Diabetic patient identity identification evaluation system and method

Abstract

The invention relates to the technical field of medical care information, in particular to a diabetic identity identification evaluation system and method. Comprising the following steps: S1, constructing a general evaluation tool; s2, perfecting a general evaluation tool; initial evaluation questionnaire entries are extracted, modification suggestions are obtained by adopting a Delphi method, and the initial evaluation questionnaire entries are adjusted; s3, pre-evaluation is carried out; s4, generating a personalized evaluation tool; extracting the pre-evaluation content for induction and summarization, and optimizing the initial evaluation questionnaire entry scoring rule to obtain a personalized evaluation tool; s5, data arrangement and analysis; based on a personalized evaluation tool, evaluation is completed, evaluation data are sorted and analyzed, and an evaluation report is generated. Through multi-angle starting, including patient analysis, expert consultation and prediction evaluation adjustment, a personalized evaluation tool is generated, so that evaluation items are more accurate, and the mined information better fits the patient.

Description

Technical Field

[0001] The present invention relates to the field of medical care information technology, and in particular to a diabetic patient identity assessment system and method. Background Art

[0002] Type 1 diabetes mellitus (T1 DM) is an autoimmune disease. It refers to a metabolic disease characterized by increased blood sugar due to the destruction of pancreatic β cells and absolute insulin deficiency caused by multiple factors such as viral infection, drug exposure, and autoimmunity in genetically susceptible individuals.

[0003] Disease identity refers to the patient's ability to accept the diabetes condition and its related treatment, disclose the diabetes condition and / or diabetes knowledge to others, and have no obvious shame, embarrassment or concealment of the diabetes status; although the conceptual descriptions of disease identity vary, the basic concepts are the same, all referring to how an individual views the disease and its treatment, and how he or she views himself or herself as a person with a chronic disease; striving for self-management and having a good disease identity are important measures to achieve good blood sugar control goals.

[0004] For adolescent T1DM patients, the impact of psychological and behavioral characteristics is particularly important during adolescence. Since chronic diseases affect the normal development of adolescents, they will deny the disease to protect themselves. If patients cannot coexist with the disease, their behaviors may be unconsciously aggressive and destructive. Therefore, how to resolve the treatment dilemma faced by adolescent T1DM patients from the perspective of their psychological and behavioral characteristics is a topic that medical staff urgently need to discuss.

[0005] Currently, the commonly used tools for assessing illness identity include: Illness Self-Concept Scale (ISCS), Illness Identity Questionnaire (IIQ), Illness Relationship Identity Scale (Relative Identity), and Acceptance of Diabetes and Personal Treatment (ADAPT) Survey.

[0006] The Chinese patent with publication number CN108154918A discloses a diabetes patient assessment and management system based on big data analysis. The diabetes patient assessment system based on big data analysis includes: understanding the patient's lifestyle, evaluating the clinical manifestations of diabetes, understanding the patient's laboratory test results, and evaluating the patient's knowledge level. The beneficial effects are: it can reflect real-time blood sugar levels, evaluate pre-meal and post-meal hyperglycemia, and the effects of life events such as exercise, meals, exercise, emotional stress, and hypoglycemic drugs on blood sugar, evaluate the effect of diabetes treatment, and detect hypoglycemia in time, which is helpful for patients to formulate individualized lifestyle interventions and optimize drug intervention plans, and improve the effectiveness and safety of treatment; on the other hand, it can help diabetic patients better understand their disease status and manage their fellow patients more effectively.

[0007] However, the above commonly used tools and existing technologies still have the following problems: the disease identity questionnaires are mostly based on the patient's perspective and mostly consider it from a single perspective, and have not formed a comprehensive evaluation tool for disease identity identification in adolescent T1DM patients; some questionnaires are not quantified, which is not conducive to accurately analyzing the degree of disease identity identification in adolescent T1DM patients. Summary of the invention

[0008] To achieve the purpose of the present invention, the present invention is implemented by the following technical scheme: a method for evaluating the identity of a diabetic patient, comprising the following steps:

[0009] S1. Construct a general evaluation tool; based on literature database retrieval, determine the initial dimensions of the evaluation questionnaire, set scoring rules, and generate the initial evaluation questionnaire;

[0010] S2. Improve the general assessment tool; extract the initial assessment questionnaire items, use the Delphi method to obtain modification opinions, and adjust the initial assessment questionnaire items;

[0011] S3, prediction and evaluation: cluster analysis of patients based on personal characteristics and disease characteristics, and select small samples from different clusters for prediction and evaluation;

[0012] S4, generate a personality assessment tool; extract the predicted assessment content for induction and summary, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool;

[0013] S5. Data collation and analysis: Complete the assessment based on the personality assessment tool and organize and analyze the assessment data to generate an assessment report.

