On the data to know the prioritization and vulnerability of patients on surgical waiting lists.
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ABSTRACT:
SUBMITTER: Silva-Aravena F
PROVIDER: S-EPMC7057161 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
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On the data to know the prioritization and vulnerability of patients on surgical waiting lists.
Silva-Aravena Fabián F Álvarez-Miranda Eduardo E Astudillo César A CA González-Martínez Luis L Ledezma José G JG
Data in brief 20200222
The data presented in this article are complementary material to our work entitled "A decision support system for prioritization of patients on surgical waiting lists: A biopsychosocial approach". We prepared, together with physicians, a survey was used in the otorhinolaryngology unit of the Hospital of Talca for a period of five months, between February 05, 2018 and June 29, 2018. Two hundred and five surveys were collected through 20 biopsychosocial criteria, which allowed measuring the priori ...[more]
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Project description:OBJECTIVES:To investigate the national distribution of prolonged waiting for elective day case and inpatient surgery, and to examine associations of prolonged waiting with markers of NHS capacity, activity in the independent sector, and need. SETTING:NHS hospital trusts in England. POPULATION:People waiting for elective treatment in the specialties of general surgery; ear, nose and throat surgery; ophthalmic surgery; and trauma and orthopaedic surgery. MAIN OUTCOME MEASURE:Numbers of people waiting six months or longer (prolonged waiting). Characteristics of trusts with large numbers waiting six months or longer were examined by using logistic regression. RESULTS:The distribution of numbers of people waiting for day case or elective surgery in all the specialties examined was highly positively skewed. Between 52% and 83% of patients waiting longer than six months in the specialties studied were found in one quarter of trusts, which in turn contributed 23-45% of the national throughput specific to the specialty. In general, there was little evidence to show that capacity (measured by numbers of operating theatres, dedicated day case theatres, available beds, and bed occupancy rate) or independent sector activity were associated with prolonged waiting, although exceptions were noted for individual specialties. There was consistent evidence showing an increase in prolonged waiting, with increased numbers of anaesthetists across all specialties and with increased bed occupancy rates for ear, nose and throat surgery. Markers of greater need for health care, such as deprivation score and rate of limiting long term illness, were inversely associated with prolonged waiting. CONCLUSION:In most instances, substantial numbers of patients waiting unacceptably long periods for elective surgery were limited to a small number of hospitals. Little and inconsistent support was found for associations of prolonged waiting with markers of capacity, independent sector activity, or need in the surgical specialties examined.
| S-EPMC140273 | biostudies-literature
Project description:PurposeTo identify factors influencing patient's availability to re-schedule primary total knee replacement (TKR) or revision (RKR) surgery after the lockdown (March-May 2020) during the COVID-19 pandemic.MethodsA prospective cohort study through a telephone survey was performed in 156 patients (143 for primary and 13 for revision) included in the TKR and RKR surgical waiting list before March 2020. Contact of each patient with COVID-19, stress and anxiety, perceived pain, and function were obtained in the interviews, and also the preference of each patient to have re-scheduled surgery (early or late). Finally, we registered their response (acceptance or refusal) when surgery was effectively re-scheduled.Results88 out of 156 patients waiting for knee replacement (76/143 of those waiting for TKR, 12/13 of those waiting for RKR) declared themselves ready for surgery in less than 1 month. When re-scheduled, 115 patients underwent surgery and 41 refused. Significantly different preferences were found for age (more prone to surgery if under 65), revision surgery (more readily available), pain (7.9 ± 1.7/10 in NRS in those undergoing surgery, 5.6 ± 2.3/10 in those refusing, p = 0.000), or COVID-19 diagnosis, but not other close contact with COVID-19, comorbidities, stress, or anxiety. A logistic regression model confirmed that revision surgery (OR 9.33), perceived severe pain (OR 5.21), and age under 65 years (OR 5.82) were significantly associated with patient preference. The probability of patients over 65 to prefer early surgery reached 60% only with pain at or above 9/10.ConclusionsSurgical timing preferences for knee replacement vary between patients older than 65 years (immediate surgery only when pain is intense) and younger patients (immediate surgery no matter the amount of pain). Even if COVID-19 severely stroke our population, the need for knee replacement stood in the young population and even in the aged population at risk for COVID when pain was important.
