Surgical waiting times for ocular and periocular cancer patients in Toronto

Leung, Andrea K.; DeAngelis, Dan; Hurwitz, Jeffrey J.; Simpson, E. Rand; Oestreicher, James H.; Ing, Edsel; Hurwitz, Gillian

doi:10.3129/i07-162

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…The overall assessment had MNR at 3.76 in a 5 point likert scale. The finding on waiting time is consistent with that of the Canadian Community Health Survey (CCHS) which revealed that close to 30% of surveyed Canadians said their waits to see a specialist for a new illness or condition were unacceptable (Statistics Canada, 2005) and not different from the 43.7% from Japan Ministry of Health, Labor, and Welfare (Okotie et al, 2008) and also showed similar sample size (Leung et al, 2007). Patient satisfaction is a worthwhile goal of health care service (Shea et al, 2008;Chand et al, 2009) and there are a lot of reasons for implementing plans to achieve it.…”

Section: Discussionsupporting

confidence: 75%

Assessment of out-patients’ perception on timing hospital appointment to reduce waiting time at primary health care centre Abakaliki, South East Nigeria: A cross-sectional study

Eze¹,

Uneke²

2017

Int Res J Med Med Sci

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As an important factor of patient's satisfaction, waiting time, has gained increasing attention in the field of health care services. This study aimed to assess treated patients' perception on scheduling hospital appointment to reduce waiting time. A cross-sectional study using a convenience sampling method was conducted in a primary health centre in Abakaliki. A self-administered questionnaire was used for data collection and 5 point likert scale was used for analysis. Data were collected from 305 treated patients. Thirty six percent (36%) of the respondents agreed that they spend much time waiting for doctors or nurses when seeking health services in the facility. Thirty six percent (36%) of the respondents said that hospital appointment timing is very necessary, 34% of the respondents agreed very much that timing hospital appointment will make them not to stay too long in the hospital. Two-third of the respondents [64%] described hospital appointment timing as really relevant. Different features of the perceptions indicated the mean ratings (MNRs) and mostly ranged from 2.94 to 4.02 on a 5 point scale. The overall assessment of the perception had MNR at 3.76. In conclusion, adoption of an appointment system and flexible management of doctor scheduling may be an effective way to achieve reduced waiting time. It is recommended that policy back up for timing hospital appointments to improve service delivery and clients' satisfaction in our health system. More studies should look into patients' attitude towards long waiting time.

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Section: Discussionsupporting

confidence: 75%

Assessment of out-patients’ perception on timing hospital appointment to reduce waiting time at primary health care centre Abakaliki, South East Nigeria: A cross-sectional study

Eze¹,

Uneke²

2017

Int Res J Med Med Sci

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“…Retinoblastoma is an intraocular tumor that occurs during childhood and usually shows aggressive behavior initially involving the eye and with subsequent extension to the skull and central nervous system via the optic nerve involving the ocular cavity. It requires early diagnosis and prompt treatment through enucleation of the eye affected by the tumor [ 19 - 21 ].…”

Section: Introductionmentioning

confidence: 99%

A 12-Year Retrospective Survey of Management of Patients with Malignant Neoplasms in the Orbital Cavity in a Brazilian Cancer Hospital

Sirianni¹,

Leles²,

Mendonça³

2013

TODENTJ

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Purpose:The aim of this study was to investigate the distribution of different types of malignant tumors in the orbital cavity, surgical treatments, and subsequent prosthetic rehabilitation. Materials and Methods:A retrospective sample of 269 charts of patients attending a public reference cancer hospital in Goiania, Goias, Brazil, between 1998 and 2009 was selected. Study variables included demographic data, clinical and histopathological features, and patient rehabilitation. Frequency analysis, chi-square test and multiple logistic regression were used for data analysis. Results:Patients’ age ranged from 1 to 92 years and 50.2% were female. The most prevalent tumors were basal cell carcinoma (58%), retinoblastoma (17.1%), squamous cell carcinoma of the conjunctiva (7.1%), malignant melanoma (6.7%), and rhabdomyosarcoma (4.5%). Surgical treatment was performed in 250 patients (92.3%), but only 29 patients (10.8%) received ocular prosthetic rehabilitation. Lower age (p<0.001) and enucleation surgery (p<0.001) were significantly associated with prosthetic rehabilitation.Conclusions:Results revealed high occurrence of mutilating interventions and low provision of prosthetic care, limited to younger patients who had undergone enucleation surgery. The high unmet demand for rehabilitation emphasizes the need to incorporate appropriate care for ocular and orbital deformities into the Brazilian public health system.

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“…data from the 2005 Canadian R Community Health Survey (CCHS) reveal that close to 30% of surveyed Canadians said their waits to see a specialist for a new illness or condition were "unacceptable" (Statistics Canada 2006). In the Canadian context, actual data on the extent of this wait is sparse; existing studies focus on a specific condition or procedure ( Johnston et al 2004;Lau et al 2007;Leung et al 2007;Simunovic et al 2001;Singh et al 2010;Wright and menaker 2011), have small sample sizes (Leung et al 2007;Olson and de Gara 2002) or report data from a limited number of facilities (Leung et al 2007;massel 1999;Olson and de Gara 2002;Snider et al 2005).…”

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confidence: 99%

What Are Wait Times to See a Specialist? An Analysis of 26,942 Referrals in Southwestern Ontario

Thind¹,

Stewart²,

Manuel³

et al. 2012

hcpol

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Background: Reducing wait times is a key goal of Canadian health planners and policy makers. using data from the EmRs of 23 family physicians across southwestern Ontario, we present data on wait times to see a specialist, and evaluate these data for equity. Methods: Cross-sectional analysis of EmR database of 29,303 patients and 544,398 encounters from October 2005 to July 2010. Wait time was calculated as the difference between the specialist appointment date and the family physician' s referral date. multilevel regression analysis was used to assess equity in waiting times. Results: The median wait was 53 days, with female patients having a slightly longer wait than males (55 vs. 51 days), and younger patients (median = 45 days) having the shortest wait. differences were noted among practices, with a range of 42-63 days. The longest waits were for neurosurgery (median = 103 days) and the shortest for paediatricians (median = 28 days). There was no correlation between wait times and income, but significant associations were noted for patient age, sex and referral urgency. Interpretation: This is the first study to present data on actual wait times for a broad array of specialists over a five-year period. There is variation among specialties and by practice, and further research is needed to understand reasons for these. from a policy perspective, there is equity in wait times in southwestern Ontario, as waits are not correlated with SES. future work should model the patient-, physician-and contextual-level factors that determine specialist wait times.

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Surgical waiting times for ocular and periocular cancer patients in Toronto

Cited by 4 publications

References 13 publications

Assessment of out-patients’ perception on timing hospital appointment to reduce waiting time at primary health care centre Abakaliki, South East Nigeria: A cross-sectional study

Assessment of out-patients’ perception on timing hospital appointment to reduce waiting time at primary health care centre Abakaliki, South East Nigeria: A cross-sectional study

A 12-Year Retrospective Survey of Management of Patients with Malignant Neoplasms in the Orbital Cavity in a Brazilian Cancer Hospital

What Are Wait Times to See a Specialist? An Analysis of 26,942 Referrals in Southwestern Ontario

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