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Arthritis: NHS Doctor Reveals 3 Common Mistakes “Killing” Your Joints

 

Overview
PPI, or patient and public engagement, is essential to the planning and sequencing of research projects. Public involvement in research is defined by the National Institute for Health Research (NIHR) as "research being carried out 'with' or 'by' members of the public rather than 'to', 'about', or 'for' them" [1]. As part of a project steering group, funders and researchers usually conduct PPIs to prioritize research ideas and provide advise. The phrase "public" refers to a broad category of people, such as clients, prospective clients, caregivers, consumers of health and social services, and individuals who speak on their behalf [1]. It's critical to distinguish between the opinions of the general public and those of professionals working in the fields of health and social care.particularly when taking priority and research design into account. This makes it easier for research to have the greatest possible impact and to enroll more participants, particularly if people with the condition being studied are involved from the beginning [2]. Undertaking PPI in the field of rheumatic diseases guarantees that research is patient-centered and therapeutically relevant, encompassing a variety of chronic and frequently incapacitating conditions that are managed with a broad spectrum of medications, such as immunosuppressants and analgesics.

PPI is required to optimize study design and results, as evidenced by a wealth of data [2-4]. To ensure greater relevance and the possibility of greater value, it can be helpful to obtain a broad overview of public attitudes of a particular topic early in the study design process. Moreover, focus groups might be hard to get into, particularly for aspiring physicians and researchers. The COVID-19 epidemic has led to the implementation of social distancing measures, which have made this situation even more challenging. This could have long-term effects ranging from months to years. Surveys and questionnaires administered in clinics are a quick and simple way to determine public priorities for research in outpatient specialties like rheumatology, but the growing use of phone consultations may restrict access to these tools in the short- to medium-term.

PPI cannot be substituted for other methods, like as focus groups, individual interviews, and stakeholder involvement, which are always required to guarantee proper prioritization and relevance of research. Large-scale search query technologies, however, can get around some of the problems mentioned above. These freely accessible web resources have the capacity to compile and present keyword recommendations and forecasts derived from Google searches, which account for 78% of all internet queries. This method of summarizing searches can give a great picture of public concerns and questions on a certain topic, as Google is used for 3.5 billion searches per day [5]. They are already widely used in marketing to make sure that the material is current and relevant. One illustration of such a tool is "AnswerThePublic.com."which can retrieve information about queries and sentences typed into Google that contain specific keywords (as input by the user into the program), Finding search trends and popular terms is made easier with the results displayed in both tabular and graphical formats.

In the healthcare industry, search query tools can be used to verify preexisting knowledge from PPI and clinician perceptions. They can also be used to uncover searches on more delicate subjects, like the psychological effects of rheumatoid arthritis and opioid dependence, which patients may not feel comfortable discussing in person.

We used rheumatoid arthritis as an example rheumatic disease to show the value of a search query tool to supplement PPI in rheumatic diseases.

Techniques

We compiled and mapped Google searches for the phrases "arthritis" and "rheumatoid arthritis" using an open-source search query tool. Because "AnswerThePublic.com" is so user-friendly and produces answers in a visually appealing format, we decided to use it. Results are current at the moment of using the search query tool because Google presents data on searches in real-time. One author searched for the selected terms since the results are the same at any given time, regardless of who is searching. Google searches in the area in which it is accessed (e.g., the UK) form the basis for search queries; so, variables like the user's own Google search history are unimportant.

In order to get a general sense of public inquiries on one of the most often used phrases in rheumatology—a term that is also used by patients and the general public—we first looked into public Google searches for "arthritis." Next, using "rheumatoid arthritis" as an example of a rheumatic condition, we evaluated search suggestions. Since rheumatoid arthritis is the most common chronic inflammatory arthritis, it is likely to be a term that is frequently searched for in this subject [7]. Every search was carried out on May 19, 2020.

The output of the results for the two aforementioned inquiries fell into the following categories: term-specific questions; prepositional searches (i.e., searches that include extra terms like "with" and "near"); and comparisonal searches (i.e., searches that include extra terms like "and" and "versus"). Both lists and data visualization graphics were used to display the results. Interrogation of English-only search query data for the United Kingdom was conducted.

Outcomes

As an example of the output generated by the search query tool, Figure 1 shows the results for search terms related to queries on "arthritis," with up to eight of the most popular terms displayed for each. Darker branches indicate more popular search phrases within each subcategory, whereas lighter stems indicate less popular search terms.


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