[0014] Furthermore, the initial dimensions of the assessment questionnaire include: personal framework, relationship framework, implementation framework, and public framework;

[0015] The personal framework described is self-definition, which refers to the way individuals define themselves;

[0016] The relational framework is the influence of social relations on identity, including shaping one's identity based on the views of others, people define themselves based on their relationships with others, and identity exists in the connection between each other;

[0017] The implementation framework described is presenting one’s identity, which refers to the way one displays one’s identity to others through behavior;

[0018] The common framework is identity priority, which refers to the importance weight of multiple identities relative to others.

[0019] Furthermore, the scoring rules include positive scoring and directional scoring, and the Likert 5-level scoring method is used for scoring. The higher the score, the higher the degree of disease identity recognition.

[0020] Furthermore, the specific steps of S2 include:

[0021] S21, extracting the initial evaluation questionnaire items to form an item pool, and creating a letter inquiry form from the item pool;

[0022] S22. Screen experts; select experts in three fields: diabetes medical care, diabetes nursing, and psychology. The number of experts in each field is the same, and the total number of experts is 15-21;

[0023] S23. Questionnaire item analysis: After at least 2 rounds of consultation, the item correlation values, mean values ​​and coefficient of variation were analyzed. The criteria for item cancellation are as follows:

[0024] M j <4.0∩CV≥0.25

[0025] Among them, M j The correlation is assigned the mean and CV is the coefficient of variation.

[0026] Furthermore, the personality assessment tool increases scoring weights, including dimension weights and item weights; and the personalized assessment is completed by adjusting the weight values.

[0027] Furthermore, the pre-evaluation includes interviews and initial questionnaire evaluation, and the specific steps include:

[0028] S41, obtain the interview records, extract keywords simultaneously, and evaluate the scores of corresponding items according to the keywords;

[0029] S42, conduct an initial questionnaire assessment and obtain personal scores;

[0030] S43, comparing the score differences and extracting the differences exceeding the set threshold;

[0031] S44, establishing a mapping relationship between personal characteristics and disease characteristics and items, and obtaining difference characteristics based on the items corresponding to the difference values;

[0032] S44. Adjust the weight value based on the difference feature to complete the construction of the personality assessment tool.

[0033] Furthermore, the specific steps of adjusting the weight value based on the difference feature include:

[0034] S441, confirm the influence factor of the difference feature on the item;

[0035] S442. Calculate the weight adjustment value based on the impact factor and the difference. The calculation formula is as follows:

[0036] Δk ij =α×C

[0037] Among them, α is the influence factor, and C is the difference size;

[0038] S443. If the weight value of the i-th dimension increases, the weight values ​​of the remaining dimensions decrease evenly, and the sum of the decrease values ​​is equal to the increase value.

[0039] Furthermore, the personal characteristics include: gender, age, education level, family relationships, social relationships, and personality; the disease characteristics include: treatment methods and course of disease.

[0040] The present invention also includes a diabetic patient identity assessment system, comprising:

[0041] The evaluation tool construction module determines the initial dimensions of the evaluation questionnaire, sets the scoring rules, and generates the initial evaluation questionnaire based on the literature database search;

[0042] The opinion processing module is used to obtain expert opinions, analyze the mean and coefficient of variation of item relevance assignments, and improve the initial evaluation questionnaire items;

[0043] A personality assessment tool generation module is used to calculate weight values ​​and weight change values, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool;

[0044] The prediction and evaluation module is used to collect prediction and evaluation interview data, analyze the data and generate item scores, calculate the difference with the personal score, and obtain the weight adjustment value;

[0045] Central processing module, used for data collation and analysis, and generating evaluation reports;

[0046] The collection end is used to input personal information to obtain personality assessment tools, complete assessment scoring and upload assessment data.

[0047] The beneficial effects of the present invention are:

[0048] 1. Generate a personality assessment tool from multiple perspectives, including patient analysis, expert consultation, and predictive assessment adjustment, so that the assessment items are more accurate and the information mined is more in line with the patient himself, thus forming a comprehensive evaluation tool for disease identity recognition of adolescent T1 DM patients;

[0049] 2. By setting scoring rules, the questionnaire was quantified to accurately analyze the degree of disease identity recognition of adolescent T1 DM patients;

[0050] 3. Through predictive evaluation analysis, the weight values ​​with large differences are adjusted to make the scoring rules of the evaluation more closely related to the patients themselves, further improving the accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the method flow of the present invention; DETAILED DESCRIPTION

[0052] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with examples. The examples are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0053] Embodiment 1

[0054] according to Figure 1 As shown, this embodiment provides a method for evaluating the identity of a diabetic patient, comprising the following steps:

[0055] S1. Construct a general evaluation tool; based on literature database retrieval, determine the initial dimensions of the evaluation questionnaire, set scoring rules, and generate the initial evaluation questionnaire;

[0056] S2. Improve the general assessment tool; extract the initial assessment questionnaire items, use the Delphi method to obtain modification opinions, and adjust the initial assessment questionnaire items;

[0057] S3, prediction and evaluation: cluster analysis of patients based on personal characteristics and disease characteristics, and select small samples from different clusters for prediction and evaluation;

[0058] S4, generate a personality assessment tool; extract the predicted assessment content for induction and summary, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool;

[0059] S5. Data collation and analysis: Complete the assessment based on the personality assessment tool and organize and analyze the assessment data to generate an assessment report.

