ABSTRACT
BACKGROUND: Partners In Health (PIH) committed to improving health care delivery in Maryland County, Liberia following the Ebola epidemic by employing 71 community health workers (CHWs) to provide treatment support to tuberculosis (TB), HIV and leprosy patients. PIH simultaneously deployed a socioeconomic assistance program with three core components: transportation reimbursement to clinics; food support; and additional social assistance in select cases. OBJECTIVE: This study aimed to evaluate how a CHW program for community treatment support and addressing socioeconomic barriers to care can impact patient outcomes in a post-conflict and post-epidemic context. METHODS: Retrospective observational study utilizing registry data from 513 TB, 447 HIV and 75 leprosy patients at three health facilities in Maryland County, Liberia. Treatment coverage and clinical outcomes for patient cohorts enrolled in the pre-intervention period (January 2015 to June 2015) and the post-intervention period (July 2015 to July 2017) are compared using logistic regression analyses. RESULTS: TB treatment coverage increased from 7.7% pre-intervention to 43.2% (p < 0.001) post-intervention and lost to follow-up (LTFU) rates decreased from 9.5% to 2.1% (p = 0.003). ART treatment coverage increased 3.8 percentage points (p = 0.03), with patient retention improving 63.9% to 86.1% (p < 0.001); a 6.0 percentage point decrease in HIV LTFU was also observed (p = 0.21). Despite an 84.3% treatment success rate observed for leprosy patients, pre-intervention data was largely unavailable and statistical significance could not be reached for any treatment outcomes pre-post intervention. CONCLUSIONS: The PIH approach to CHW community treatment support in Liberia demonstrates how, with the right inputs, excellent clinical outcomes are possible even in post-conflict and post-epidemic contexts. Care should be taken to position and support CHWs so that they have the opportunity to succeed, including full integration and recognition within the system, and the addition of clinical system improvements and social supports that are too often dismissed as unsustainable.
Subject(s)
Acquired Immunodeficiency Syndrome/drug therapy , Community Health Services/organization & administration , Community Health Workers/psychology , HIV Infections/drug therapy , Leprosy/drug therapy , Patient Compliance/psychology , Tuberculosis/drug therapy , Acquired Immunodeficiency Syndrome/epidemiology , Adult , Female , HIV Infections/epidemiology , Humans , Leprosy/epidemiology , Liberia/epidemiology , Male , Middle Aged , Patient Compliance/statistics & numerical data , Retrospective Studies , Socioeconomic Factors , Treatment Outcome , Tuberculosis/epidemiologyABSTRACT
OBJECTIVES: In June 2015, Partners in Health (PIH) and the Liberian Ministry of Health began a community health worker (CHW) programme containing food support, reimbursement of transport and social assistance to address gaps in tuberculosis (TB) treatment exacerbated by the 2014-2015 Ebola virus disease (EVD) epidemic. The purpose of this article was to analyse the performance of routine clinical TB care and the effects of this CHW programme. METHODS: Retrospective cohort study utilising data from TB patient registers at a census of all health facilities treating TB in the south-east region of Liberia from January 2015 - April 2017. Competing risks Cox regression analyses were used to generate subhazard ratios (sHR) analysing factors associated with rates of TB cure (smear negative), treatment completion (no smear), lost to follow-up (LTFU) and death. RESULTS: LTFU rates decreased 76% pre- vs. post-CHW intervention, from 14.6% in pre-intervention to 3.4% post-intervention (P < 0.001). Although the post-intervention had better cure rates (sHR 1.07, CI 0.58-1.9), treatment completion (sHR 1.53, CI 1.00 2.39) and lower death rates (sHR 0.64, CI 0.34-1.2), statistical significance was not reached. Younger patients had significantly lower death and cure rates, while older patients had higher LTFU and cure rates. Overall, 31% of patients were cured, 44% completed treatment without a confirmatory smear, 5% were LTFU, 9% died, 0.5% failed treatment, and 10% transferred out. CONCLUSIONS: In challenging environments, LTFU can be reduced by CHW accompaniment and socio-economic assistance to patients with TB. Approaches are needed to improve cure verification in young patients and reduce mortality.
