scholarly journals Waiting Time as an Indicator for Health Services Under Strain: A Narrative Review

Author(s):  
Daniel McIntyre ◽  
Clara K. Chow

As pressure increases on public health systems globally, a potential consequence is that this is transferred to patients in the form of longer waiting times to receive care. In this review, we overview what waiting for health care encompasses, its measurement, and the data available in terms of trends and comparability. We also discuss whether waiting time is equally distributed according to socioeconomic status. Finally, we discuss the policy implications and potential approaches to addressing the burden of waiting time. Waiting time for elective surgery and emergency department care is the best described type of waiting time, and it either increases or remains unchanged across multiple developed countries. There are many challenges in drawing direct comparisons internationally, as definitions for these types of waiting times vary. There are less data on waiting time from other settings, but existing data suggest waiting time presents a significant barrier to health care access for a range of health services. There is also evidence that waiting time is unequally distributed to those of lower socioeconomic status, although this may be improving in some countries. Further work to better clarify definitions, identify driving factors, and understand hidden waiting times and identify opportunities for reducing waiting time or better using waiting time could improve health outcomes of our health services.

2021 ◽  
Vol 0 (4) ◽  
pp. 137-158
Author(s):  
Anna Akhmetova ◽  
◽  
Elena Shevchenko ◽  
Taras Sharamko ◽  
Tatyana Aleshina ◽  
...  

The imbalance between the demand for health services and their supply leads to a decrease in the availability of health care. The aim of the study is to analyze the key mechanisms of the policy on reducing the waiting time for planned medical care. The issues of ensuring the guarantee for maximum time limits are studied; the foreign experience of managing waiting times for medical care is reviewed, the possibility of applying it in Russian practice is analyzed; the possibilities of reducing waiting times at the level of medical organizations are considered. The review of foreign experience shows a purposeful state policy to reduce waiting times, and allows us to determine the most effective measures. In Russia, the guaranteed maximum patient waiting times are shorter than in most of the countries reviewed, however, state resources do not support these guarantees; there is no unified state approach for monitoring, and no well-thought-out mechanism for their regulation, based on both system capabilities and social needs. Taking into account the studied international and Russian experience, the recommendations for creating a system for managing the waiting time for planned medical care in Russia are proposed.


2020 ◽  
pp. 095148482092830
Author(s):  
Stefano Landi ◽  
Enrico Ivaldi ◽  
Angela Testi

Inequalities in effective access to healthcare are present among countries and within the same country. Despite in Italy exist the principle of equity in access to health system, there are evidence of different access rates in the form of unequal waiting time within the country. Waiting times are an instruments to ration healthcare services dealing with resource scarsity. Theoretically, it is a fair tool because waiting times should depend only on health needs and not on the ability to pay. However, a growing literature has pointed out that belonging to a particular socioeconomic status leads to waiting times inequalities for healthcare services. Many countries have socioeconomic disparities among regions, and healthcare organizations need to take into account these differences. The increasing power of Regional Health Authorities in decentralized health systems, as in the case of Italy, has generated different organizational ways to provide health care, possibly leading to different access rates in the form of unequal waiting time within the country. This paper aims to understand if the administrative area (Regional Health Authorities) in charge of health services affects waiting times lowering or strengthening health care access inequalities. Using a series of logistic regression models, this work suggests the presence of two vectors: socioeconomic inequalities and regional inequalities. Health organizations need to implement different kinds of answers for each vectors of inequalities.


Author(s):  
Ulla Tuominen ◽  
Harri Sintonen ◽  
Pasi Aronen ◽  
Johanna Hirvonen ◽  
Seppo Seitsalo ◽  
...  

In many Western countries, long waiting times for elective surgery are a concern. Major joint replacement is an example of a type of surgery with a high volume of demand and relatively long waiting periods for patients. As populations get older, the prevalence of slowly progressive diseases, such as osteoarthritis (OA) in hip and knee joints, is increasing. Over three-quarters of a million total hip and knee replacement surgeries are done in the United States annually (1). Furthermore, according to March et al. (1997), the costs of OA have been estimated to account for up to 1–2.5 percent of the Gross National Product (GNP) in several developed countries (2). In Finland, a total of 11,104 total joint replacements (TJRs) were performed in 2004 (hip 6,600 and knee 5,905), with the median waiting time of 181 days for the surgery (hip 153 and knee 209 days). Until 2007, the number of TJRs was 17,334 (hip 7,698 and knee 9,636), with a median waiting time of 120 and 142 days, respectively (3;4). The mean waiting time for elective surgical procedures is approximately 3 months in several countries and the maximum waiting times can stretch into years.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253875
Author(s):  
Mikko Uimonen ◽  
Ilari Kuitunen ◽  
Juha Paloneva ◽  
Antti P. Launonen ◽  
Ville Ponkilainen ◽  
...  

