CN113627748A - Statistical analysis method and device for health system questionnaire - Google Patents
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Abstract
The invention discloses a statistical analysis method for a health system questionnaire, which comprises the following steps: obtaining questionnaire information; calculating the correlation coefficient of each topic according to a preset formula; establishing a coordinate system and dividing the coordinate system into preset four-quadrant regions; setting all questions in the questionnaire on corresponding points in a coordinate system according to the average and correlation coefficient r values; and judging the position of the corresponding point of each question in the four-quadrant region, counting the number and proportion of the questions contained in each quadrant region, and calculating the satisfaction degree of the current investigation mechanism. According to the method and the device, the correlation coefficient of each question is obtained by calculating the average of each questionnaire and the specific score of each question according to a preset formula, and the question with a high influence factor and a low average score corresponding to the problem is listed as a problem which needs to be solved by the service mechanism at present, so that the service mechanism can improve the problem in a targeted manner, and the effect of improving the service quality is achieved.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of questionnaire analysis, in particular to a statistical analysis method, a statistical analysis device, a statistical analysis terminal and a computer-readable storage medium for questionnaires of a sanitation system.
[ background of the invention ]
In the service industry, such as the medical services of a health system, patient satisfaction reflects the quality of the various institutions of the health system in providing various types of medical treatment. Typically, a set of questionnaires containing multiple subjects is designed and then scored by multiple patients. Or the service structure is scored directly by the patient. However, the satisfaction statistical method sets the weight of each topic to be the same, and does not distinguish the weight of the topic (i.e. the influence degree on the satisfaction calculation), so that it is impossible to find out which aspect the patient has the greatest opinion about, and further the service organization cannot pertinently solve the problem to be solved through the result of the questionnaire.
In view of the above, it is desirable to provide a method, an apparatus, a terminal and a computer-readable storage medium for statistical analysis of a health system questionnaire to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention aims to provide a statistical analysis method, a statistical analysis device, a statistical analysis terminal and a computer-readable storage medium for questionnaires of a health system, and aims to solve the problem that the conventional service mechanism cannot effectively find out questions with larger influence on satisfaction degree through the questionnaires, and the problem that needs to be solved urgently is pertinently improved by the service mechanism through calculating the relevance coefficient of the questions, so that the service quality is improved.
In order to achieve the above object, an aspect of the present invention provides a statistical analysis method for a health system questionnaire, comprising the steps of:
obtaining questionnaire information; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question;
calculating the correlation coefficient of each topic according to a preset formula; wherein, the preset formula is as follows:
establishing a coordinate system and dividing the coordinate system into preset four-quadrant regions; the abscissa of the coordinate system is the average score of each topic in all questionnaires, and the ordinate is the correlation coefficient r value;
setting all questions in the questionnaire on corresponding points in the coordinate system according to the average and correlation coefficient r values;
and judging the position of the corresponding point of each question in the four-quadrant region, counting the number and proportion of the questions contained in each quadrant region, and calculating the satisfaction degree of the current investigation mechanism.
In a preferred embodiment, the method further comprises the following steps:
all questions in the questionnaire are classified according to outpatient service, emergency treatment and hospitalization, and the satisfaction degree of each category is calculated respectively.
In a preferred embodiment, the method further comprises the following steps:
classifying all questions in the questionnaire according to health institutions, and respectively calculating the satisfaction degree of each health institution.
In a preferred embodiment, the method further comprises the following steps:
acquiring questionnaire information of the current period of each health institution, and calculating the satisfaction degree of the current period of each health institution;
and generating a satisfaction degree change trend chart of each health mechanism according to the time sequence.
A second aspect of the present invention provides a health system questionnaire statistical analysis device, comprising:
the questionnaire acquisition module is used for acquiring questionnaire information; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question;
the correlation coefficient calculation module is used for calculating the correlation coefficient of each topic according to a preset formula; wherein, the preset formula is as follows:
the coordinate system establishing module is used for establishing a coordinate system and dividing the coordinate system into preset four-quadrant areas; the abscissa of the coordinate system is the average score of each topic in all questionnaires, and the ordinate is the correlation coefficient r value;
the coordinate system point tracing module is used for setting all questions in the questionnaire on corresponding points in the coordinate system according to the average and correlation coefficient r values;
and the satisfaction calculation module is used for judging the position of the corresponding point of each question in the four-quadrant region, counting the number and proportion of the questions contained in each quadrant region, and calculating the satisfaction of the current investigation mechanism.
