Dataset Information

What effect have NHS commissioners' policies for body mass index had on access to knee replacement surgery in England?: An interrupted time series analysis from the National Joint Registry.

ABSTRACT:

Objective

To assess the impact of local commissioners' policies for body mass index on access to knee replacement surgery in England.

Methods

A Natural Experimental Study using interrupted time series and difference-in-differences analysis. We used National Joint Registry for England data linked to the 2015 Index of Multiple Deprivation for 481,555 patients who had primary knee replacement surgery in England between January 2009 and December 2019. Clinical Commissioning Group policies introduced before June 2018 to alter access to knee replacement for patients who were overweight or obese were considered the intervention. The main outcome measures were rate per 100,000 of primary knee replacement surgery and patient demographics (body mass index, Index of Multiple Deprivation, independently-funded surgery) over time.

Results

Rates of surgery had a sustained fall after the introduction of a policy (trend change of -0.98 operations per 100,000 population aged 40+, 95% confidence interval -1.22 to -0.74, P<0.001), whereas rates increased in localities with no policy introduction. At three years after introduction, there were 10.5 per 100,000 population fewer operations per quarter aged 40+ compared to the counterfactual, representing a fall of 14.1% from the rate expected had there been no change in trend. There was no dose response effect with policy severity. Rates of surgery fell in all patient groups, including non-obese patients following policy introduction. The proportion of independently-funded operations increased after policy introduction, as did the measure of socioeconomic deprivation of patients.

Conclusions

Body mass index policy introduction was associated with decreases in the rates of knee replacement surgery across localities that introduced policies. This affected all patient groups, not just obese patients at whom the policies were targeted. Changes in patient demographics seen after policy introduction suggest these policies may increase health inequalities and further qualitative research is needed to understand their implementation and impact.

SUBMITTER: McLaughlin J

PROVIDER: S-EPMC9242471 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundCommissioning policies are in place in England that alter access to hip and knee arthroplasty based on patients' body mass index and smoking status. Our objectives were to ascertain the prevalence, trend and nature of these policies, and consider the implications for new integrated care systems (ICSs).MethodsPolicy data were obtained from an internet search for all current and historic clinical commissioning group (CCG) hip and knee arthroplasty policies and use of Freedom of Information (FOI) requests to each CCG. Descriptive analyses of policy type, explicit threshold criteria and geography are reported. Estimates were made of the uptake of policies by ICSs based on the modal policy type of their constituent CCGs.ResultsThere were 106 current and 143 historic CCGs in England at the time of the search in June 2021. Policy information was available online for 56.2% (140/249) CCGs. With the addition of information from FOIs, complete policy information was available for 94.4% (235/249) of CCGs. Prevalence and severity of policies have increased over time. For current CCGs, 67.9% (72/106) had a policy for body mass index (BMI) and 75.5% (80/106) had a policy for smoking status for hip or knee arthroplasty. Where BMI policies were in place, 61.1% (44/72) introduced extra waiting time before surgery or restricted access to surgery based on BMI thresholds (modal threshold: BMI of 40 kg/m2, range 30-45). In contrast, where smoking status policies were in place, most offered patients advice or optional smoking cessation support and only 15% (12/80) introduced extra waiting time or mandatory cessation before surgery. It is estimated that 40% of ICSs may adopt a BMI policy restrictive to access to arthroplasty.ConclusionsAccess policies to arthroplasty based on BMI and smoking status are widespread in England, have increased in prevalence since 2013, and persist within new ICSs. The high variation in policy stringency on BMI between regions is likely to cause inequality in access to arthroplasty and to specialist support for affected patients. Further work should determine the impact of different types of policy on access to surgery and health inequalities.

