OECD Primary Health Care Services Effectiveness Indicators

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This dataset contains internationally comparable indicators of the effectiveness of primary care for country members of OECD (The Organization for Economic Co-operation and Development) and for countries in accession negotiations with OECD. The indicators values cover the period 2000-2015.

Complexity

The data is provided by OECD (The Organization for Economic Co-operation and Development) whose mission is to promote policies that will improve the economic and social well-being of people around the world. OECD’s work is based on continued monitoring of events in member countries as well as outside OECD area, and includes regular projections of short and medium-term economic developments. The OECD Secretariat collects and analyses data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The OECD Health Datasets offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems.

Capturing the patients’ perspective of health care is becoming increasingly important as health systems strive to be more responsive to the needs of the people using their services. The HCQI (Health Care Quality Indicators) project has identified measurement of patient experiences as a priority for indicator development and quality improvement. To explore the possibilities for cross-national comparison of patient experiences, the OECD commissioned the Norwegian Knowledge Centre for the Health Services to perform a review of the use of national and international surveys to measure patient experiences. Based on this review and the outcomes of further consultation with country experts, academics in the field and key international partners, the HCQI project developed a population-based survey, and undertook the cognitive testing of the questionnaire and a pilot data collection. Patient experience indicators have been collected for international reporting. The HCQI project continues to focus on learning and sharing developments on national systems for measuring and reporting patient experiences including Patient-Reported Outcome Measures (PROMs) and experiences with integrated care and safety and to improve quality of indicators for international reporting. This work moved forward in collaboration with key organizations and country experts, including the Commonwealth Fund and the WHO.

Through the use of a structured expert review process, the HCQI project initially identified rates of avoidable admissions for long-term conditions and rates of lower limb amputation in diabetics as valid, internationally comparable indicators of the quality of primary care. Further indicators on the quality and safety of prescribing in primary care have subsequently been developed.

According to the methodology used to calculate the indicators for all indicators belonging to Avoidable hospital admissions group of indicators were included cases with the specified ICD-10 codes and excluded the following:

– Cases where the patient died in hospital during the admission
– Cases resulting from a transfer from another acute care institution
– Cases with Medicare Severity Diagnosis Related Group (MDC) 14 or specified pregnancy, childbirth, and puerperium codes in any field
– Cases with MDC 15 or specified Newborn and other neonates codes in any field
– Cases with cystic fibrosis and anomalies of the respiratory system diagnosis code in any field
– Cases that are same day/day only admissions

For prescription related indicators below are detailed methods used to calculate the indicators.

Cholesterol lowering medication for diabetic patients:

– Numerator: number of people who are long-term users of glucose regulating medication (A10B) with concomitant use of ≥ 1 prescription of cholesterol lowering medication (C10); the codes belong to the Anatomical Therapeutic Chemical Classification System (ATC)
– Denominator: number of people who are long-term users of glucose regulating medication (A10B) in the database

Number of people who are long-term users of glucose regulating medication (A10B) are defined as individuals who use >270 Defined Daily Doses (DDD) of A10B per year.

Antihypertensive medication of first choice for diabetic patients:

– Numerator: number of people who are long-term users of glucose regulating medication (A10B) with concomitant use of ≥ 1 prescription angiotensin converting enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) (C09, C10BX04, C10BX06, C10BX07, C10BX10, C10BX11)

– Denominator: number of people who are long-term users of glucose regulating medication (A10B) with concomitant use of ≥ 1 prescription antihypertensives (ATC-C02) or diuretics (ATC C03) or betablockers (ATC C07) or calcium channel blockers (C08) or angiotensin converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) (C09) or C10BX03 or C10BX04, or C10BX06, or C10BX07, or C10BX09, or C10BX10 or C10BX11

Number of people who are long-term users of glucose regulating medication (A10B) are defined as individuals who use >270 Defined Daily Doses (DDD) of A10B per year.