Background A concern has been that health care reorganizations during the first COVID-19 wave have led to delays in elective surgeries, resulting in increased complications and even mortality. This multicenter study examined the changes in waiting times of elective surgeries during the COVID-19 pandemic in Finland. Methods Data on elective surgery were gathered from three Finnish public hospitals for years 2017–2020. Surgery incidence and waiting times were examined and the year 2020 was compared to the reference years 2017–2019. The mean annual, monthly, and weekly waiting times were calculated with 95% confidence intervals (CI). The most common diagnosis groups were examined separately. Findings A total of 88 693 surgeries were included during the study period. The mean waiting time in 2020 was 92.6 (CI 91.5–93.8) days, whereas the mean waiting time in the reference years was 85.8 (CI 85.1–86.5) days, resulting in an average 8% increase in waiting times in 2020. Elective procedure incidence decreased rapidly in the onset of the first COVID-19 wave in March 2020 but recovered in May and June, after which the surgery incidence was 22% higher than in the reference years and remained at this level until the end of the year. In May 2020 and thereafter until November, waiting times were longer with monthly increases varying between 7% and 34%. In gastrointestinal and genitourinary diseases and neoplasms, waiting times were longer in 2020. In cardiovascular and musculoskeletal diseases, waiting times were shorter in 2020. Conclusion The health care reorganizations due to the pandemic have increased elective surgery waiting times by as much as one-third, even though the elective surgery rate increased by one-fifth after the lockdown.


2002 ◽  
Vol 18 (3) ◽  
pp. 611-618
Author(s):  
Markus Torkki ◽  
Miika Linna ◽  
Seppo Seitsalo ◽  
Pekka Paavolainen

Objectives: Potential problems concerning waiting list management are often monitored using mean waiting times based on empirical samples. However, the appropriateness of mean waiting time as an indicator of access can be questioned if a waiting list is not managed well, e.g., if the queue discipline is violated. This study was performed to find out about the queue discipline in waiting lists for elective surgery to reveal potential discrepancies in waiting list management. Methods: There were 1,774 waiting list patients for hallux valgus or varicose vein surgery or sterilization. The waiting time distributions of patients receiving surgery and of patients still waiting for an operation are presented in column charts. The charts are compared with two model charts. One model chart presents a high queue discipline (first in—first out) and another a poor queue discipline (random) queue. Results: There were significant differences in waiting list management across hospitals and patient categories. Examples of a poor queue discipline were found in queues for hallux valgus and varicose vein operations. Conclusions: A routine waiting list reporting should be used to guarantee the quality of waiting list management and to pinpoint potential problems in access. It is important to monitor not only the number of patients in the waiting list but also the queue discipline and the balance between demand and supply of surgical services. The purpose for this type of reporting is to ensure that the priority setting made at health policy level also works in practise.


2009 ◽  
Vol 16 (3) ◽  
pp. 148-154 ◽  
Author(s):  
CA Graham ◽  
WO Kwok ◽  
YL Tsang ◽  
TH Rainer

Objective To explore why patients in Hong Kong seek medical advice from the emergency department (ED) and to identify the methods by which patients would prefer to be updated on the likely waiting time for medical consultation in the ED. Methods The study recruited 249 semi-urgent and non-urgent patients in the ED of Prince of Wales Hospital from 26th September 2005 to 30th September 2005 inclusive. A convenience sample of subjects aged ≥15 years old in triage categories 4 or 5 were verbally consented and interviewed by research nurses using a standardized questionnaire. Results From 1715 potential patients, 249 were recruited ad hoc (mean age 44 years [SD18]; 123 females). About 63% indicated that an acceptable ED waiting time was less than or equal to two hours, and 88% felt that having individual number cards and using a number allocation screen in the ED waiting area would be useful. Perceived reasons for attending the ED rather than other health care providers such as primary health care or the general outpatient clinic (GOPC) included: a desire for more detailed investigations (56%); a perception that more professional medical advice was given in the ED (35%); patients were under the continuing care of the hospital (19%); and patients were referred to the ED by other health care professionals (11%). Notably, 26% of participants had considered attending the GOPC prior to attending the ED. Patients educated to tertiary level expected a shorter waiting time than those educated to lesser degrees (p=0.026, Kruskal-Wallis test). Suggestions were made on how to provide a more pleasant ED environment for the wait for consultations, which included the provision of a television screen with sound in the waiting area (43%), more comfortable chairs (37%) and health care promotion programs (32%). Conclusion Patients chose ED services because they believed they would receive more detailed investigations and more professional medical advice than available alternatives. Clear notification of the likely waiting times and enhancement of comfort before consultation are considered desirable by patients. Enhanced public education about the role of the ED and making alternatives to ED care more accessible may be useful in reducing inappropriate ED attendances in Hong Kong.


