliam L, Prior H, Schultz J, et al. Health Inequities in Manitoba: Is the Socioeconomic Gap Widening or Narrowing Over Time? Winnipeg: Manitoba Centre for Health Policy; 2010.

  27. 27.

    Terry MB, Desvarieux M, Short M. Temporal trends in tuberculosis hospitalization rates before and after implementation of directly observed therapy: New York City, 1988-1995. Infect Control Hosp Epidemiol. 2002;23(4):221–3.

  28. 28.

    Public Health Agency of Canada. Canadian Tuberculosis Reporting System. Reporting Form Completion Guidelines (version 1.9). Effective January 1, 2011. http://www.phac-aspc.gc.ca/tbpc-latb/pdf/guidelinesform-eng.pdf. (Accessed 11 Nov 2016).

Download references

Funding

Lisa Ronald received funding support through the Canadian Institutes of Health Research (Banting and Best Doctoral Award), the BC Lung Association, and the Quebec Respiratory Health Network Training Program. The establishment of the database used in this study was supported through a CIHR funded grant entitled “Understanding the Keys to Tuberculosis: From Exposure to Infection and from Infection to Disease”).

Availability of data and materials

The establishment of the database used in this study was supported through a CIHR funded grant entitled “Understanding the Keys to Tuberculosis: From Exposure to Infection and from Infection to Disease”). These are confidential patient-level data and are not publicly available.

Authors’ contributions

LR was responsible for the original ideas behind the manuscript, analysis and writing. DM and JMF provided guidance on all aspects of the studies and are key editors. AB, GBE, JFB, and KS provided methodological guidance and editorial assistance. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable: manuscript does not contain any individual person’s data.

Ethics approval and consent to participate

Ethical approval for this study protocol was obtained through the McGill University Health Centre Research Ethics Board (BMC06-023/BMC06-006t). The Institutional Review Board for each institution and the administrators of each hospital gave approval for access to medical records; patient consent was not required by the MUHC Ethics Board review as this was a retrospective study.

Author information

Correspondence to Dick Menzies.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Keywords

  • Active tuberculosis
  • Health service utilization
  • Length of hospital stay
  • Survival analysis
  • Epidemiology