[0060] More specifically, the initial dimensions of the assessment questionnaire include: personal framework, relationship framework, implementation framework, and public framework;

[0061] The personal framework described is self-definition, which refers to the way individuals define themselves;

[0062] The relational framework is the influence of social relations on identity, including shaping one's identity based on the views of others, people define themselves based on their relationships with others, and identity exists in the connection between each other;

[0063] The implementation framework described is presenting one’s identity, which refers to the way one displays one’s identity to others through behavior;

[0064] The common framework is identity priority, which refers to the importance weight of multiple identities relative to others.

[0065] More specifically, the scoring rules include positive scoring and directional scoring, and the Likert 5-level scoring method is used for scoring. The higher the score, the higher the degree of disease identity recognition.

[0066] More specifically, the specific steps of S2 include:

[0067] S21, extracting the initial evaluation questionnaire items to form an item pool, and creating a letter inquiry form from the item pool;

[0068] S22. Screen experts; select experts in three fields: diabetes medical care, diabetes nursing, and psychology. The number of experts in each field is the same, and the total number of experts is 15-21;

[0069] S23. Questionnaire item analysis: After at least 2 rounds of consultation, the item correlation values, mean values ​​and coefficient of variation were analyzed. The criteria for item cancellation are as follows:

[0070] M j <4.0∩CV≥0.25

[0071] Among them, M j The correlation is assigned the mean and CV is the coefficient of variation.

[0072] More specifically, the personality assessment tool increases scoring weights, including dimension weights and item weights; and completes personalized assessment by adjusting weight values.

[0073] More specifically, the scoring weight formula is as follows:

[0074]

[0075]

[0076] Among them, ω i is the dimension weight, k ij is the item weight, n i is the number of entries in dimension i, j = 1, 2, ... n i , is the dimension weight balancing function, is the empirically derived mean weight of dimension i, and ε is the set deviation threshold.

[0077] More specifically, the pre-evaluation includes interviews and initial questionnaire evaluation, and the specific steps include:

[0078] S41, obtain the interview records, extract keywords simultaneously, and evaluate the scores of corresponding items according to the keywords;

[0079] S42, conduct an initial questionnaire assessment and obtain personal scores;

[0080] S43, comparing the score differences and extracting the differences exceeding the set threshold;

[0081] S44, establishing a mapping relationship between personal characteristics and disease characteristics and items, and obtaining difference characteristics based on the items corresponding to the difference values;

[0082] S44. Adjust the weight value based on the difference feature to complete the construction of the personality assessment tool.

[0083] More specifically, the specific steps of adjusting the weight value based on the difference feature include:

[0084] S441, confirm the influence factor of the difference feature on the item;

[0085] S442. Calculate the weight adjustment value based on the impact factor and the difference. The calculation formula is as follows:

[0086] Δk ij =α×C

[0087] Among them, α is the influence factor, and C is the difference size;

[0088] S443. If the weight value of the i-th dimension increases, the weight values ​​of the remaining dimensions decrease evenly, and the sum of the decrease values ​​is equal to the increase value.

[0089] More specifically, the personal characteristics include: gender, age, education level, family relationships, social relationships, and personality; the disease characteristics include: treatment methods and course of disease.

[0090] Embodiment 2

[0091] A diabetic patient identity assessment system, comprising:

[0092] The evaluation tool construction module determines the initial dimensions of the evaluation questionnaire, sets the scoring rules, and generates the initial evaluation questionnaire based on the literature database search;

[0093] The opinion processing module is used to obtain expert opinions, analyze the mean and coefficient of variation of item relevance assignments, and improve the initial evaluation questionnaire items;

[0094] A personality assessment tool generation module is used to calculate weight values ​​and weight change values, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool;

[0095] The prediction and evaluation module is used to collect prediction and evaluation interview data, analyze the data and generate item scores, calculate the difference with the personal score, and obtain the weight adjustment value;

[0096] Central processing module, used for data collation and analysis, and generating evaluation reports;

[0097] The collection end is used to input personal information to obtain personality assessment tools, complete assessment scoring and upload assessment data.

