To the Editor: The research letter by Hespe and colleagues1 on cardiovascular disease prevention is itself a missed opportunity to illuminate the complexities of person‐focused management of patients in general practice. While it provides a snapshot on cardiovascular disease prevention, it does not offer any exploration of the veracity or otherwise of these findings. Aggregate decontextualised and — as acknowledged — limited data ultimately fail to identify the true nature of the problem. Simply focusing on easily extractable data from computerised medical record systems, without linkage to the unique features and context of the person to whom these data belong, necessarily results in a distorted picture. Big data has the potential to inform only if it is appropriately interpreted and may be useful in process monitoring. Such data have a limited role in assessing general practitioner performance and outcomes of care.2
The full article is accessible to AMA members and paid subscribers. Login to read more or purchase a subscription now.
Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.
- 1. Hespe CM, Campain A, Webster R, et al. Implementing cardiovascular disease preventive care guidelines in general practice: an opportunity missed. Med J Aust 2020; 213: 327–328. https://www.mja.com.au/journal/2020/213/7/implementing‐cardiovascular‐disease‐preventive‐care‐guidelines‐general‐practice
- 2. Levesque J‐F, Sutherland K. Combining patient, clinical and system perspectives in assessing performance in healthcare: an integrated measurement framework. BMC Health Serv Res 2020; 20: 23.
- 3. Kale MS, Korenstein D. Overdiagnosis in primary care: framing the problem and finding solutions. BMJ 2018; 362.
- 4. Scott JG, Warber SL, Dieppe P, et al. Healing journey: a qualitative analysis of the healing experiences of Americans suffering from trauma and illness. BMJ Open 2017; 7: e016771.
- 5. Sturmberg JP, Picard M, Aron DC, et al. Health and disease‐emergent states resulting from adaptive social and biological network interactions. Front Med (Lausanne) 2019; 6: 59.
No relevant disclosures.