Finnish experiences of health monitoring: local, regional, and national data sources for policy evaluation

Kilpeläinen, Katri; Parikka, Suvi; Koponen, Päivikki; Koskinen, Seppo; Rotko, Tuulia; Koskela, Timo; Gissler, Mika

doi:10.3402/gha.v9.28824

Cited by 14 publications

(12 citation statements)

References 13 publications

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“…To overcome these limitations, thus also enhancing the ability of HUDs to be used for nationwide healthcare monitoring and assessment, the National Unique Personal Code was established in 2016 [24] and adopted in 2017 by all regional HUDs. In doing so, Italy followed the example of other European countries, such as the Scandinavian countries, where a unique personal identification number assigned to permanent residents enables linkage of their records across multiple registries and databases [25][26][27].…”

Section: Discussionmentioning

confidence: 99%

Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases

Skrami

Carle

Villani

et al. 2019

IJERPH

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The purpose of the study was to map and describe the healthcare utilization databases (HUDs) available in Italy’s 19 regions and two autonomous provinces and develop a tool to navigate through them. A census of the HUDs covering the population of a single region/province and recording local-level data was conducted between January 2014 and October 2016. The characteristics of each HUD regarding the start year, data type and completeness, data management system (DMS), data protection procedures, and data quality control adopted were collected through interviews with the database managers using a standard questionnaire or directly from the website of the regional body managing them. Overall, 352 HUDs met the study criteria. The DMSs, anonymization procedures of personal identification data, and frequency of data quality control were fairly homogeneous within regions, whereas the number of HUDs, data availability, type of identification code, and anonymization procedures were considerably heterogeneous across regions. The study provides an updated inventory of the available regional HUDs in Italy and highlights the need for greater homogeneity across regions to improve comparability of health data from secondary sources. It could represent a reference model for other countries to provide information on the available HUDs and their features, enhancing epidemiological studies across countries.

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Section: Discussionmentioning

confidence: 99%

Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases

Skrami

Carle

Villani

et al. 2019

IJERPH

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“…Strategies A, B, and C would be easier because data request is based on the specific study by design. Examples of such datasets are registries from Denmark, Finland, Sweden, Norway, and Iceland, [37][38][39][40][41] the French national insurance data, 42 or the data from German Social Health Insurances. 43 Quality control of data extraction and transformation is possible in all strategies, but is easier in strategies C and D as working on a CDM allows common standard procedures to be run to check data extraction and transformation quality, and easiest if the CDM adopted by the MDS has its own tradition and a comprehensive program of data quality checks is maintained.…”

Section: Potential Impact Of the Four Strategies On Relevant Dimensionsmentioning

confidence: 99%

Different Strategies to Execute Multi‐Database Studies for Medicines Surveillance in Real‐World Setting: A Reflection on the European Model

Gini

Sturkenboom

Sultana

et al. 2020

Clin Pharma and Therapeutics

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on behalf of the Working Group 3 of ENCePP (Inventory of EU data sources and methodological approaches for multisource studies) Although postmarketing studies conducted in population-based databases often contain information on patients in the order of millions, they can still be underpowered if outcomes or exposure of interest is rare, or the interest is in subgroup effects. Combining several databases might provide the statistical power needed. A multi-database study (MDS) uses at least two healthcare databases, which are not linked with each other at an individual person level, with analyses carried out in parallel across each database applying a common study protocol. Although many MDSs have been performed in Europe in the past 10 years, there is a lack of clarity on the peculiarities and implications of the existing strategies to conduct them. In this review, we identify four strategies to execute MDSs, classified according to specific choices in the execution: (A) local analyses, where data are extracted and analyzed locally, with programs developed by each site; (B) sharing of raw data, where raw data are locally extracted and transferred without analysis to a central partner, where all the data are pooled and analyzed; (C) use of a common data model with study-specific data, where study-specific data are locally extracted, loaded into a common data model, and processed locally with centrally developed programs; and (D) use of general common data model, where all local data are extracted and loaded into a common data model, prior to and independent of any study protocol, and protocols are incorporated in centrally developed programs that run locally. We illustrate differences between strategies and analyze potential implications.

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“…Surveys and administrative registers form a basis for the national health monitoring. Health monitoring system has been built to support targeting resources toward identified problem areas, and to predict future needs for health care and preventive measures [1–8]. The North Karelia Project is a prime example of prevention programmes that have gained great improvements in population’s health [9, 10].…”

Section: Introductionmentioning

confidence: 99%

“…Health interview surveys (HIS) provide self-reported information on perceived health, lifestyle, socio-economic situation, opinions, health service needs and service utilisation. Key information on risk factors and functional capacity can only be collected by Health examination surveys (HES), which include questionnaire-based data, physical measurements and biological sample collection [1, 5–8, 11–14].…”

Section: Introductionmentioning

confidence: 99%

From monitoring to action: utilising health survey data in national policy development and implementation in Finland

et al. 2019

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BackgroundHealth interview and examination surveys provide valuable information for policy, practice and research purposes. Appropriate use of high-quality, representative and timely population data can indirectly help the citizens to live healthier and longer lives. The aim of this study was to review how health survey data have supported health policy making, health research and everyday health care in Finland.MethodsData were collected by focused interviews with ten Finnish senior experts from the Ministry of Social Affairs and Health, political parties, National Institute for Health and Welfare, universities, and health associations.ResultsMost interviewees agreed that health surveys have positively affected the health of the population over the past 50 years - through health strategies, care guidelines, legislation, research, prevention programs, risk calculators, and healthier products on the market. There is also a need for further development: the latest research results should be provided in a nutshell for politicians, and effective tools should be developed more for health care professionals’ use. The coverage of health information on children, adolescents, oldest old, disabled persons, migrants and ethnic minorities should be improved.ConclusionsSound health policy and its successful implementation require extensive national cooperation and new communication strategies between policy makers, researchers, health care professionals, health service providers - and citizens. The future health information system in Finland should better cover all population groups. To obtain more comprehensive health information, the possibilities for register linkages should be secured and register data should be further evaluated and developed to serve health monitoring purposes.

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Finnish experiences of health monitoring: local, regional, and national data sources for policy evaluation

Cited by 14 publications

References 13 publications

Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases

Availability of Real-World Data in Italy: A Tool to Navigate Regional Healthcare Utilization Databases

Different Strategies to Execute Multi‐Database Studies for Medicines Surveillance in Real‐World Setting: A Reflection on the European Model

From monitoring to action: utilising health survey data in national policy development and implementation in Finland

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