In a preferred embodiment, the method further comprises:
and the category satisfaction calculation module is used for classifying all questions in the questionnaire according to outpatient service, emergency treatment and hospitalization and calculating the satisfaction of each category respectively.
In a preferred embodiment, the method further comprises:
and the mechanism satisfaction calculation module is used for classifying all questions in the questionnaire according to the health mechanisms and calculating the satisfaction of each health mechanism respectively.
In a preferred embodiment, the method further comprises:
the current period satisfaction degree calculating module is used for acquiring the questionnaire information of the current period of each health institution and calculating the satisfaction degree of the current period of each health institution;
and the satisfaction degree change generating module is used for generating a satisfaction degree change trend graph of each sanitation institution according to the time sequence.
The present invention also provides a terminal comprising a memory, a processor, and a health system questionnaire statistical analysis program stored in the memory and executable on the processor, wherein the health system questionnaire statistical analysis program, when executed by the processor, implements the steps of the health system questionnaire statistical analysis method according to any one of the above embodiments.
The present invention finally provides a computer-readable storage medium storing a health system questionnaire statistical analysis program which, when executed by a processor, implements the steps of the health system questionnaire statistical analysis method according to any one of the above embodiments.
According to the statistical analysis method for the questionnaires in the sanitation system, the correlation coefficient of each question is obtained by calculating the average score of each questionnaire and the specific score of each question according to a preset formula, namely the magnitude of the influence factor of the question on the score of the whole questionnaire; then establishing a four-quadrant regional coordinate system, placing the corresponding point of each question in the coordinate system, and calculating the satisfaction according to a preset satisfaction calculation rule by counting the corresponding points falling into each quadrant; meanwhile, the problem corresponding to the question with high influence factor and low average score can be listed as the problem which needs to be solved by the service mechanism at present, so that the service mechanism can improve the problem in a targeted manner, and the effect of improving the service quality is achieved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for statistical analysis of a health system questionnaire provided by the present invention;
FIG. 2 is one of the list mode diagrams of the four quadrant calculations of the method for statistical analysis of the health system questionnaire of FIG. 1;
fig. 3 is a block diagram of a health system questionnaire statistical analysis device provided by the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In an embodiment of the present invention, on one hand, a statistical analysis method for a health system questionnaire is provided, which is used for calculating the degree of influence of each question in the questionnaire on the questionnaire score, so as to find out the problem corresponding to the question with higher degree of influence and lower score, and facilitate the targeted improvement of a service organization, thereby improving the service quality.
As shown in FIG. 1, the health system questionnaire statistical analysis method includes the following steps S101-S105.
In step S101, questionnaire information is acquired; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question.
In particular, the questionnaire includes a set of questions, each of which can be individually scored by the patient. Types of subjects that can be evaluated for various health institutions (e.g., different hospitals, clinics, etc.), various departments (e.g., hospitalizations, outpatients, emergency services, etc.), various medical services (e.g., care services and timeliness, nurse/doctor politeness and respect, waiting times for in-line examinations, nurse/doctor explanation notices, nurse technical operations, doctor's medical levels, patient privacy protection, etc.), etc. can be designed. Each patient scored each topic of the questionnaire and then the scores were collected and collated. Thus, the number of questionnaires obtained is the number of patients who participated in the scoring.
In step S102, a correlation coefficient of each topic is calculated according to a preset formula; wherein, the preset formula is as follows:
In this step, the average score of all the questions in each set of questionnaire is calculated, i.e., the total score of all the questions is divided by the number of the questions, i.e., the average score of each questionnaire is obtained. When the correlation coefficient r of a certain topic needs to be calculated, the scores of the topic in all questionnaires are all listed, the calculation is carried out through the preset formula, and the obtained r value is the correlation coefficient of the topic. According to the calculated correlation coefficient, the value range of r is between 0 and 1, and the closer the value of r is to 1, the larger the influence factor of the theme on the final result is; conversely, the closer the value of r is to 0, the less significant the influence of the topic on the final topic is, and the more minor the influence is.