Subject(s)
Communicable Disease Control/organization & administration , Patient Compliance/statistics & numerical data , Primary Health Care/methods , Rural Population/statistics & numerical data , Tuberculosis/therapy , Cohort Studies , Female , Humans , Liberia , Male , Public Sector , Retrospective Studies , Treatment OutcomeABSTRACT
BACKGROUND: The aim of this study is to estimate the immediate and lasting effects of the 2014-2015 Ebola virus disease (EVD) outbreak on public-sector primary healthcare delivery in Liberia using 7 years of comprehensive routine health information system data. METHODS AND FINDINGS: We analyzed 10 key primary healthcare indicators before, during, and after the EVD outbreak using 31,836 facility-month service outputs from 1 January 2010 to 31 December 2016 across a census of 379 public-sector health facilities in Liberia (excluding Montserrado County). All indicators had statistically significant decreases during the first 4 months of the EVD outbreak, with all indicators having their lowest raw mean outputs in August 2014. Decreases in outputs comparing the end of the initial EVD period (September 2014) to May 2014 (pre-EVD) ranged in magnitude from a 67.3% decrease in measles vaccinations (95% CI: -77.9%, -56.8%, p < 0.001) and a 61.4% decrease in artemisinin-based combination therapy (ACT) treatments for malaria (95% CI: -69.0%, -53.8%, p < 0.001) to a 35.2% decrease in first antenatal care (ANC) visits (95% CI: -45.8%, -24.7%, p < 0.001) and a 38.5% decrease in medroxyprogesterone acetate doses (95% CI: -47.6%, -29.5%, p < 0.001). Following the nadir of system outputs in August 2014, all indicators showed statistically significant increases from October 2014 to December 2014. All indicators had significant positive trends during the post-EVD period, with every system output exceeding pre-Ebola forecasted trends for 3 consecutive months by November 2016. Health system outputs lost during and after the EVD outbreak were large and sustained for most indicators. Prior to exceeding pre-EVD forecasted trends for 3 months, we estimate statistically significant cumulative losses of -776,110 clinic visits (95% CI: -1,480,896, -101,357, p = 0.030); -24,449 bacille Calmette-Guérin vaccinations (95% CI: -45,947, -2,020, p = 0.032); -9,129 measles vaccinations (95% CI: -12,312, -5,659, p < 0.001); -17,191 postnatal care (PNC) visits within 6 weeks of birth (95% CI: -28,344, -5,775, p = 0.002); and -101,857 ACT malaria treatments (95% CI: -205,839, -2,139, p = 0.044) due to the EVD outbreak. Other outputs showed statistically significant cumulative losses only through December 2014, including losses of -12,941 first pentavalent vaccinations (95% CI: -20,309, -5,527, p = 0.002); -5,122 institutional births (95% CI: -8,767, -1,234, p = 0.003); and -45,024 acute respiratory infections treated (95% CI: -66,185, -24,019, p < 0.001). Compared to pre-EVD forecasted trends, medroxyprogesterone acetate doses and first ANC visits did not show statistically significant net losses. ACT treatment for malaria was the only indicator with an estimated net increase in system outputs through December 2016, showing an excess of +78,583 outputs (95% CI: -309,417, +450,661, p = 0.634) compared to pre-EVD forecasted trends, although this increase was not statistically significant. However, comparing December 2013 to December 2017, ACT malaria cases have increased 49.2% (95% CI: 33.9%, 64.5%, p < 0.001). Compared to pre-EVD forecasted trends, there remains a statistically significant loss of -15,144 PNC visits within 6 weeks (95% CI: -29,453, -787, p = 0.040) through December 2016. CONCLUSIONS: The Liberian public-sector primary healthcare system has made strides towards recovery from the 2014-2015 EVD outbreak. All primary healthcare indicators tracked have recovered to pre-EVD levels as of November 2016. Yet, for most indicators, it took more than 1 year to recover to pre-EVD levels. During this time, large losses of essential primary healthcare services occurred compared to what would have been expected had the EVD outbreak not occurred. The disruption of malaria case management during the EVD outbreak may have resulted in increased malaria cases. Large and sustained investments in public-sector primary care health system strengthening are urgently needed for EVD-affected countries.