Evaluating Our Performance

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    Showcasing our Performance: The role of accurate, reliable and

    timely data

    Presented by Dachaga Oswald (Health Information Officer Wa Presented by Dachaga Oswald (Health Information Officer Wa

    @ ISTC - Wa@ ISTC - Wa

    2013 Regional Half Year Performance Review

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    Presentation Outline

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    Regional Profile

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    Definition of Concepts

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    Introduction Accurate, timely and reliable health care data playin the planning, development and maintenance of care services.

    Quality improvement and the timely dissemination data are essential if we wish to maintain health car

    optimal level.

    Providers of health care services need information not on

    point of servicebut also at the point of decision making

    that maximizes the decision-making process.

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    The Big Question

    How can we tell if we have done wbadly in the performance of our du

    Health care Providers?

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    Key Principles

    Whether we collect data on paper or in a computer, the data organized in such a way that we can understand and retrieve

    needed.

    The original data must be accurate in order to be useful. If daaccurate, then wrong impressions and information are being the user.

    The collection of the original source data must have in-built pensure that they meet the required quality standards.

    The clinical coding process begins with the source documentmedical/ health record, from which pertinent clinical informata patient is abstracted.

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    Importance of Data quality

    Determining the continuing and future care of a patient at all levels

    Medico-legal purposes for the patient, the doctor and the health car

    Clinical and health service research and outcomes of health care int

    required

    Accurate, reliable and complete statistical information about the uscare services within a community

    Teaching health care professionals and

    working out staffing requirements and planning health care services

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    Quality in Data Source and Collection Building quality into the process of data collection right fro

    beginning is one of the major foundations of the overall m

    quality control.

    Our primary source of data should provide accurate inform Who the patient is and who provided health care;

    What services were provided;

    When and where the services were provided;

    Why the services were provided;

    How effective the services were; and

    What the outcome was of care and treatment.

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    Causes of poor data collection

    Poorly designed data collection formswith no logical sequenc

    Inefficient clerical staff, lack of trainingin interviewing patierecording details, and lack of understanding of the need for ac

    collection

    Lack of professional judgmentby health care providers when

    about a patient and his or her treatment Delay in recording data when data are not recorded at the p

    with a patient

    Lack of understanding of requirements of data collection an

    by medical officers, nurses and other health care professionals

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    We cannot showcase our performance withthese tools

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    Overcoming data collection problems

    Educate all health care providers on the importance ofaccurate documentation of patient care data, emphas

    is important and the consequences of poor data qualit

    Information should be recorded at the time of consultprocedure, or as soon as available

    Develop and maintain standards for data collection usapproved reporting formats and registers across all fac

    Institute routine checks on data for accuracy, validity, legibility, completeness and accessibility in both manucomputerized systems.

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    Quality in Data reporting

    The production of accurate, reliable and timely statistical reports about th

    of the community is essential to identify risk factors associated with healt

    and need for, health services

    Questions that should be asked when determining the appropriateness of s

    include:

    Are the reports producing the type of information required by the heal

    district and the region?

    Are the reports being used?

    Are the reports accurate, reliable, meaningful and timely?

    Are data displayed in an appropriate manner enabling them to be revie

    How much of the report is not used?

    Could the reports be improved?

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    Causes of poor quality reports

    Incomplete and inaccurate original source data

    Insufficient data documented in health records

    Poorly designed data collection forms and poor database design in the com

    Inaccurate transfer of data onto statistical collection forms or errors in the

    Poor data transfer from one document to another r of data into a comput

    service

    Unreliable storage media and backup systems

    Lack of training of data collection staff

    Problems with data entry devices

    Paper records not available for data collection

    Lack of standard terms and formulae

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    Can we showcase the performance of this Hospital?

    The bed occupancy rate is shown as 110% when ideshould be between 85% and 90%. Have incorrect fi

    used to calculate the rate? Or has the facility addethe correct figure for the number of beds not been

    The maternal death rate is shown as 20%, could the

    point have been omitted so that the figure should bthere been an error in the calculation? Or has the formula been used?

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    Completeness of Reports Jan-Jun13

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    District Performance in Timeliness Jan-Jun13

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    Reliability?

    Can we Rely on theseCan we Rely on theseincomplete and late data to tellincomplete and late data to tellif we are doing well or badly?if we are doing well or badly?

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    Ways to improve quality in reporting Monitoring original data, such as ward census reports, discharge list

    medical/health records, lists of outpatient and clinic attendances, tare correct and received within an established time period.

    Follow-up procedures a procedure should be in place to enable stimmediately follow-up on missing reports and records

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    Improving Accuracy, reliability & timelines

    Data audit teams at all levels must be seen to be workingData audit teams at all levels must be seen to be working

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    Challenges

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    Way forward

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    Conclusion

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    Thank you