Long-term benzodiazepines or related drugs:

– Numerator: number of individuals ≥ 65 years of age at 1 January for each year, with > 365 DDDs of benzodiazepines (N05BA or N05CD or N05CF) prescribed in the year
– Denominator: number of individuals ≥ 65 years of age at 1 January for each year

Long-acting benzodiazepines or related drugs:

– Numerator: number of individuals ≥ 65 years of age at 1 January for each year, with ≥ 1 prescription long acting benzodiazepines (N05BA01, N05BA02, N05BA05, N05BA08, N05BA11, N05CD01, N05CD02, N05CD03, N05CD10)
– Denominator: number of individuals ≥ 65 years of age at 1 January for each year

Antibiotics for systemic use:

– Numerator: sum DDD of all ATC J01 prescriptions
– Denominator: population at 1 January

Second line antibiotics:

– Numerator: sum DDDs of all ATC J01D and J01M prescriptions
– Denominator: sum DDDs of all ATC J01 prescriptions

Long-term anticoagulating drug in combination with an oral NSAID:

– Numerator: number of individuals who are long-term users of anticoagulating drugs acenocoumarol (B01AA07) or warfarin (B01AA03) or phenprocoumon (B01AA04) or dabigatran (B01AE07) or rivaroxaban (B01AF01) or apixaban (B01AF02) with concomitant use of ≥ 1 prescription of NSAID (M01A or M01B)
– Denominator: number of individuals who long-term users of ATC-codes acenocoumarol (B01AA07) or warfarin (B01AA03) or phenprocoumon (B01AA04) or dabigatran (B01AE07) or rivaroxaban (B01AF01) or apixaban (B01AF02)

Individuals who are long-term users of anticoagulating drugs are defined as individuals who use >270 Defined Daily Doses (DDD) of the B01A codes listed above.

Breaks in the time-related continuity of data on which the calculated indicators values are based are specified in the content of dataset. There are also specified the cases were the methodology used for data collection was different (deviations).

Date Created

2017-11-10

Last Modified

2017-11-10

Version

2017-11-10

Update Frequency

Irregular

Temporal Coverage

2000-2015

Spatial Coverage

OECD Members and Partners Countries

Source

John Snow Labs => The Organization for Economic Co-operation and Development

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

OECD Health Care Indicators, Primary Health Care Services, Health Care Performance, Primary Care Effectiveness, Avoidable Hospital Admissions, Primary Care Of Diabetes, Benzodiazepines In Elderly, Anticoagulant Medication, Antibiotic Prescribing

Other Titles

OECD Countries Primary Health Care Performance Indicators, OECD Avoidable Hospital Admissions And Primary Care Prescriptions Data

Name Description Type Constraints
YearThe year corresponding to the specified health care services indicator value for a countrydaterequired : 1
CountryThe name of the country member OECD or in accession negotiations with OECDstringrequired : 1
Country_AbbreviationThe abbreviated name of the country member of OECD or in accession negotiations with OECDstringrequired : 1
Country_StatusSpecifies whether the country is member or partner of OECD or has an accession agreement with OECDstringenum : Array required : 1
Indicator_CategorySpecifies a group of indicators related to the effectiveness of primary health care servicesstringenum : Array required : 1
IndicatorSpecifies the primary health care services effectiveness indicatorstringrequired : 1
Disease_ICD_10_CodesSpecifies the disease ICD-10 codes described in the indicator measurement methodologystring-
GenderSpecifies the gender of the demographic group for which the indicator is measuredstringenum : Array required : 1
AgeSpecifies the age of the demographic group for which the indicator is measuredstringenum : Array required : 1
Measurement_MethodDescribes how the indicator is measuredstringrequired : 1
Indicator_ValueThe estimated value of the indicator for the specified population group, year and countrynumberlevel : Ratio
Upper_Value_95_Confidence_LevelThe upper value of the 95% confidence interval of the estimated value of the indicatornumberlevel : Ratio
Lower_Value_95_Confidence_LevelThe lower value of the 95% confidence interval of the estimated value of the indicatornumberlevel : Ratio
Additional_NotesAdditional information related to the indicator value or measurementstring-
YearCountryCountry_AbbreviationCountry_StatusIndicator_CategoryIndicatorDisease_ICD_10_CodesGenderAgeMeasurement_MethodIndicator_ValueUpper_Value_95_Confidence_LevelLower_Value_95_Confidence_LevelAdditional_Notes
2007SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed9.7
2008SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed9.1
2009SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed9.2
2010SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed8.9
2011SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed8.8
2011KoreaKOROECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed34.3
2012KoreaKOROECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed35.0
2012NorwayNOROECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed5.6
2012SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed8.5
2013SwedenSWEOECD memberVolume of antibiotics prescribedSecond line antibioticsMalesAll agesPercentage of all antibiotics prescribed8.5