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Project description:ObjectiveNewcomb-Benford's Law (NBL) proposes a regular distribution for first digits, second digits and digit combinations applicable to many different naturally occurring sources of data. Testing deviations from NBL is used in many datasets as a screening tool for identifying data trustworthiness problems. This study aims to compare public available waiting lists (WL) data from Finland and Spain for testing NBL as an instrument to flag up potential manipulation in WLs.DesignAnalysis of the frequency of Finnish and Spanish WLs first digits to determine if their distribution is similar to the pattern documented by NBL. Deviations from the expected first digit frequency were analysed using Pearson's ?2, mean absolute deviation and Kuiper tests.Setting/participantsPublicly available WL data from Finland and Spain, two countries with universal health insurance and National Health Systems but characterised by different levels of transparency and good governance standards.Main outcome measuresAdjustment of the observed distribution of the numbers reported in Finnish and Spanish WL data to the expected distribution according to NBL.ResultsWL data reported by the Finnish health system fits first digit NBL according to all statistical tests used (p=0.6519 in ?2 test). For Spanish data, this hypothesis was rejected in all tests (p<0.0001 in ?2 test).ConclusionsTesting deviations from NBL distribution can be a useful tool to identify problems with WL data trustworthiness and signalling the need for further testing.
| S-EPMC5942457 | biostudies-literature
Project description:BackgroundPrioritisation instruments were developed for patients on waiting list for hip and knee arthroplasties (AI) and cataract surgery (CI). The aim of the study was to assess their convergent and discriminant validity and inter-observer reliability.MethodsMulticentre validation study which included orthopaedic surgeons and ophthalmologists from 10 hospitals. Participating doctors were asked to include all eligible patients placed in the waiting list for the procedures under study during the medical visit. Doctors assessed patients' priority through a visual analogue scale (VAS) and administered the prioritisation instrument. Information on socio-demographic data and health-related quality of life (HRQOL) (HUI3, EQ-5D, WOMAC and VF-14) was obtained through a telephone interview with patients. The correlation coefficients between the prioritisation instrument score and VAS and HRQOL were calculated. For the reliability study a self-administered questionnaire, which included hypothetic patients' scenarios, was sent via postal mail to the doctors. The priority of these scenarios was assessed through the prioritisation instrument. The intraclass correlation coefficient (ICC) between doctors was calculated.ResultsCorrelations with VAS were strong for the AI (0.64, CI95%: 0.59-0.68) and for the CI (0.65, CI95%: 0.62-0.69), and moderate between the WOMAC and the AI (0.39, CI95%: 0.33-0.45) and the VF-14 and the CI (0.38, IC95%: 0.33-0.43). The results of the discriminant analysis were in general as expected. Inter-observer reliability was 0.79 (CI95%: 0.64-0.94) for the AI, and 0.79 (CI95%: 0.63-0.95) for the CI.ConclusionThe results show acceptable validity and reliability of the prioritisation instruments in establishing priority for surgery.
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Project description:Because existing instruments for assessing surgical fear seem either too general or too limited, the Surgical Fear Questionnaire (SFQ) was developed. The aim of this study is to assess the validity and reliability of the SFQ.Based on existing literature and expert consultation the ten-item SFQ was composed. Data on the SFQ were obtained from 5 prospective studies (N?=?3233) in inpatient or day surgery patients. These data were used for exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis and validity analysis.EFA in Study 1 and 2 revealed a two-factor structure with one factor associated with fear of the short-term consequences of surgery (SFQ-s, item 1-4) and the other factor with fear of the long-term consequences of surgery (SFQ-l, item 5-10). However, in both studies two items of the SFQ-l had low factor loadings. Therefore in Study 3 and 4 the 2-factor structure was tested and confirmed by CFA in an eight-item version of the SFQ. Across all studies significant correlations of the SFQ with pain catastrophizing, state anxiety, and preoperative pain intensity indicated good convergent validity. Internal consistency (Cronbach's alpha) was between 0.765-0.920 (SFQ-total), 0.766-0.877 (SFQ-s), and 0.628-0.899 (SFQ-l). The SFQ proved to be sensitive to detect differences based on age, sex, education level, employment status and preoperative pain intensity.The SFQ is a valid and reliable eight-item index of surgical fear consisting of two subscales: fear of the short-term consequences of surgery and fear of the long-term consequences.
