We thank Kajal [1] and the editors of the Journal of Medical Internet Research for providing this opportunity to discuss our paper [2] with an academic audience directly after the publication of our work.

Overall, we think our systematic review is not perfect, but we endeavor to bring contributions and values to health care knowledge. We believe our audience can find not only the flaws but also the values of our paper. We, along with the reviewers and editors of the Journal of Medical Internet Research, have worked together to make this systematic review as valuable as possible during the publication process; we hope the readers will benefit from it in their future studies.

Our specific responses to Kajal [1] are as follows: First, we believe our study is a systematic review rather than a scoping review since our review not only identified available studies but also identified principal results and areas for future research [3]. The integrative framework provided in our review could serve as the basis for decision-making in value cocreation in health care. We understand that scoping reviews and systematic reviews overlap with each other, but our review matches the methods of a systematic review. Moreover, if the audience read our paper more carefully, they will find that “this area of research is new, and literature is fragmented” is not our only motivation; we also propose other motivations, including “for VCCH, the factors are not explored systematically, underlying mechanisms of its factors are vague, and consequences are not fully investigated” [2]. Finally, we may not have formally proposed a research question in our review, but we did have a specific research aim with the following implied question: What are the dimensions, antecedents, and consequences of value cocreation in health care, and how do they relate?

Second, we think our current search terms are adequate for our review goals. We have tried other search terms related to our research topic, but not many related or qualified articles were found.

Third, the risk of biases and heterogeneity were assessed using the MMAT (Mixed Methods Appraisal Tool). This tool not only appraises the quality of individual studies given the heterogeneity of the study designs but also accounts for many biases including confounding bias, nonresponse bias, and sampling bias [4]. Meanwhile, many previous systematic reviews or systematic review protocols have used the MMAT to assess the risk of bias, such as Xu et al [5], Pearson et al [6], and Gledhill et al [7].

Forth, we admit that developing and presenting a theoretical framework is not a standard method, but it is our unique way of contributing to knowledge in health care. As you can see in our paper, the framework could (1) map and visualize studies systematically, (2) provide a novel theoretical perspective, (3) and imply many future research directions directly. Regarding these 3 benefits, we believe it is necessary to present this framework even though it is not a standard method.

We hope our response has alleviated the concerns raised by Kajal [1].