Evidence map›Paper›PMID 35546235›Full record

ArticleBMC health services research2022

Evidence-based indicators for the measurement of quality of primary care using health insurance claims data in Switzerland: update of the SQUIPRICA working group.

Eva Blozik, Renato Farcher, Sereina M Graber, Carola A Huber, Swiss Quality Indicator for Primary Care (SQIPRICA) Working Group

Abstract readConsensus Statement
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eva BlozikDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland. evaelisabeth.blozik@uzh.ch.
Renato FarcherDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland.
Sereina M GraberDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland.
Carola A HuberDepartment of Health Sciences, Helsana Group, P.O. Box, Zürich, Switzerland.
Swiss Quality Indicator for Primary Care (SQIPRICA) Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe level of quality of care of ambulatory services in Switzerland is almost completely unknown. Since health insurance claims are the only nationwide applicable and available data source for this purpose, a set of 24 quality indicators (QI) for the measurement of quality of primary care has been previously developed and implemented. The present paper reports on an evidence-based update and extension of the initial QI set.

methodsEstablished pragmatic 6-step process based on informal consensus and potential QI extracted from international medical practice guidelines and pre-existing QI for primary care. Experts rated potential QI based on strength of evidence, relevance for Swiss public health, and controllability in the Swiss primary care context. Feasibility of a preliminary set of potential new QI was tested using claims data of persons with basic mandatory health insurance at one of the largest Swiss health insurers. This test built the basis for expert consensus on the final set of new QI. Additionally, two diabetes indicators included in the previous QI set were re-evaluated.

resultsOf 23 potential new indicators, 19 of them were selected for feasibility testing. The expert group consented a final set of 9 additional QI covering the domains general aspects/efficiency (2 QI), diagnostic measures (1 QI), geriatric care (2 QI), osteoarthritis (1 QI), and drug safety (3 QI). Two pre-existing diabetes indicators were updated.

conclusionsAdditional QI relating to overuse and intersectoral care aspects extend the options of measuring quality of primary care in Switzerland based on claims data and complement the initial QI set.

Indexed as

Diabetes MellitusQuality Indicators, Health CareAgedHumansInsurance, HealthPrimary Health CareSwitzerlandClaims dataConsensus processEvidence-basedHealth insuranceQuality assessmentQuality indicatorQuality measurement

Identifiers

PMID35546235
PMCPMC9092888

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