Therefore, by calculating the correlation coefficient for each topic, the importance of each topic in the entire questionnaire is determined, and the larger the influence factor is, the larger the amount of the problem represented by the topic is in the center of the patient, that is, the more important the patient is on the quality of the service represented by the topic.
In step S103, establishing a coordinate system and dividing the coordinate system into preset four-quadrant regions; wherein, the abscissa of the coordinate system is the average score of each subject in all questionnaires, and the ordinate is the correlation coefficient r value.
In this step, a coordinate system is established, and the coordinate system is divided into four quadrants by two preset axes perpendicular to each other. For example, the full score of each topic is 10, the average score of 6 is taken as a first axis, and the value of the correlation number r is 0.6 is taken as a second axis, so that the coordinate system is divided into four quadrants by the first axis and the second axis. The first quadrant is: the average value is (6,10), and the r value is (0.6,1), which indicates that the service represented by the topics in the region is the better advantage currently done by the service organization; a second quadrant: the average score is (0, 6), the r value is (0.6,1), which indicates that the service represented by the topics in the area is not good currently done by the service institution and the improvement part is needed by the patient in great interest, the average score is (0, 6), the r value is (0, 0.6), which indicates that the service represented by the area is not good currently done by the service institution but is not a secondary improvement part in great interest by the patient, and the average score is (6,10), the r value is (0, 0.6), which indicates that the service represented by the topics in the area is a better and better perfect improvement part with certain improvement on the satisfaction degree currently done by the service institution.
Therefore, each topic is classified, so that the service mechanism can visually find out the good, poor and very poor parts currently made by the service mechanism, the good service parts are maintained, the poor service parts are improved in a targeted mode, and the service quality is improved.
In step S104, all the questions in the questionnaire are set at corresponding points in the coordinate system according to the average and correlation coefficient r values.
In this step, all the topics of the entire set of questionnaires are dotted in the four-quadrant region, as shown in FIG. 2. FIG. 2 is one of the list mode diagrams of four-quadrant calculation, the left column is the topic ID number, the middle column is the average of the scores of all users (e.g., patients) who select the topic, and the right column is the correlation coefficient calculated for the changed topic; the rightmost side is the corresponding point relation between each question in the questionnaire and the coordinate system, so that the condition of the score and the correlation coefficient of a certain question can be visually seen, and the factor of the influence of the question on the satisfaction result can be seen according to the correlation coefficient and the score.
In step S105, the position of the corresponding point of each topic in the four-quadrant region is determined, the number and the ratio of the topics included in each quadrant region are counted, and the satisfaction of the current survey institution is calculated.
In this step, the calculation manner of the satisfaction degree may include various manners, for example, the proportion of the topics falling into the first quadrant to all the topics is used as the satisfaction degree; the proportion of the questions falling into the first quadrant and the fourth quadrant to all the questions can be used as the satisfaction degree; the four quadrants can also be set to different weights, and then weighted statistics is performed by combining the number of topics falling into each quadrant, so that a satisfaction degree is finally obtained, wherein the weight values of the topics falling into the third quadrant and the fourth quadrant can be set to negative values. Accordingly, the calculation mode of the dissatisfaction degree can be set. It can be obviously seen that the more the number of questions falling into the first quadrant, the higher the satisfaction, so that the service organization can improve each service in a targeted manner.
Further, in one embodiment, the method further comprises the steps of: all questions in the questionnaire are classified according to outpatient service, emergency treatment and hospitalization, and the satisfaction degree of each category is calculated respectively. In the step, the service types are subdivided, and the satisfaction degree result of each service subdivision class is calculated according to the steps, so that the service organization is pertinently improved for each department.
Further, in one embodiment, the method further comprises the steps of: all questions in the questionnaire are classified according to the health institutions, and the satisfaction degree of each health institution is calculated respectively. It can be understood that this step includes at least two implementations: firstly, the same set of questionnaires is independently investigated for each health institution, and then the satisfaction degree of the health institution is calculated according to the corresponding questionnaire scores; secondly, some questions aiming at each health institution are set in a set of questionnaires and then are classified, wherein the questions which do not distinguish the health institutions can be simultaneously merged into each health institution, and finally, the satisfaction degree calculation aiming at each health institution is carried out. Therefore, in the health system, the evaluation of all patients to each health institution can be seen, and the management institution carries out targeted supervision and improvement on the health institutions.
