Extracting general practice data for timely vaccine coverage estimates: The England experience
In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Edelstein, Michael [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
5 |
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| Übergeordnetes Werk: |
Enthalten in: Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement - Li, Yaoyao ELSEVIER, 2022, Amsterdam |
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| Übergeordnetes Werk: |
volume:35 ; year:2017 ; number:38 ; day:12 ; month:09 ; pages:5110-5114 ; extent:5 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.vaccine.2017.08.015 |
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ELV025246062 |
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| 520 | |a In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. | ||
| 520 | |a In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. | ||
| 650 | 7 | |a Primary health care |2 Elsevier | |
| 650 | 7 | |a Vaccination |2 Elsevier | |
| 650 | 7 | |a England |2 Elsevier | |
| 650 | 7 | |a Data collection |2 Elsevier | |
| 650 | 7 | |a Information systems |2 Elsevier | |
| 700 | 1 | |a Crocker-Buque, Tim |4 oth | |
| 700 | 1 | |a Tsang, Camille |4 oth | |
| 700 | 1 | |a Eugenio, Odette |4 oth | |
| 700 | 1 | |a Hopson, Tim |4 oth | |
| 700 | 1 | |a Pebody, Richard |4 oth | |
| 700 | 1 | |a Ramsay, Mary |4 oth | |
| 700 | 1 | |a White, Joanne M |4 oth | |
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10.1016/j.vaccine.2017.08.015 doi GBV00000000000257A.pica (DE-627)ELV025246062 (ELSEVIER)S0264-410X(17)31082-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 VZ 48.00 bkl Edelstein, Michael verfasserin aut Extracting general practice data for timely vaccine coverage estimates: The England experience 2017transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. Primary health care Elsevier Vaccination Elsevier England Elsevier Data collection Elsevier Information systems Elsevier Crocker-Buque, Tim oth Tsang, Camille oth Eugenio, Odette oth Hopson, Tim oth Pebody, Richard oth Ramsay, Mary oth White, Joanne M oth Enthalten in Elsevier Li, Yaoyao ELSEVIER Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement 2022 Amsterdam (DE-627)ELV007884451 volume:35 year:2017 number:38 day:12 month:09 pages:5110-5114 extent:5 https://doi.org/10.1016/j.vaccine.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 35 2017 38 12 0912 5110-5114 5 045F 610 |
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10.1016/j.vaccine.2017.08.015 doi GBV00000000000257A.pica (DE-627)ELV025246062 (ELSEVIER)S0264-410X(17)31082-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 VZ 48.00 bkl Edelstein, Michael verfasserin aut Extracting general practice data for timely vaccine coverage estimates: The England experience 2017transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. Primary health care Elsevier Vaccination Elsevier England Elsevier Data collection Elsevier Information systems Elsevier Crocker-Buque, Tim oth Tsang, Camille oth Eugenio, Odette oth Hopson, Tim oth Pebody, Richard oth Ramsay, Mary oth White, Joanne M oth Enthalten in Elsevier Li, Yaoyao ELSEVIER Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement 2022 Amsterdam (DE-627)ELV007884451 volume:35 year:2017 number:38 day:12 month:09 pages:5110-5114 extent:5 https://doi.org/10.1016/j.vaccine.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 35 2017 38 12 0912 5110-5114 5 045F 610 |
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10.1016/j.vaccine.2017.08.015 doi GBV00000000000257A.pica (DE-627)ELV025246062 (ELSEVIER)S0264-410X(17)31082-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 VZ 48.00 bkl Edelstein, Michael verfasserin aut Extracting general practice data for timely vaccine coverage estimates: The England experience 2017transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. Primary health care Elsevier Vaccination Elsevier England Elsevier Data collection Elsevier Information systems Elsevier Crocker-Buque, Tim oth Tsang, Camille oth Eugenio, Odette oth Hopson, Tim oth Pebody, Richard oth Ramsay, Mary oth White, Joanne M oth Enthalten in Elsevier Li, Yaoyao ELSEVIER Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement 2022 Amsterdam (DE-627)ELV007884451 volume:35 year:2017 number:38 day:12 month:09 pages:5110-5114 extent:5 https://doi.org/10.1016/j.vaccine.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 35 2017 38 12 0912 5110-5114 5 045F 610 |
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10.1016/j.vaccine.2017.08.015 doi GBV00000000000257A.pica (DE-627)ELV025246062 (ELSEVIER)S0264-410X(17)31082-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 VZ 48.00 bkl Edelstein, Michael verfasserin aut Extracting general practice data for timely vaccine coverage estimates: The England experience 2017transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. Primary health care Elsevier Vaccination Elsevier England Elsevier Data collection Elsevier Information systems Elsevier Crocker-Buque, Tim oth Tsang, Camille oth Eugenio, Odette oth Hopson, Tim oth Pebody, Richard oth Ramsay, Mary oth White, Joanne M oth Enthalten in Elsevier Li, Yaoyao ELSEVIER Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement 2022 Amsterdam (DE-627)ELV007884451 volume:35 year:2017 number:38 day:12 month:09 pages:5110-5114 extent:5 https://doi.org/10.1016/j.vaccine.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 35 2017 38 12 0912 5110-5114 5 045F 610 |
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10.1016/j.vaccine.2017.08.015 doi GBV00000000000257A.pica (DE-627)ELV025246062 (ELSEVIER)S0264-410X(17)31082-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 630 640 VZ 48.00 bkl Edelstein, Michael verfasserin aut Extracting general practice data for timely vaccine coverage estimates: The England experience 2017transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. Primary health care Elsevier Vaccination Elsevier England Elsevier Data collection Elsevier Information systems Elsevier Crocker-Buque, Tim oth Tsang, Camille oth Eugenio, Odette oth Hopson, Tim oth Pebody, Richard oth Ramsay, Mary oth White, Joanne M oth Enthalten in Elsevier Li, Yaoyao ELSEVIER Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement 2022 Amsterdam (DE-627)ELV007884451 volume:35 year:2017 number:38 day:12 month:09 pages:5110-5114 extent:5 https://doi.org/10.1016/j.vaccine.2017.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 35 2017 38 12 0912 5110-5114 5 045F 610 |
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Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement |
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Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement |
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Extracting general practice data for timely vaccine coverage estimates: The England experience |
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Extracting general practice data for timely vaccine coverage estimates: The England experience |
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Edelstein, Michael |
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Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement |
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Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement |
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extracting general practice data for timely vaccine coverage estimates: the england experience |
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Extracting general practice data for timely vaccine coverage estimates: The England experience |
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In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. |
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In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. |
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In England, primary care providers use standardised coding systems to record health events such as vaccination as well as patient characteristics. This information can be automatically extracted to estimate coverage for vaccine programmes delivered through primary care, in the general population as well as in specific geographical, ethnic, age or clinical groups. This system provides timely vaccine coverage estimates as well as the flexibility to extract tailored data in order to directly inform a continuously evolving national vaccine programme. It is however limited by the quality and completeness of clinical coding in primary care. A centralised, individual-level register would however improve data quality, completeness and reliability and remains the gold standard. |
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Extracting general practice data for timely vaccine coverage estimates: The England experience |
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Crocker-Buque, Tim Tsang, Camille Eugenio, Odette Hopson, Tim Pebody, Richard Ramsay, Mary White, Joanne M |
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