ArticleBMC health services research2025
If not us, then who? Ethnographic insights into nurses' role in redesigning a rural health service to meet changing demands.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe increasing prevalence of chronic diseases and an ageing population challenge healthcare delivery, particularly in rural areas. Redesigning health services to meet these changing demands is crucial, esially in rural healthcare where service providers face capacity and expertise limitations. This paper explores how the rural context influences nurses' roles in the clinic and the process of redesigning a rural emergency clinic in Northern Norway to include a Municipal Inpatient Acute Care Service (MipAC).
methodsThe study combines observations (250 h), several in situ interviews with healthcare personnel, and individual in-depth interviews with nurses (n = 8) at the emergency clinic in a rural area in northern Norway. To explore nurses' role in the clinic and in the redesign process, we were inspired by the theory of social organisation of healthcare work.
resultsThe study highlights three prominent aspects of the rural dimension that are crucial for understanding the nurses' role in the redesign process. First, 'Absent present PCPs' highlights how nurses ensure continuity of care during the intermittent absence of primary care physicians (PCPs). Second, 'Learning without doing' shows how the nurses utilized their competence, past experiences, and understanding of local conditions to adapt standardised guidelines, develop new work processes, and establish a framework that compensates for the lack of practical experience, enabling the clinic to function effecively under potential challanging circumstances. Third, 'The local nurse' emphasises how the nurses' connection to the local community influences how they organize care; they are commited to local adaptation and ensuring that "their" residents have acess to what they consider high-quality services.
conclusionThe nurses', experience, dedication, and orientation towards the local community were crucial for the redesign process. The nurses ensured the continuiety in the clinic, despite the PCP's sporadic presence, adapted the standardized guidelines to a rural context and were crucial in organising patient care in the rural area. The study shows that the nurses organizing work, which often remains invisible, is essential in the redesign process. The study indicates that the scope of practice for nurses is more extensive in rural areas and should receive greater attention. in both research, practice and health policy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.