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Gesundheitswesen ; 83(S 02): S113-S121, 2021 Nov.
Artículo en Alemán | MEDLINE | ID: mdl-34758506

RESUMEN

AIM OF THE STUDY: The aim of this study was to test an innovative approach to the small-scale and social situation-sensitive localisation and analysis of health-related routine data. For this purpose, SHI billing data and deployment data of the ambulance service were supplemented with a small-scale neighbourhood-related indicator of the social situation of the place of residence and/or deployment as a proxy for the personal social situation. METHODS: Anonymised accounting data from three statutory health insurances and deployment data from the rescue service of the Hamburg fire brigade, each from the year 2017, were used. The social situation of the place of residence of the insured or transported persons (in the case of the rescue service data, also the deployment location) was mapped with the help of the so-called status index classes (high - medium - low - very low) of the Hamburg social monitoring. The allocation via the addresses of the persons concerned was carried out by the respective data owners with the help of an allocation procedure developed in the project. RESULTS: Exemplary results of descriptive analysis of accident occurrence and acute inpatient care of children and adolescents showed that known social situation dependencies from primary studies can also be depicted in the secondary data used. This would speak for the suitability of the social indicator, e. g. in the context of extended social and health reporting. CONCLUSION: The neighbourhood-based indicator we used seems promising and should be validated in further analyses. Based on this, approaches can be developed for its use in the context of health services research and health reporting as well as in the sense of a comprehensive health-in-all-policies strategy for designing health-promoting and needs-oriented political decisions and programmes.


Asunto(s)
Programas Nacionales de Salud , Estatus Social , Accidentes , Adolescente , Niño , Alemania , Investigación sobre Servicios de Salud , Humanos
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