[0098] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for evaluating the identity of a diabetic patient, characterized in that: The following steps are involved: S1. Build a general assessment tool; Based on the literature database search, determine the initial dimensions of the evaluation questionnaire, set the scoring rules, and generate the initial evaluation questionnaire; S2. Improve the general assessment tool; extract the initial assessment questionnaire items, use the Delphi method to obtain modification opinions, and adjust the initial assessment questionnaire items; S3, prediction and evaluation: cluster analysis of patients based on personal characteristics and disease characteristics, and select small samples from different clusters for prediction and evaluation; S4, generate a personality assessment tool; extract the predicted assessment content for induction and summary, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool; S5. Data collation and analysis: Complete the assessment based on the personality assessment tool and organize and analyze the assessment data to generate an assessment report.

2. A method for evaluating the identity of a diabetic patient according to claim 1, characterized in that: The initial dimensions of the assessment questionnaire include: personal framework, relationship framework, implementation framework, and public framework; The personal framework described is self-definition, which refers to the way individuals define themselves; The relational framework is the influence of social relations on identity, including shaping one's identity based on the views of others, people define themselves based on their relationships with others, and identity exists in the connection between each other; The implementation framework described is presenting one’s identity, which refers to the way one displays one’s identity to others through behavior; The common framework is identity priority, which refers to the importance weight of multiple identities relative to others.

3. A method for evaluating the identity of a diabetic patient according to claim 1, characterized in that: The scoring rules include positive scoring and directional scoring, and the Likert 5-point scoring method is used. The higher the score, the higher the degree of disease identity recognition.

4. A method for evaluating the identity of a diabetic patient according to claim 1, characterized in that: The specific steps of S2 include: S21, extracting the initial evaluation questionnaire items to form an item pool, and creating a letter inquiry form from the item pool; S22. Screen experts; select experts in three fields: diabetes medical care, diabetes nursing, and psychology. The number of experts in each field is the same, and the total number of experts is 15-21; S23. Questionnaire item analysis: After at least 2 rounds of consultation, the item correlation values, mean values ​​and coefficient of variation were analyzed. The criteria for item cancellation are as follows: M j <4.0∩CV≥0.25 Among them, M j The correlation is assigned the mean and CV is the coefficient of variation.

5. A method for evaluating the identity of a diabetic patient according to claim 1, characterized in that: The personality assessment tool increases scoring weights, including dimension weights and item weights; and the personalized assessment is completed by adjusting the weight values.

6. A method for evaluating the identity of a diabetic patient according to claim 5, characterized in that: The pre-evaluation includes interviews and initial questionnaire assessments, and the specific steps include: S41, obtain the interview records, extract keywords simultaneously, and evaluate the scores of corresponding items according to the keywords; S42, conduct an initial questionnaire assessment and obtain personal scores; S43, comparing the score differences and extracting the differences exceeding the set threshold; S44, establishing a mapping relationship between personal characteristics and disease characteristics and items, and obtaining difference characteristics based on the items corresponding to the difference values; S44. Adjust the weight value based on the difference feature to complete the construction of the personality assessment tool.

7. A method for evaluating the identity of a diabetic patient according to claim 6, characterized in that: The specific steps of adjusting the weight value based on the difference feature include: S441, confirm the influence factor of the difference feature on the item; S442. Calculate the weight adjustment value based on the impact factor and the difference. The calculation formula is as follows: Δk ij =α×C Among them, α is the influence factor, and C is the difference size; S443. If the weight value of the i-th dimension increases, the weight values ​​of the remaining dimensions decrease evenly, and the sum of the decrease values ​​is equal to the increase value.

8. A method for evaluating the identity of a diabetic patient according to claim 7, characterized in that: The personal characteristics include: gender, age, education level, family relationships, social relationships, and personality; the disease characteristics include: treatment methods and course of disease.

9. A diabetic patient identity assessment system, used to implement a diabetic patient identity assessment method as claimed in any one of claims 1 to 8, characterized in that: include: The evaluation tool construction module determines the initial dimensions of the evaluation questionnaire, sets the scoring rules, and generates the initial evaluation questionnaire based on the literature database search; The opinion processing module is used to obtain expert opinions, analyze the mean and coefficient of variation of item relevance assignments, and improve the initial evaluation questionnaire items; A personality assessment tool generation module is used to calculate weight values ​​and weight change values, optimize the scoring rules of the initial assessment questionnaire items, and obtain a personality assessment tool; The prediction and evaluation module is used to collect prediction and evaluation interview data, analyze the data and generate item scores, calculate the difference with the personal score, and obtain the weight adjustment value; Central processing module, used for data collation and analysis, and generating evaluation reports; The collection end is used to input personal information to obtain personality assessment tools, complete assessment scoring and upload assessment data.

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