Project description:ObjectiveTo explore geographical and sociodemographic factors associated with variation in equity in access to total hip and knee replacement surgery.DesignCombining small area estimates of need and provision to explore equity in access to care.SettingEnglish census wards.SubjectsPatients throughout England who needed total hip or knee replacement and numbers who received surgery.Main outcome measuresPredicted rates of need (derived from the Somerset and Avon Survey of Health and English Longitudinal Study of Ageing) and provision (derived from the hospital episode statistics database). Equity rate ratios comparing rates of provision relative to need by sociodemographic, hospital, and distance variables.ResultsFor both operations there was an "n" shaped curve by age. Compared with people aged 50-59, those aged 60-84 got more provision relative to need, while those aged >or=85 received less total hip replacement (adjusted rate ratio 0.68, 95% confidence interval 0.65 to 0.72) and less total knee replacement (0.87, 0.82 to 0.93). Compared with women, men received more provision relative to need for total hip replacement (1.08, 1.05 to 1.10) and total knee replacement (1.31, 1.28 to 1.34). Compared with the least deprived, residents in the most deprived areas got less provision relative to need for total hip replacement (0.31, 0.30 to 0.33) and total knee replacement (0.33, 0.31 to 0.34). For total knee replacement, those in urban areas got higher provision relative to need, but for total hip replacement it was highest in villages/isolated areas. For total knee replacement, patients living in non-white areas received more provision relative to need (1.04, 1.00 to 1.07) than those in predominantly white areas, but for total hip replacement there was no effect. Adjustment for hospital characteristics did not attenuate the effects.ConclusionsThere is evidence of inequity in access to total hip and total knee replacement surgery by age, sex, deprivation, rurality, and ethnicity. Adjustment for hospital and distance did not attenuate these effects. Policy makers should examine factors at the level of patients or primary care to understand the determinants of inequitable provision.

Project description:ObjectivesTo assess how costs and quality of life (measured by EuroQoL-5 Dimensions (EQ-5D)) before and after total hip replacement (THR) and total knee replacement (TKR) vary with age, gender and preoperative Oxford hip score (OHS) and Oxford knee score (OKS).DesignRegression analyses using prospectively collected data from clinical trials, cohort studies and administrative data bases.SettingUK secondary care.ParticipantsMen and women undergoing primary THR or TKR. The Hospital Episode Statistics data linked to patient-reported outcome measures included 602 176 patients undergoing hip or knee replacement who were followed up for up to 6 years. The Knee Arthroplasty Trial included 2217 patients undergoing TKR who were followed up for 12 years. The Clinical Outcomes in Arthroplasty Study cohort included 806 patients undergoing THR and 484 patients undergoing TKR who were observed for 1 year.Outcome measuresEQ-5D-3L quality of life before and after surgery, costs of primary arthroplasty, costs of revision arthroplasty and the costs of hospital readmissions and ambulatory costs in the year before and up to 12 years after joint replacement.ResultsAverage postoperative utility for patients at the 5th percentile of the OHS/OKS distribution was 0.61/0.5 for THR/TKR and 0.89/0.85 for patients at the 95th percentile. The difference between postoperative and preoperative EQ-5D utility was highest for patients with preoperative OHS/OKS lower than 10. However, postoperative EQ-5D utility was higher than preoperative utility for all patients with OHS≤46 and those with OKS≤44. In contrast, costs were generally higher for patients with low preoperative OHS/OKS than those with high OHS/OKS. For example, costs of hospital readmissions within 12 months after primary THR/TKR were £740/£888 for patients at the 5th percentile compared with £314/£404 at the 95th percentile of the OHS/OKS distribution.ConclusionsOur findings suggest that costs and quality of life associated with total joint replacement vary systematically with preoperative symptoms measured by OHS/OKS.

Project description:IntroductionPrimary total elbow replacement (TER) services in England are being restructured with the goal of centralising care to specialised centres. It is important to monitor the impact of this service redesign. This protocol outlines an intended analysis to provide detailed descriptions of the patients who are receiving primary TER, where and by whom TER is being performed, and what the current surgical practices for TER are in England before the reconfiguration.MethodsThis analysis will use the National Joint Registry (NJR) elbow dataset and link it with NHS England Hospital Episode Statistics-Admitted Patient Care (HES-APC). It will include eligible patients from the start of the NJR elbow dataset in April 2012 to December 2022. The main objective is to determine the incidence of TER in England. Age-sex standardised rates will be calculated for groups including different ethnicities, and socioeconomic backgrounds, using the mid-year population data provided by the Office for National Statistics. This planned analysis will summarise patient characteristics such as age, sex, body mass index (BMI), hand dominance, American Society of Anaesthesiologists (ASA) grade, indication for TER, socioeconomic status, and patient co-morbidities. It will also examine implant fixation type, classification, brand/type, and changes over time in implant types used in England. Additionally, it will explore the characteristics and volume of the surgeons and hospitals providing primary TER services, including the grade of the primary surgeons, funding source for surgery, and admission type. The analysis will cover the number of procedures performed by surgeons and hospitals annually in England and in each region of England. Finally, the planned analysis will summarise the elective wait time, postoperative length of stay, and any serious adverse events or re-admissions within 30 and 90 days after the TER.DiscussionThis protocol describes the first deep dive analysis into the NJR elbow dataset to describe the incidence of TER surgery in England and the characteristics of patients who are receiving it. This analysis will summarise current primary TER practices in England before service reconfigurations. The impact of reconfiguration can be monitored by comparing future practice to the outcomes from this study. Trial registration ClinicalTrials.gov, NCT06355011. Registered 02 April 2024, https://clinicaltrials.gov/ct2/show/NCT06355011 .

