Evidence map›Paper›PMID 31014343›Full record

ArticleBMC health services research2019

Integrative hospital treatment in older patients to benchmark and improve outcome and length of stay - the In-HospiTOOL study.

Alexander Kutz, Daniel Koch, Antoinette Conca, Ciril Baechli, Sebastian Haubitz, Katharina Regez, Ursula Schild, Zeljka Caldara, Fahim Ebrahimi, Stefano Bassetti and 11 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 1 country.

Alexander KutzMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland. kutz.alexander@gmail.com.
Daniel KochMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Antoinette ConcaMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Ciril BaechliMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Sebastian HaubitzMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Katharina RegezMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Ursula SchildMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Zeljka CaldaraMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Fahim EbrahimiDivision of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Stefano BassettiDivision of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Jens EcksteinDivision of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Juerg BeerInternal Medicine Department, Kantonsspital Baden, Baden, Switzerland.
Michael EgloffInternal Medicine Department, Kantonsspital Baden, Baden, Switzerland.
Vladimir KaplanInternal Medicine Department, Kreisspital Muri, Muri, Switzerland.
Tobias EhmannInternal Medicine Department, Spital Zofingen, Zofingen, Switzerland.
Claus HoessInternal Medicine Department, Kantonsspital Muensterlingen, Muensterlingen, Switzerland.
Heinz SchaadInternal Medicine Department, Spital Interlaken, FMI, Interlaken, Switzerland.
Ulrich WagnerSwiss Federal Office for Statistics, Neuchâtel, Switzerland.
Sabina de GeestDepartment of Public Health of the Faculty of Medicine, University Hospital Basel, Basel, Switzerland.
Philipp SchuetzMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Beat MuellerMedical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.
Kantonsspital Aarau · CHUniversity Hospital of Basel · CHKantonsspital Baden · CHFederal Statistical Office · CHKantonsspital Münsterlingen · CHSpital Muri · CH

Funding

Hugo und Elsa Isler Fonds of the Argovian Department of Health and Social Affairs Not applicableResearch council of the Kantonsspital Aarau 1410.000.086Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 407440_167376Wissenschaft & Weiterbildung (W&W) Fonds of the Kantonsspital Aarau 140.000.495
6 · The paper itself

Abstract

backgroundA comprehensive in-hospital patient management with reasonable and economic resource allocation is arguably the major challenge of health-care systems worldwide, especially in elderly, frail, and polymorbid patients. The need for patient management tools to improve the transition process and allocation of health care resources in routine clinical care particularly for the inpatient setting is obvious. To address these issues, a large prospective trial is warranted.

methodsThe "Integrative Hospital Treatment in Older patients to benchmark and improve Outcome and Length of stay" (In-HospiTOOL) study is an investigator-initiated, multicenter effectiveness trial to compare the effects of a novel in-hospital management tool on length of hospital stay, readmission rate, quality of care, and other clinical outcomes using a time-series model. The study aims to include approximately 35`000 polymorbid medical patients over an 18-month period, divided in an observation, implementation, and intervention phase. Detailed data on treatment and outcome of polymorbid medical patients during the in-hospital stay and after 30 days will be gathered to investigate differences in resource use, inter-professional collaborations and to establish representative benchmarking data to promote measurement and display of quality of care data across seven Swiss hospitals. The trial will inform whether the "In-HospiTOOL" optimizes inter-professional collaboration and thereby reduces length of hospital stay without harming subjective and objective patient-oriented outcome markers. DISCUSSION: Many of the current quality-mirroring tools do not reflect the real need and use of resources, especially in polymorbid and elderly patients. In addition, a validated tool for optimization of patient transition and discharge processes is still missing. The proposed multicenter effectiveness trial has potential to improve interprofessional collaboration and optimizes resource allocation from hospital admission to discharge. The results will enable inter-hospital comparison of transition processes and accomplish a benchmarking for inpatient care quality.

Indexed as

BenchmarkingMultiple Chronic ConditionsAdolescentAdultAgedClinical Trials as TopicComparative Effectiveness ResearchDelivery of Health CareDelivery of Health Care, IntegratedHospitalizationHumansInterprofessional RelationsLength of StayMiddle AgedMulticenter Studies as TopicPatient DischargeClinical outcomesDischarge planningHealth services researchIntegrated careInterprofessionalLength of hospital stayPolymorbidityReadmissionResource allocationTransition

Identifiers

PMID31014343
PMCPMC6480877
OpenAlexW2947586179

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.