COVID-19 and regional differences in the timeliness of hip-fracture surgery: an interrupted time-series analysis

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PeerJ

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Introduction

Materials & Methods

  • Non-urgent hospital admission;

  • Daytime hospital care, known in Italy as “day hospital admission”, which consists in a one-day admission to the hospital without overnight stay to perform diagnostic procedures and/or surgical, therapeutic or rehabilitative care (Lenzi et al., 2014);

  • Transfer from other hospital;

  • Age <65 or >100 years;

  • Polytrauma (diagnosis-related group 484–487);

  • Diagnosis or medical history of malignant tumors (principal/secondary ICD-9-CM code 140.0–208.9, 238.6, V10);

  • Death within 1 day of hospital admission and no surgery to repair HF;

  • Admission to a spinal injury unit, rehabilitation hospital or long-term care facility.

Statistical analysis

  • β0 = intercept of the outcome variable in the control group;

  • β1 = slope of the outcome in the control group until the introduction of the intervention;

  • β2 = change in the level of the outcome that occurs in the period immediately following the introduction of the intervention in the control group;

  • β3 = difference between preintervention and postintervention slopes of the outcome in the control group;

  • β4 = difference in the level between “treatment” and control prior to intervention;

  • β5 = difference in the slope between “treatment” and control prior to intervention;

  • β6 = difference-in-differences of the change of level between “treatment” and control;

  • β7 = difference-in-differences of slopes between “treatment” and control.

Results

Discussion

Strengths and limitations

Conclusions

Supplemental Information

Supplemental Tables and Figures

DOI: 10.7717/peerj.12046/supp-1

Stata script to perform interrupted time-series analysis

DOI: 10.7717/peerj.12046/supp-2

Raw data to perform interrupted time-series analysis

DOI: 10.7717/peerj.12046/supp-3

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Davide Golinelli conceived and designed the experiments, prepared figures and/or tables, and approved the final draft, developed the concept for this study, contributed to the interpretation of the results, and wrote the first draft.

Jacopo Lenzi conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft, conducted data analysis, contributed to the interpretation of the results, and wrote the first draft.

Emanuele Adorno conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the paper, and approved the final draft, contributed to the interpretation of the results, drafted sections of the paper and revised it critically for important intellectual content.

Maria Michela Gianino and Maria Pia Fantini conceived and designed the experiments, authored or reviewed drafts of the paper, and approved the final draft, contributed to the interpretation of the results, drafted sections of the paper and revised it critically for important intellectual content, equally contributed to this study and are both guarantor for this work.

Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

Ethical approval to undertake this research was granted from the Comitato Etico di Area Vasta Emilia Centro (Submission Number IDECOdE-R (233/2019/0SS/AOUBo)).

Data Availability

The following information was supplied regarding data availability:

We upload:

+ Supporting data

+ Stata script to perform interrupted time-series analysis.

Funding

The authors received no funding for this work.

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