Further, in one embodiment, the method further comprises the steps of:
and acquiring questionnaire information of the current period of each health institution, and calculating the satisfaction degree of the current period of each health institution. Specifically, the questionnaire for the health institution may be performed by year, quarter, or month, and then the satisfaction evaluation of the corresponding time may be calculated.
And generating a satisfaction degree change trend chart of each health mechanism according to the time sequence. Specifically, a satisfaction degree coordinate system is established, the ordinate is satisfaction degree, the abscissa is time, the points corresponding to the satisfaction degree are connected in sequence, the satisfaction degree ascending and descending change of the health mechanism in a period of time can be visually seen, the service problems concerned by the patient are further known, and therefore the service quality is improved.
In summary, according to the statistical analysis method for the questionnaire of the sanitation system, the average of each questionnaire and the specific score of each question are calculated according to a preset formula to obtain the correlation coefficient of each question, namely the magnitude of the influence factor of the question on the score of the whole questionnaire; then establishing a four-quadrant regional coordinate system, placing the corresponding point of each question in the coordinate system, and calculating the satisfaction according to a preset satisfaction calculation rule by counting the corresponding points falling into each quadrant; meanwhile, the problem corresponding to the question with high influence factor and low average value can be listed as the problem which needs to be solved by the service mechanism at present, so that the service mechanism can pertinently improve the problem, and the effect of improving the service quality is achieved.
A second aspect of the present invention is to provide a statistical analysis device 100 for questionnaires in a health system, which is used for receiving questionnaire evaluations submitted by a patient, finding a subject with the greatest influence factor to which the patient is most interested, and further calculating the satisfaction degree of the patient to a health institution. It should be noted that the implementation principle and the implementation mode of the health system questionnaire statistical analysis device 100 are consistent with the above-mentioned health system questionnaire statistical analysis method, and therefore, the details are not described below.
As shown in fig. 2, the health system questionnaire statistical analysis device 100 includes:
a questionnaire acquisition module 10, configured to acquire questionnaire information; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question;
the correlation coefficient calculation module 20 is configured to calculate a correlation coefficient of each topic according to a preset formula; wherein, the preset formula is as follows:
a coordinate system establishing module 30, configured to establish a coordinate system and divide the coordinate system into preset four-quadrant regions; wherein the abscissa of the coordinate system is the average score of each subject in all questionnaires, and the ordinate is the correlation coefficient r value;
a coordinate system point drawing module 40, configured to set all questions in the questionnaire at corresponding points in a coordinate system according to the average and correlation coefficient r values;
and the satisfaction calculation module 50 is configured to determine a position where a corresponding point of each question falls in the four-quadrant region, count the number and proportion of the questions included in each quadrant region, and calculate the satisfaction of the current investigation mechanism.
Further, in one embodiment, the health system questionnaire statistical analysis device 100 further includes:
and a category satisfaction calculation module (not shown in the figure) for classifying all the questions in the questionnaire according to outpatient service, emergency treatment and inpatient service, and calculating the satisfaction of each category respectively.
Further, in one embodiment, the health system questionnaire statistical analysis device 100 further includes:
and the mechanism satisfaction calculation module (not shown in the figure) is used for classifying all questions in the questionnaire according to the hygiene mechanisms and calculating the satisfaction of each hygiene mechanism respectively.
Further, in one embodiment, the health system questionnaire statistical analysis device 100 further includes:
a current satisfaction calculating module (not shown in the figure) for acquiring the current survey questionnaire information of each health institution and calculating the satisfaction of each health institution in the current period;
and the satisfaction degree change generating module (not shown in the figure) is used for generating a satisfaction degree change trend graph of each health mechanism according to the time sequence.
In a further aspect, the present invention provides a terminal, which includes a memory, a processor, and a health system questionnaire statistical analysis program stored in the memory and operable on the processor, wherein the health system questionnaire statistical analysis program, when executed by the processor, implements the steps of the health system questionnaire statistical analysis method according to any one of the above embodiments.
