Lorenzo Blandi, Leonardo Pegollo, Leandro Gentile, Anna Odone
{"title":"人口健康管理:公共卫生的原则、模式和应用领域。","authors":"Lorenzo Blandi, Leonardo Pegollo, Leandro Gentile, Anna Odone","doi":"10.23750/abm.v94iS3.14554","DOIUrl":null,"url":null,"abstract":"<p><p>There is no single model for Population Health Management (PHM) and different definitions have been proposed. All PHM models and definitions share the overall aim of improving population health and reduce healthcare costs. To achieve these objectives, PHM makes use of conceptual tools such as the Chronic Care Model and predictive medicine, and technical tools such as information systems and computational and record-linkage techniques to collect and analyse data. Using these tools, it makes it feasible to articulate PHM approaches in the following steps: identification of a population, stratification of individuals according to risk levels, mapping of health needs and development of targeted interventions and models of care. PHM has been applied in a variety of national and regional settings, proving to have great potential. However, the success of PHM models depends on a number of factors. In particular, few key points have emerged that must be taken into consideration when planning and implementing PHM programs. They include PHM funding schemes, strategies to ensure people adherence, the equity dimension in its multiple aspects, and the privacy of personal data. In addition to these challenges, there is the need to act in a legislative context appropriate to the implementation of PHM.</p>","PeriodicalId":35682,"journal":{"name":"Acta Biomedica de l''Ateneo Parmense","volume":"94 S3","pages":"e2023162"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population Health Management: principles, models and areas of application in public health.\",\"authors\":\"Lorenzo Blandi, Leonardo Pegollo, Leandro Gentile, Anna Odone\",\"doi\":\"10.23750/abm.v94iS3.14554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>There is no single model for Population Health Management (PHM) and different definitions have been proposed. All PHM models and definitions share the overall aim of improving population health and reduce healthcare costs. To achieve these objectives, PHM makes use of conceptual tools such as the Chronic Care Model and predictive medicine, and technical tools such as information systems and computational and record-linkage techniques to collect and analyse data. Using these tools, it makes it feasible to articulate PHM approaches in the following steps: identification of a population, stratification of individuals according to risk levels, mapping of health needs and development of targeted interventions and models of care. PHM has been applied in a variety of national and regional settings, proving to have great potential. However, the success of PHM models depends on a number of factors. In particular, few key points have emerged that must be taken into consideration when planning and implementing PHM programs. They include PHM funding schemes, strategies to ensure people adherence, the equity dimension in its multiple aspects, and the privacy of personal data. In addition to these challenges, there is the need to act in a legislative context appropriate to the implementation of PHM.</p>\",\"PeriodicalId\":35682,\"journal\":{\"name\":\"Acta Biomedica de l''Ateneo Parmense\",\"volume\":\"94 S3\",\"pages\":\"e2023162\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Biomedica de l''Ateneo Parmense\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23750/abm.v94iS3.14554\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Biomedica de l''Ateneo Parmense","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23750/abm.v94iS3.14554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Population Health Management: principles, models and areas of application in public health.
There is no single model for Population Health Management (PHM) and different definitions have been proposed. All PHM models and definitions share the overall aim of improving population health and reduce healthcare costs. To achieve these objectives, PHM makes use of conceptual tools such as the Chronic Care Model and predictive medicine, and technical tools such as information systems and computational and record-linkage techniques to collect and analyse data. Using these tools, it makes it feasible to articulate PHM approaches in the following steps: identification of a population, stratification of individuals according to risk levels, mapping of health needs and development of targeted interventions and models of care. PHM has been applied in a variety of national and regional settings, proving to have great potential. However, the success of PHM models depends on a number of factors. In particular, few key points have emerged that must be taken into consideration when planning and implementing PHM programs. They include PHM funding schemes, strategies to ensure people adherence, the equity dimension in its multiple aspects, and the privacy of personal data. In addition to these challenges, there is the need to act in a legislative context appropriate to the implementation of PHM.
期刊介绍:
Acta Bio Medica Atenei Parmensis is the official Journal of the Society of Medicine and Natural Sciences of Parma, and it is one of the few Italian Journals to be included in many excellent scientific data banks (i.e. MEDLINE). Acta Bio Medica was founded in 1887 and its founders and collaborators, Clinicians and Surgeons, entered history. Acta Bio Medica Atenei Parmensis publishes Original Articles, Commentaries, Review Articles, Case Reports of experimental and general Medicine. A section is devoted to a Continuous Medical Education programme in order to help primary care Physicians to improve the quality of care.