Database schema:

CREATE TABLE "Answer" (
	"AnswerText" TEXT -- example: ['44', '37'],
	"SurveyID" INTEGER -- example: ['2014', '2016'],
	"UserID" INTEGER -- example: ['2', '1'],
	"QuestionID" INTEGER -- example: ['2', '1'],
	PRIMARY KEY ("UserID", "QuestionID"), 
	CONSTRAINT fk_answer_question FOREIGN KEY("QuestionID") REFERENCES "Question" (questionid),
	CONSTRAINT fk_answer_survey FOREIGN KEY("SurveyID") REFERENCES "Survey" ("SurveyID")
)


CREATE TABLE "Question" (
	questiontext TEXT -- example: ['What is your age?', 'What is your gender?'],
	questionid INTEGER -- example: ['2', '1'],
	PRIMARY KEY (questionid)
)


CREATE TABLE "Survey" (
	"SurveyID" INTEGER -- example: ['2014', '2016'],
	"Description" TEXT -- example: ['mental health survey for 2014', 'mental health survey for 2016'],
	PRIMARY KEY ("SurveyID")
)

Question: What is the rate of increase of users with a current mental disorder from 2019's survey to 2016's survey?
Evidence: rate of increase = subtract(divide(count(SurveyID = 2019& QuestionID = 33& AnswerText = 'Yes'), count(SurveyID = 2019& QuestionID = 33)), divide(count(SurveyID = 2016& QuestionID = 33& AnswerText = 'Yes'), count(SurveyID = 2016& QuestionID = 33)))

SQL:
SELECT CAST(( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2019 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) - ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) AS REAL) * 100 / ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' )