Table · dataset · 2026
Supplemental Material for: Nurse-Led Supportive Physical and Psychological Therapies versus Orthopedic Specialist-Led Usual Care for Postmenopausal Women with Osteoporosis: A 24-Month Prospective, Non-Randomized Interventional Study with Retrospective Data Analysis (Quasi-Experimental Design)
Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.6084/m9.figshare.33981295.v1
<p dir="ltr">Objectives: Postmenopausal osteoporosis is a progressive skeletal disorder that poses a substantial public health burden due to increased fracture risks.
Description
Specialized orthopedic clinics are often structurally constrained by high surgical volumes, limiting their capacity to provide the continuous cognitive reinforcement necessary to maintain long-term medication compliance. The objectives of the study were to evaluate the 24-month clinical utility, behavioral outcomes, and safety profiles of a nurse-led supportive physical and psychological therapy (NT) model compared with traditional orthopedic specialist-led usual care (OU) in postmenopausal women with newly diagnosed primary osteoporosis. </p><p dir="ltr">Design: This was a 24-month quasi-experimental, non-randomized prospective interventional study utilizing a retrospective analysis of clinical study data. </p><p dir="ltr">Setting: The study was conducted at a single center in China, utilizing study records spanning from January 2020 to July 2022. </p><p dir="ltr">Participants/Materials: Out of 415 screened postmenopausal women, 381 with complete 24-month data were evaluated.
These included the NT cohort (n=190, receiving monthly theory-based counseling) and the OU cohort (n=191, receiving standard quarterly visits). Both groups received standard guideline-directed medical therapy. </p><p dir="ltr">
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Methods
Primary behavioral and compliance metrics included the Medication Possession Ratio (MPR), Osteoporosis Self-Efficacy Scale (OSES), and Osteoporosis Health Belief Scale (OHBS). Separate multivariable linear and logistic regression models adjusted for baseline covariates, with a family-wise error rate control handled via a Bonferroni-corrected significance threshold set at P<0.0167. </p><p dir="ltr">Results: Baseline demographic and clinical parameters were well-matched between the two cohorts.
From baseline to the 24-month endpoint, within-group analyses showed significant improvements in psychological indices for both cohorts (P<0.001). However, inter-group comparisons at 24 months revealed significantly higher health belief scores in the NT cohort (P<0.001) and markedly superior personal satisfaction (median 2 vs. 1; P<0.0001). Continuous median MPR was higher in the NT group (0.76) than the OU group (0.74; P=0.0006).
Crucially, 34.7% of the NT cohort achieved the optimal therapeutic adherence threshold ("MPR"≥0.80) compared to 20.4% in the OU cohort. Multivariable logistic regression confirmed that allocation to the nurse-led framework was associated with a 3.45-fold increase in the odds of achieving optimal adherence ("aOR"=3.45; 95%" CI" : 1.85"--" 6.42; P=0.0006). Exploratory safety observations recorded zero deaths in the NT group and six descriptive deaths in the OU group (P=0.032). </p><p dir="ltr">Limitations: The study is constrained by an inherent risk of patient self-selection bias due to its non-randomized nature, alongside confounding variations in follow-up frequencies between the two management arms. </p><p dir="ltr">Conclusions: A structured nurse-led supportive care model is strongly associated with higher rates of optimal medication adherence and more robust improvements in health beliefs among postmenopausal women with osteoporosis compared to standard orthopedic care.
While patient self-selection and confounding follow-up frequencies necessitate interpreting these findings as longitudinal clinical associations rather than definitive causal effects, this collaborative nursing framework offers a promising operational strategy to alleviate follow-up constraints in high-volume specialized healthcare systems. </p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33981295.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science
- Inferred from text
- Clinical sciences 71% · Longitudinal study 65%
Provenance · 2 source records, 30 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33981295 | 11 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/33981295 | 11 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
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| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |