Internet of things (IoT) is intensely gaining popularity in the healthcare industry. Though these systems are ubiquitous, pervasive and seamless, an issue concerning consumers' privacy remains debatable. There is an immaculate rise in terms of awareness amongst patients where data privacy is concerned. IoT-based health applications are more prone to privacy risks, and hence general privacy guidelines for health applications, in general, are not adequate. Often, privacy is oversighted, causing consumers to lose interest from using an application continuously. In this paper, we propose a compliance scale modelling the privacy principles for privacy-aware novel IoT-based health applications. We have conducted an analytical review of privacy guidelines to derive at the essential principles required to develop and measure privacy-aware IoT health applications after discarding irrelevant principles, extracting repeating core principles, and merging relevant principles. A quantitative survey was deployed to empirically evaluate the proposed scale to finalize the principles based on their significance. The proposed compliance scale presents essential privacy principles to adhere in the development of novel IoT health applications. The proposed compliance scale would be significant for policymakers and applications developers to measure, better understand and respect the privacy principles of consumers towards novel IoT-based health applications.