2012 ◽  
Vol 68 (2) ◽  
Author(s):  
N. Mlenzana ◽  
R. Mwansa

To establish satisfaction level of persons with disabilitiesregarding health services at primary health care centres in Ndola, Zambia.Key stakeholders views on satisfaction of services is an important componentof service rendering thus obtaining information is important in assistingwith the evaluation of health care service delivery. This will assist in improvingeffectiveness and availability of health care services to persons with physicaldisabilities.All persons with disabilities attending both rehabilitation centres andprimary health care centres in Ndola, Zambia, were targeted for this study. Willing participants were convenientlyselected to take part in the study.A cross sectional, descriptive study design using quantitative methods of data collection was used. The GeneralPractice Assessment Questionnaire was adjusted, piloted for Ndola population and used in this study to establishsatisfaction of participants. The study was ethically cleared at the University of the Western Cape and Zambia.Information and consent forms were signed by participants.Quantitative data was analysed descriptively and was reported in percentages.In the current study there were 191 participants of whom 56% were male and 44% were female with age rangefrom 18-65 years. Fifty-two percent of the participants presented with learning disabilities and 38% of persons withphysical disabilities. Majority of clients (54%) were dissatisfied with availability of services and health care servicesat the health care centres. Areas that clients were dissatisfied with were accessibility, consultation with health professionals,waiting times and opening hours of the health care centres.Clients with disabilities who accessed health care services from selected health centres in Ndola were dissatisfiedwith aspects of health services. Accessibility, consultation with health professionals, waiting times and opening hoursof the health care centres were the origin of client dissatisfaction. Other clients were satisfied with thoroughness ofhealth care providers regarding symptoms, feelings, reception and treatment received at the primary health care centre.Understanding the views of the clients is essential in improving health delivery services and could impact on thecompliance of people attending primary health care services.


Author(s):  
Anthony J. O’Brien

Oceania is characterized by the diversity of countries and by highly variable provision of mental health services and community mental health care. Countries such as Australian and New Zealand have well-developed mental health services with a high level of provision, but many less developed countries lack mental health infrastructure. Some developing countries such as Samoa and Tonga have passed mental health legislation with provision for community treatment orders, but this legal measure is probably not a useful mechanism for advancing mental health care in developing countries. Instead, efforts to improve provision of care seem best directed to the primary care sector, and to the general health workforce, rather than to specialists. The UN CRPD offer extensions of human rights to people with mental illness and most countries in Oceania have signed it. However, the absence of a regional rights tribunal potentially limits the realization of those rights.


2018 ◽  
Vol 23 ◽  
Author(s):  
Anna-Therese Swart ◽  
Catherina E. Muller ◽  
Tinda Rabie

Background: Worldwide, patients visiting health care facilities in the public health care sector have to wait for attention from health care professionals. In South Africa, the Cape Triage Score system was implemented successfully in hospitals’ emergency departments in the Cape Metropole. The effective utilisation of triage could improve the flow of primary health care (PHC) patients and direct the patients to the right health care professional immediately.Aim: No literature could be traced on the implementation of triage in PHC facilities in South Africa. Consequently, a study addressing this issue could address this lack of information, reduce waiting times in PHC facilities and improve the quality of care.Setting: PHC facilities in a sub-district of the North West province of South Africa.Method: A quantitative, exploratory, typical descriptive pre-test–post-test design was used. The study consisted of two phases. During phase 1, the waiting time survey checklist was used to determine the baseline waiting times. In phase 2, the Cape Triage Score system that triaged the patients and the waiting time survey checklist were used.Results: Data were analysed using Cohen’s effect sizes by comparing the total waiting times obtained in both phases with the waiting time survey checklist. Results indicated no reduction in the overall waiting time; however, there was a practical significance where triage was applied. Referral was much quicker to the correct health professional and to the hospitals.Conclusion: Although the results indicated no reduction in the overall waiting time of patients, structured support systems and triage at PHC facilities should be used to make referral quicker to the correct health professional and to the hospitals.


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