The present invention also provides a computer-readable storage medium, in which a health system questionnaire statistical analysis program is stored, and when executed by a processor, the health system questionnaire statistical analysis program implements the steps of the health system questionnaire statistical analysis method according to any one of the above embodiments.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned functional units and modules are illustrated as being divided, and in practical applications, the above-mentioned functions may be distributed as different functional units and modules according to needs, that is, the internal structure of the apparatus may be divided into different functional units or modules to complete all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in the form of a hardware or a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described or recited in detail in a certain embodiment, reference may be made to the descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the elements and method steps of the various embodiments described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system or apparatus/terminal device and method can be implemented in other ways. For example, the above-described system or apparatus/terminal device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The invention is not limited solely to that described in the specification and embodiments, and additional advantages and modifications will readily occur to those skilled in the art, so that the invention is not limited to the specific details, representative apparatus, and illustrative examples shown and described herein, without departing from the spirit and scope of the general concept as defined by the appended claims and their equivalents.
Claims (10)
1. A statistical analysis method for a health system questionnaire is characterized by comprising the following steps:
obtaining questionnaire information; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question;
calculating the correlation coefficient of each topic according to a preset formula; wherein, the preset formula is as follows:
establishing a coordinate system and dividing the coordinate system into preset four-quadrant regions; the abscissa of the coordinate system is the average score of each topic in all questionnaires, and the ordinate is the correlation coefficient r value;
setting all questions in the questionnaire on corresponding points in the coordinate system according to the average and correlation coefficient r values;
and judging the position of the corresponding point of each question in the four-quadrant region, counting the number and proportion of the questions contained in each quadrant region, and calculating the satisfaction degree of the current investigation mechanism.
2. The method for statistical analysis of a health system questionnaire of claim 1, further comprising the steps of:
all questions in the questionnaire are classified according to outpatient service, emergency treatment and hospitalization, and the satisfaction degree of each category is calculated respectively.
3. The method for statistical analysis of a health system questionnaire of claim 1, further comprising the steps of:
classifying all questions in the questionnaire according to health institutions, and respectively calculating the satisfaction degree of each health institution.
4. The method for statistical analysis of a health system questionnaire of claim 1, further comprising the steps of:
acquiring questionnaire information of the current period of each health institution, and calculating the satisfaction degree of the current period of each health institution;
and generating a satisfaction degree change trend chart of each health mechanism according to the time sequence.
5. A health system questionnaire statistical analysis device, characterized by comprising:
the questionnaire acquisition module is used for acquiring questionnaire information; the questionnaire information comprises health institutions, survey time, questionnaire quantity, question information and score information of each question;
the correlation coefficient calculation module is used for calculating the correlation coefficient of each topic according to a preset formula; wherein, the preset formula is as follows:
the coordinate system establishing module is used for establishing a coordinate system and dividing the coordinate system into preset four-quadrant areas; the abscissa of the coordinate system is the average score of each topic in all questionnaires, and the ordinate is the correlation coefficient r value;
the coordinate system point tracing module is used for setting all questions in the questionnaire on corresponding points in the coordinate system according to the average and correlation coefficient r values;
and the satisfaction calculation module is used for judging the position of the corresponding point of each question in the four-quadrant region, counting the number and proportion of the questions contained in each quadrant region, and calculating the satisfaction of the current investigation mechanism.
6. The health system questionnaire statistical analysis device of claim 5, further comprising:
and the category satisfaction calculation module is used for classifying all questions in the questionnaire according to outpatient service, emergency treatment and hospitalization, and calculating the satisfaction of each category respectively.
7. The health system questionnaire statistical analysis device of claim 5, further comprising:
and the mechanism satisfaction calculation module is used for classifying all questions in the questionnaire according to the health mechanisms and calculating the satisfaction of each health mechanism respectively.
8. The health system questionnaire statistical analysis method of claim 5, further comprising:
the current period satisfaction degree calculating module is used for acquiring the questionnaire information of the current period of each health institution and calculating the satisfaction degree of the current period of each health institution;
and the satisfaction degree change generating module is used for generating a satisfaction degree change trend graph of each sanitation institution according to the time sequence.
9. A terminal, characterized in that the terminal comprises a memory, a processor and a health system questionnaire statistical analysis program stored in the memory and executable on the processor, the health system questionnaire statistical analysis program, when executed by the processor, implementing the steps of the health system questionnaire statistical analysis method of any of claims 1-4.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a sanitation system questionnaire statistical analysis program which, when executed by a processor, implements the steps of the sanitation system questionnaire statistical analysis method according to any one of claims 1 to 4.
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