The aim of this study was to determine satisfaction rates after hip and knee arthroplasty in patients who did not respond to postoperative patient-reported outcome measures (PROMs), characteristics of non-responders, and contact preferences to maximize response rates. A prospective cohort study of patients planned to undergo hip arthroplasty (n = 713) and knee arthroplasty (n = 737) at a UK university teaching hospital who had completed preoperative PROMs questionnaires, including the EuroQol five-dimension health-related quality of life score, and Oxford Hip Score (OHS) and Oxford Knee Score (OKS). Follow-up questionnaires were sent by post at one year, including satisfaction scoring. Attempts were made to contact patients who did not initially respond. Univariate, logistic regression, and receiver operator curve analysis was performed.Aims
Methods
Patient function after arthroplasty should ideally quickly improve.
It is not known which peri-operative function assessments predict
length of stay (LOS) and short-term functional recovery. The objective
of this study was to identify peri-operative functions assessments
predictive of hospital LOS and short-term function after hospital discharge
in hip or knee arthroplasty patients. In total, 108 patients were assessed peri-operatively with the
timed-up-and-go (TUG), Iowa level of assistance scale, post-operative
quality of recovery scale, readiness for hospital discharge scale,
and the Western Ontario and McMaster Osteoarthritis Index (WOMAC).
The older Americans resources and services activities of daily living
(ADL) questionnaire (OARS) was used to assess function two weeks
after discharge. Objectives
Methods
The Oxford Hip and Knee Scores (OHS, OKS) have been demonstrated
to vary according to age and gender, making it difficult to compare
results in cohorts with different demographics. The aim of this
paper was to calculate reference values for different patient groups
and highlight the concept of normative reference data to contextualise an
individual’s outcome. We accessed prospectively collected OHS and OKS data for patients
undergoing lower limb joint arthroplasty at a single orthopaedic
teaching hospital during a five-year period.
T-scores were calculated based on the OHS and OKS distributions. Objectives
Methods
Satisfaction with care is important to both patients
and to those who pay for it. The Net Promoter Score (NPS), widely
used in the service industries, has been introduced into the NHS
as the ‘friends and family test’; an overarching measure of patient
satisfaction. It assesses the likelihood of the patient recommending
the healthcare received to another, and is seen as a discriminator
of healthcare performance. We prospectively assessed 6186 individuals
undergoing primary lower limb joint replacement at a single university
hospital to determine the Net Promoter Score for joint replacements
and to evaluate which factors contributed to the response. Achieving pain relief (odds ratio (OR) 2.13, confidence interval
(CI) 1.83 to 2.49), the meeting of pre-operative expectation (OR
2.57, CI 2.24 to 2.97), and the hospital experience (OR 2.33, CI
2.03 to 2.68) are the domains that explain whether a patient would
recommend joint replacement services. These three factors, combined
with the type of surgery undertaken (OR 2.31, CI 1.68 to 3.17),
drove a predictive model that was able to explain 95% of the variation
in the patient’s recommendation response. Though intuitively similar,
this ‘recommendation’ metric was found to be materially different
to satisfaction responses. The difference between THR (NPS 71) and
TKR (NPS 49) suggests that no overarching score for a department
should be used without an adjustment for case mix. However, the
Net Promoter Score does measure a further important dimension to
our existing metrics: the patient experience of healthcare delivery. Cite this article:
