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MOZambique snApshot of emeRging Trends (MOZART) Disease Surveillance Study

MOZambique snApshot of emeRging Trends (MOZART) Disease Surveillance Study of Communicable versus Non-Communicable Diseases and Injuries in Urban Referral Hospitals of Mozambique

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12616001250426
Acronym
MOZART
Enrollment
3644
Registered
2016-09-07
Start date
2016-04-04
Completion date
2017-11-30
Last updated
2020-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Both Communicable diseases (CDs) and Non-Communicable diseases (NCDs) are a growing public health concern worldwide. However, there is limited data describing the epidemiological balance between CDs and NCDs in developing countries. In sub-Saharan Africa, NCDs are responsible for a third of the disability-adjusted life year burden, and are becoming critical health issues. Mozambique, where the population is expected to double by 2030 and life expectancy is increasing will be a key barometer of epidemiological transition in the region. Our primary aim is to examine and describe the current and likely epidemiological balance between CDs and NCDs within the Mozambique population. The MOZambique snApshot of emeRging Trends (MOZART) Disease Surveillance Study is a prospective, multi-centre study with random profiling of one-in-five representative case presentations at four tertiary hospitals in Mozambique. For each participating hospital, surveys will be conducted for 30 consecutive days at a time and then replicated in a different season, to capture seasonal changes in profile between the wet and dry seasons. All patients presenting to the Emergency Departments during the study period will be eligible for screening and those recruited will be followed from point-of-admission up until discharge. This unique study, to be undertaken in a low-resource setting will provide invaluable data in respect to the balance of CDs and NCDs in different regions of Mozambique, and at different times of the year. The initial pilot study confirmed both the feasibility (>1300 cases comprehensively profiled) and value of the study in this regard.

Interventions

The MOZART Disease Surveillance Study is a prospective, multi-centred study with random profiling of representative case presentations at three tertiary hospitals in Mozambique (Hospital Geral de Mavalane, Hospital Central da Beira and Hospital Central de Nampula). For each participating hospital, electronic surveys will be conducted face-to-face for 30 consecutive days at a time (primary outcome data). A minimum target of 1000 participants will determine the ratio/proportion of all cases select

The MOZART Disease Surveillance Study is a prospective, multi-centred study with random profiling of representative case presentations at three tertiary hospitals in Mozambique (Hospital Geral de Mavalane, Hospital Central da Beira and Hospital Central de Nampula). For each participating hospital, electronic surveys will be conducted face-to-face for 30 consecutive days at a time (primary outcome data). A minimum target of 1000 participants will determine the ratio/proportion of all cases selected for more detailed profiling at each site. Accordingly all emergency presentations during the study period will be monitored via the point of entry to the hospital's emergency department with basic information recorded to determine the overall case-load of emergency presentations during the 30-day snap-shot period. Based on their order of presentation (selection of every fifth or sixth case), participants will be approached by MOZART personnel , and if informed consent is provided, subject to more detailed clinical following (including hospital outcome). The 30-day snapshots will be replicated at all three sites to capture seasonal changes in profile between the wet and dry seasons (secondary outcome data). As noted, all patients presenting to the Emergency Departments during the study period will be eligible for screening and those recruited by trained health professionals will be followed from point-of-admission up until discharge. Two Microsoft Access Questionnaire Databases were conceived jointly by Instituto Nacional de Saude (INS), Mozambique and the Mary MacKillop Institute for Health Research (MMIHR), Australian Catholic University, Australia. A final version was built in Portuguese at MMIHR where the Patients Registration profile (name, residential suburb, contact details and hospital identification) are collected at the participating hospitals on dedicated study laptops and then stored with the INS to ensure the privacy of each patient. Health data (basic demographics, risk profile, medical history, admission details, and treatment) for each patient are then anonymously recorded on an external database and then transferred to, analysed, recorded, and stored by Data Management at the MMIHR. The methodologically and systematically closed- and open-questions in the electronic database provides efficient means of data entry, storage, and management.

Sponsors

Mary MacKillop Institute for Health Research Centre for Research Excellence, Australian Catholic University
Lead SponsorOther Collaborative groups

Eligibility

Sex/Gender
All
Healthy volunteers
No

Inclusion criteria

During each study period (initially four sets of 30-day snap=shot periods followed by a repeat snap-shot in the opposite season), all patients (i.e. 24 hours a day) presenting to the emergency department of the participating hospitals will be recorded and cases randomly selected for more detailed clinical profiling. All selected patients, regardless of age, will be included in the screening process.

Exclusion criteria

Patients will be excluded from the study if they are unable to respond to the trained nurses or the study survey team (i.e., unconscious, confused due to mental illness, severely ill, or under the influence of illicit drugs) unless the study team is able to obtain data from a family member/partner.

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026