Evidence map›Paper›PMID 29644927›Full record

ArticleScandinavian journal of primary health care2018

Disease-specific clinical pathways - are they feasible in primary care? A mixed-methods study.

Anders Grimsmo, Audhild Løhre, Tove Røsstad, Ingunn Gjerde, Ina Heiberg, Aslak Steinsbekk

Open access · goldAbstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 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

6 authors at 3 institutions in 1 country.

Anders Grimsmoa Department of Public Health and Nursing , Norwegian University of Science and Technology , Trondheim , Norway.
Audhild Løhrea Department of Public Health and Nursing , Norwegian University of Science and Technology , Trondheim , Norway.
Tove Røsstada Department of Public Health and Nursing , Norwegian University of Science and Technology , Trondheim , Norway.
Ingunn Gjerdeb Faculty of Business Administration and Social Sciences , Molde University College, Specialized University in Logistics , Molde , Norway.
Ina Heibergc Norwegian Centre for Integrated Care and Telemedicine , University Hospital of North Norway , Tromsø , Norway.
Aslak Steinsbekka Department of Public Health and Nursing , Norwegian University of Science and Technology , Trondheim , Norway.
Norwegian University of Science and Technology · NOMolde University College · NOUniversity Hospital of North Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the feasibility of disease-specific clinical pathways when used in primary care.

designA mixed-method sequential exploratory design was used. First, merging and exploring quality interview data across two cases of collaboration between the specialist care and primary care on the introduction of clinical pathways for four selected chronic diseases. Secondly, using quantitative data covering a population of 214,700 to validate and test hypothesis derived from the qualitative findings.

settingPrimary care and specialist care collaborating to manage care coordination.

resultsPrimary-care representatives expressed that their patients often have complex health and social needs that clinical pathways guidelines seldom consider. The representatives experienced that COPD, heart failure, stroke and hip fracture, frequently seen in hospitals, appear in low numbers in primary care. The quantitative study confirmed the extensive complexity among home healthcare nursing patients and demonstrated that, for each of the four selected diagnoses, a homecare nurse on average is responsible for preparing reception of the patient at home after discharge from hospital, less often than every other year.

conclusionsThe feasibility of disease-specific pathways in primary care is limited, both from a clinical and organisational perspective, for patients with complex needs. The low prevalence in primary care of patients with important chronic conditions, needing coordinated care after hospital discharge, constricts transferring tasks from specialist care. Generic clinical pathways are likely to be more feasible and efficient for patients in this setting. Key points Clinical pathways in hospitals apply to single-disease guidelines, while more than 90% of the patients discharged to community health care for follow-up have multimorbidity. Primary care has to manage the health care of the patient holistically, with all his or her complex needs. Patients most frequently admitted to hospitals, i.e. patients with COPD, heart failure, stroke and hip fracture are infrequent in primary care and represent a minority among patients in need of coordinated community health care. In primary care, the low rate of receiving patients discharged from hospitals of major chronic diseases hampers maintenance of required specific skills, thus constricting the transfer of tasks to primary care. Generic clinical pathways are suggested to be more feasible than disease-specific pathways for most patients with complex needs.

Indexed as

Community Health ServicesCritical PathwaysDelivery of Health CareGeneral PracticePatient DischargePrimary Health CareAdolescentAdultAgedAged, 80 and overChronic DiseaseFemaleFractures, BoneHeart FailureHome Health NursingHospitalscare coordinationgeneral practiceHealth service researchhome health nursingintegrated caremultimorbiditypractice guideline

Identifiers

PMID29644927
PMCPMC6066276
OpenAlexW2797817740

What OpenQuestion holds

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LicenceCC BY-NC
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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.