This study was conducted to evaluate the ability of risk assessment to predict healthcare resource utilisation (HCRU), costs, treatments, health-related quality of life (HRQoL) and survival in patients diagnosed with chronic thromboembolic pulmonary hypertension (CTEPH).
Retrospective observational study.
Pulmonary hypertension referral centre in the UK.
Adults diagnosed with CTEPH between 1 January 2012 and 30 June 2019 were included. Cohorts were retrospectively defined for operated patients (received pulmonary endarterectomy (PEA)) and not operated; further subgroups were defined based on risk score (low, intermediate or high risk for 1-year mortality) at diagnosis.
Demographics, clinical characteristics, comorbidities, treatment patterns, HRQoL, HCRU, costs and survival outcomes were analysed.
Overall, 683 patients were analysed (268 (39%) operated; 415 (61%) not operated). Most patients in the operated and not-operated cohorts were intermediate risk (63%; 53%) or high risk (23%; 31%) at diagnosis. Intermediate-risk and high-risk patients had higher HCRU and costs than low-risk patients. Outpatient and accident and emergency visits were lower postdiagnosis for both cohorts and all risk groups versus prediagnosis. HRQoL scores noticeably improved in the operated cohort post-PEA, and less so in the not-operated cohort at 6–18 months postdiagnosis. Survival at 5 years was 83% (operated) and 49% (not operated) and was lower for intermediate-risk and high-risk patients compared with low-risk patients.
Findings from this study support that risk assessment at diagnosis is prognostic for mortality in patients with CTEPH. Low-risk patients have better survival and HRQoL and lower HCRU and costs compared with intermediate-risk and high-risk patients.
Treatment for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) is increasingly transitioning from hospital-centred to community-based care. A national policy for decentralised programmatic MDR/RR-TB care was adopted in South Africa in 2011. We explored variations in the implementation of care models in response to this change in policy, and the implications of these variations for people affected by MDR/RR-TB.
A mixed methods study was done of patient movements between healthcare facilities, reconstructed from laboratory records. Facility visits and staff interviews were used to determine reasons for movements.
People identified with MDR/RR-TB from 13 high-burden districts within South Africa.
Geospatial movement patterns were used to identify organisational models. Reasons for patient movement and implications of different organisational models for people affected by MDR/RR-TB and the health system were determined.
Among 191 participants, six dominant geospatial movement patterns were identified, which varied in average hospital stay (0–281 days), average patient distance travelled (12–198 km) and number of health facilities involved in care (1–5 facilities). More centralised models were associated with longer delays to treatment initiation and lengthy hospitalisation. Decentralised models facilitated family-centred care and were associated with reduced time to treatment and hospitalisation duration. Responsiveness to the needs of people affected by MDR/RR-TB and health system constraints was achieved through implementation of flexible models, or the implementation of multiple models in a district.
Understanding how models for organising care have evolved may assist policy implementers to tailor implementation to promote particular patterns of care organisation or encourage flexibility, based on patient needs and local health system resources. Our approach can contribute towards the development of a health systems typology for understanding how policy-driven models of service delivery are implemented in the context of variable resources.