It was written by Benjamin Clark
As the largest organ of the body, the skin is influenced by a vast number of diseases, and more than 3,000 distinctive dermatology conditions affect more than 1.8 billion individuals worldwide (1). If the prevalence of chronic skin condition is expected to rise over the next 15 years (2), it is more urgent to see the need to approach effective treatment timely. In the source, there is a wide range of experiences of skin condition, including the following:
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- Conceptualization and development cost efficiency model (CEMS)
- Systematic literature review (SLR) and evidence synthesis
- Preparation of health technology evaluation (HTA) institutions such as NIC (National Institute for Health and Care Excellence) and Scotland Pharmaceutical Consortium (SMC).
In recent projects, we have confirmed some repeated methods and practical tasks on the basis for evidence for submissions.
1. Test design
Test data interpretation for use in CEM can be difficult. In our experience, the test is often as follows.
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- Heterogeneous populationThis can limit general resistance (for example, a patient with a multi -disease subcontract type and a severity level of disease or a previous treatment line).
- Variable treatment compliance It may be difficult to capture the therapeutic effect.
- Uncertain patient treatment history You can complicate the location of the intervention within the treatment path.
- Outbo effect and Improvement of humble quality of life Please show your treatment profit.
2. Comparative therapy
There are several tasks regarding comparison therapy.
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- Clinical guidelines can be ambiguous In terms of location, it may not be completely matched with actual practices (eg, combination therapy and treatment cycling), which can make the comparison selection difficult.
- Comparison processing is often low costIt becomes more difficult to show cost efficiency.
3. The dependence on the quality of life
In most dermatology conditions, intervention improves the quality of life, but does not limit or affect mortality. In other words, the Quality calculation means that it relies greatly on improvement. but:
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- Endpoints can be difficult to interpret and integrate into CEMs. (Example: Itching and activity index based on proportional response).
- that Value, reliability and sensitivity Change of the same instrument EQ-5D-5L In terms of dermatology-as proven by the development of specific bolt-ons (3).
4. Recurrence cutting characteristics of skin condition
Many dermatology and skin condition follow the recurrence cutting pattern. This creates multiple modeling tasks.
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- Structure health status and capture flare Frequency/severity It can be complicated within the CEM, and in some conditions, the model precedence is insufficient.
- Annual mitigation period Even if it is not included in the test protocol or marketing approval, you can question the need to include the rules of treatment.
5. Long -term effect estimation
Dermatology tests often have short duration, and after several months of treatment, the primary end point (often reaction rate) is recorded. This means that outside shovel may be difficult, especially if the evidence of natural death is limited.
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- Therefore, the exterior becomes large Home -centered.
- Assumptions are usually needed Therapeutic compliance/persistence and Stabilization Therefore, uncertainty is introduced to the model.
Source Health Economics has experience relieving problems related to economic evaluation of dermatology treatment. Contact to learn more about our experience or discuss the complexity faced for dermatology.
reference
- World Day of World. Can be used: https://worldskinday.org/about/.
- Oh, jiyeon et al. Global, regional and national burden of asthma and atopic dermatitis, projects on 1990-2021 and 2050: Systematic analysis of the global burden of disease research 2021. Lancet Respiratory Medicine, Volume 13, 5, 425-446
- EQ-5D-5L content effective using slavicz e, szabó á, körós á, seiffert a, bancsók, brodszky V, gyulai r, rencz F. Confident BOLT QUALL LIFE RES. January 2024; 33 (1): 101-111. Doi: 10.1007/S1136-023-03519-6. EPUB 2023