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Project description:BackgroundThe emergence of COVID-19 resulted in postponement of nonemergent surgical procedures for cardiac patients in London. mHealth represented a potentially viable mechanism for highlighting deteriorating patients on the lengthened cardiac surgical waiting lists.ObjectiveTo evaluate the deployment of a digital health solution to support continuous triaging of patients on a cardiac surgical waiting list.MethodAn NHS trust utilized an app-based mHealth solution (Huma Therapeutics) to help gather vital information on patients awaiting cardiac surgery (valvular and coronary surgery). Patients at a tertiary cardiac center on a waiting list for elective surgery were given the option to be monitored remotely via a mobile app until their date of surgery. Patients were asked to enter their symptoms once a week. The clinical team monitored this information remotely, prompting intervention for those patients who needed it.ResultsFive hundred and twenty-five patients were on boarded onto the app. Of the 525 patients using the solution, 51 (9.71%) were identified as at risk of deteriorating based on data captured via the remote patient monitoring platform and subsequently escalated to their respective consultant. 81.7% of patients input at least one symptom after they were on boarded on the platform.DiscussionAlthough not a generalizable study, this change in practice clearly demonstrates the feasibility and potential benefit digital remote patient monitoring can have in triaging large surgical wait lists, ensuring those that need care urgently receive it. We recommend further study into the potential beneficial outcomes from preoperative cardiac mHealth solutions.
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Project description:To assess the impact of pre-operative breast MRI on surgical waiting time, and to identify factors contributing to the delay.A retrospective cohort study involving 1274 patients was conducted after obtaining institutional ethics review. Surgical candidates for newly diagnosed breast cancer from 2007 to 2013 at a tertiary center were divided into 2 groups: those who had pre-operative MRI and those who did not. Linear regression using matched populations was used to compare the surgical waiting times, defined as time from the date of the first positive biopsy to the date of surgery. Potential influences on surgical waiting time and subgroup analysis were obtained using median regression analysis and the Kruskal-Wallis test.Mean surgical waiting time was 57.9 days (95% CI: 55.6-60.1) for MRI patients, compared to 46.8 days (95% CI: 45.1-48.9) for the control group, after matching for potential confounding factors (p<0.0001). Increased surgical waiting time was associated with more favorable pathology, later year of diagnosis, older patient age, surgeon and summer time. Second-look ultrasound and subsequent biopsies were associated with increased waiting time (p = 0.001).Pre-operative breast MRI increased surgical waiting time by 11 days using a conventional average of differences, and by 12 days after using a full matching statistical method (p<0.0001), with the main contributor being additional post-MRI procedures and imaging.
| S-EPMC5221790 | biostudies-literature
Project description:The behavior of breast cancers and their response to neoadjuvant systemic therapy depend on their phenotype which is to a large extent determined by gene expression programs within the cancer cell. The purpose of the analysis was to compare matched gene expression profiles of pretreatment cancer with post-neoadjuvant systemic therapy, residual cancer.
2012-01-17 | GSE32072 | GEO
Project description:BackgroundIn addition to possibly prolonged suffering and anxiety, extended waits for children's surgery beyond critical developmental periods has potential for lifelong impact. The goal of this study was to determine the duration of waits for surgery for children and youth at Canadian paediatric academic health sciences centres using clinically-derived access targets (i.e., the maximum acceptable waiting periods for completion of specific types of surgery) as used in this Canadian Paediatric Surgical Wait Times project.MethodsWe prospectively applied standardized wait-time targets for surgery, created by nominal-group consensus expert panels, to pediatric patients at children's health sciences centres across Canada with decision-to-treat dates of Sept. 1, 2007 or later. From Jan. 1 to Dec. 30, 2009, patients' actual wait times were compared with their target wait times to determine the percentage of patients receiving surgery after the target waiting period.ResultsOverall, 27% of pediatric patients from across Canada (17,411 of 64,012) received their surgery after their standardized target waiting period. Dentistry, ophthalmology, plastic surgery and cancer surgery showed the highest percentages of surgeries completed past target.InterpretationMany children wait too long for surgery in Canada. Specific attention is required, in particular, in dentistry, ophthalmology, plastic surgery and cancer care, to address children's wait times for surgery. Improved access may be realized with use of national wait-time targets.
| S-EPMC3114932 | biostudies-literature