Project description:BackgroundThe risk of mortality following elective total hip (THR) and knee replacements (KR) may be influenced by patients' pre-existing comorbidities. There are a variety of scores derived from individual comorbidities that can be used in an attempt to quantify this. The aims of this study were to a) identify which comorbidity score best predicts risk of mortality within 90 days or b) determine which comorbidity score best predicts risk of mortality at other relevant timepoints (30, 45, 120 and 365 days).Patients and methodsWe linked data from the National Joint Registry (NJR) on primary elective hip and knee replacements performed between 2011-2015 with pre-existing conditions recorded in the Hospital Episodes Statistics. We derived comorbidity scores (Charlson Comorbidity Index-CCI, Elixhauser, Hospital Frailty Risk Score-HFRS). We used binary logistic regression models of all-cause mortality within 90-days and within 30, 45, 120 and 365-days of the primary operation using, adjusted for age and gender. We compared the performance of these models in predicting all-cause mortality using the area under the Receiver-operator characteristics curve (AUROC) and the Index of Prediction Accuracy (IPA).ResultsWe included 276,594 elective primary THRs and 338,287 elective primary KRs for any indication. Mortality within 90-days was 0.34% (N = 939) after THR and 0.26% (N = 865) after KR. The AUROC for the CCI and Elixhauser scores in models of mortality ranged from 0.78-0.81 after THR and KR, which slightly outperformed models with ASA grade (AUROC = 0.77-0.78). HFRS performed similarly to ASA grade (AUROC = 0.76-0.78). The inclusion of comorbidities prior to the primary operation offers no improvement beyond models with comorbidities at the time of the primary. The discriminative ability of all prediction models was best for mortality within 30 days and worst for mortality within 365 days.ConclusionsComorbidity scores add little improvement beyond simpler models with age, gender and ASA grade for predicting mortality within one year after elective hip or knee replacement. The additional patient-specific information required to construct comorbidity scores must be balanced against their prediction gain when considering their utility.

Project description:OBJECTIVE:The 2010 healthcare reform in England introduced primary care-led commissioning in the National Health Service (NHS) by establishing clinical commissioning groups (CCGs). A key factor for the success of the reform is the provision of excellent commissioning support services to CCGs. The Government's aim is to create a vibrant market of competing providers of such services (from both for-profit and not-for-profit sectors). Until this market develops, however, commissioning support units (CSUs) have been created from which CCGs are buying commissioning support functions. This study explored the attitudes of CCGs towards outsourcing commissioning support functions during the initial stage of the reform. DESIGN:The research took place between September 2011 and June 2012. We used a case study research design in eight CCGs, conducting in-depth interviews, observation of meetings and analysis of policy documents. SETTING/PARTICIPANTS:We conducted 96 interviews and observed 146 meetings (a total of approximately 439?h). RESULTS:Many CCGs were reluctant to outsource core commissioning support functions (such as contracting) for fear of losing local knowledge and trusted relationships. Others were disappointed by the absence of choice and saw CSUs as monopolies and a recreation of the abolished PCTs. Many expressed doubts about the expectation that outsourcing of commissioning support functions will result in lower administrative costs. CONCLUSIONS:Given the nature of healthcare commissioning, outsourcing vital commissioning support functions may not be the preferred option of CCGs. Considerations of high transaction costs, and the risk of fragmentation of services and loss of trusted relationships involved in short-term contracting, may lead most CCGs to decide to form long-term partnerships with commissioning support suppliers in the future. This option, however, limits competition by creating 'network closure' and calls into question the Government's intention to create a vibrant market of commissioning support provision.