Non tuberculous mycobacteria pulmonary disease: patients and clinicians working together to improve the evidence base for care

Marc Lipman*, Heinke Kunst, Michael R. Loebinger, Heather J. Milburn, Michael King

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    Abstract

    Non-tuberculous mycobacterial pulmonary disease is on the rise globally. It is often missed, and causes significant morbidity and even mortality. Here, members of a clinical research network and a patient support group discuss some of the current key issues in NTM management. In addition to the need for research into epidemiology, immunology and treatment, we recommend greater use of patient and clinician networks to: (i) educate primary and secondary care clinicians to develop a high index of suspicion when investigating and treating at risk populations. (ii) promote a multidisciplinary team. (iii) promote shared patient-clinician decision making throughout care. (iv) incorporate use of patient self-report measures to assess progress and outcomes. (v) increase education of patients on their illness and its management. (vi) recruit patients into research projects and registries to improve the clinical evidence base. (vii) increase co-production of research with key stakeholders such as patients and their families, using expert patients and patient groups. (viii) understand more about the psychological, social and economic consequences of the disease.

    Original languageEnglish
    Pages (from-to)S73-S77
    JournalINTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
    Volume113
    DOIs
    Publication statusPublished - Dec 2021

    Keywords

    • Multidisciplinary
    • Mycobacteria
    • Outcome
    • Patient
    • Research
    • Support group
    • Treatment

    Fingerprint

    Dive into the research topics of 'Non tuberculous mycobacteria pulmonary disease: patients and clinicians working together to improve the evidence base for care'. Together they form a unique fingerprint.

    Cite this