Criterion 5.1.3 VALIDATION OF INDICATOR DATA

Criterion 5.1.3

Validation and analysis of the results of quality indicator data collection were carried out as consideration in making decisions to improve Puskesmas quality and performance.

1) Main Thoughts:

a) The benefits and success of quality improvement programs can only be demonstrated if supported by the availability of valid data. Therefore, it is very important to carry out valid measurements of the specified indicators.

b) To ensure that the data from each quality indicator collected is valid and can be used for decision making in improving quality and conveying information about the quality of Puskesmas services to the community, data validation needs to be carried out.

c) Data validation is carried out when:

(1) there is a new indicator used;

(2) data will be displayed to the public through information media determined by the Community Health Center;

(3) there is a change in the indicator profile, for example a change in data collection tools, a change in the numerator or denominator, a change in the collection method, a change in data source, a change in the subject of data collection, and a change in the operational definition of the indicator;

(4) there is a change in measurement data for unknown reasons; And

(5) the data source changes, for example if part of the patient record is changed to electronic format so that the data source becomes electronic and paper; or the subject of data collection changes, for example changes in average patient age, adoption of new practice guidelines, or adoption of new technologies and treatment methodologies.

d) Validation of data from quality indicator measurement results is carried out by officers who are given responsibility for carrying out validation. However, in the event that there are limited personnel, the officer responsible for data validation may be concurrently the officer responsible for the indicators.

e) In order to reach a conclusion and make a decision, data must be combined, analyzed and transformed into useful information.

f) Data analysis involves individuals on the quality team who understand information management, have skills in data collection methods, and know how to use various statistical tools. The results of data analysis must be reported to the Head of the Community Health Center by the person in charge of quality who is responsible for the process and results measured as a basis for carrying out corrective follow-up.

g) Statistical techniques can be useful in the data analysis process, especially in interpreting variations and deciding areas that most need improvement. Run charts, control charts, histograms, and Pareto diagrams are examples of statistical methods that are very useful for understanding patterns and variations in health service performance.

h) Determining the frequency of data collection and analysis must take into account the need to improve the quality of service activities as outlined in the established indicator profile.

i) Data analysis can be done by:

(1) achievements are compared serially over time. Comparing data at Community Health Centers from time to time to see trends, for example PIS PK data from month to month or from year to year;

(2) achievements compared with predetermined targets. Comparing achievement data with targets that have been set periodically;

(3) achievements compared with the achievements of similar health service facilities. Compare with other health centers if possible with similar health centers;

(4) achievements are compared with standards and references that are classified as best practice or clinical practice guidelines. Compare it with the desired practice which in the literature is classified as best practice, better practice, or clinical practice guidelines.

j) As a public body, Puskesmas is obliged to provide public information that is accurate, correct and factual. Information about the performance of the Community Health Center is public information that needs to be conveyed to the public/community. Submitting information about the performance of the Community Health Center can encourage community participation and active role in health development in the work area of the Community Health Center.

2) Assessment Elements:

a) Data validation is carried out on the results of indicator data collection as requested in the Main Thoughts (D,O,W).

b) Data analysis was carried out as stated in Main Ideas (D,W).

c) A follow-up plan is prepared based on the results of the analysis in the form of a quality improvement program. (R,D,W)

d) Follow-up and evaluation of the quality improvement program in letter c is carried out. (D,W)

e) Reporting of quality indicators is carried out to the head of the community health center and the district/city regional health service in accordance with established procedures (D, W).