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Record W2757516511 · doi:10.1007/s40744-017-0080-4

Chronic Disease and Self-Injection: Ethnographic Investigations into the Patient Experience During Treatment

2017· article· en· W2757516511 on OpenAlex
Michael Schiff, Shane Saunderson, Irina Mountian, Paul Hartley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRheumatology and Therapy · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
FundersUCB Pharma
KeywordsMedicineContext (archaeology)EmpowermentHealth carePatient experienceNursing

Abstract

fetched live from OpenAlex

Drug administration by self-injection provides an option to treat chronic inflammatory diseases such as rheumatoid arthritis (RA) and Crohn’s disease (CD). However, a negative self-injection experience for patients may reduce patient adherence to the recommended treatment regimen. In this study, a holistic approach was used to identify common themes along the treatment pathway and at self-injection that, if changed, could improve patient experience and treatment outcomes. Two ethnographic studies were conducted: Field Insights CODE (FI[CODE]) examined the treatment pathway within the context of the experience of living with RA or CD, and Injection Mission 2020 (IM2020) focused on the moment of self-injection. FI(CODE) used an open ethnographic approach to interview 62 patients and 10 healthcare professionals (HCPs) from the US and UK. IM2020 included a review of over 50 injection device design information sources from the sponsor, and interviews with 9 patients, 8 HCPs, and 5 medical device designers from the US, UK, Canada, and Japan. FI(CODE) identified suboptimal treatment practices along the treatment pathway in four key areas: treatment team communication, treatment choice, patient empowerment, and treatment delivery. Patients with more treatment options and greater disease understanding were less likely to struggle with the treatment process. IM2020 demonstrated that five related components influenced the self-injection experience: delivery process, emotional state, social perception, educational level, and ritualization of the self-injection process. These analyses highlight several potential areas for improvement, including aligning the device more to patients’ needs to improve treatment adherence, better accessibility to educational resources to increase patient disease understanding, and guidance to empower patients to develop an optimal personalized self-injection ritual. UCB Pharma. Some medicines used to treat long-term conditions, such as rheumatoid arthritis or Crohn’s disease, are injected under the skin. Often, patients can choose to inject medicines themselves (self-injection). This must be done correctly for the medicines to work properly. But, the training surrounding self-injection is uneven and often cannot address the fundamental problems facing all self-injecting patients. What healthcare improvements could help patients self-inject successfully? To find out, we interviewed people living with rheumatoid arthritis or Crohn’s disease, while others were doctors, nurses, and people who design injection devices. We found four common problems in the overall healthcare that patients received: In addition, five factors were identified that affected patients’ experiences of self-injection: If doctors and nurses can support patients by providing a greater choice of treatments and injection devices, and teaching more about self-injection, this could improve patients’ experiences and allow medications to work better. Healthcare professionals should help patients to develop their own, optimal routine for self-injection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.251
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it