Literature DB >> 28767585

Pent-up demand for surgery in the Manaus metropolitan region: A population-based cross-sectional study.

Priscila Gusmão da Silva Ferreira1, Tais Freire Galvao, Marcus Tolentino Silva.   

Abstract

Waiting lines in healthcare reflect an imbalance between the availability and the demand for medical services. This study aimed to analyze the prevalence and factors associated with the pent-up demand for surgical procedures in the Manaus metropolitan region.We performed a population-based cross-sectional study in 2015. Pent-up demand was based on self-report by the participants; those who reported waiting were contacted by phone to clarify the nature and reasons for the experienced delay.We interviewed 4001 adults in their households. The pent-up demand for surgical procedures in the Manaus metropolitan region was 14% (95% confidence interval: 13-15%). The surgical specialties with the highest demand included orthopedics (18.1%), gynecology (17.0%), ophthalmology (12.4%), neurosurgery (10.8%), and general surgery (10.2%). The main reason for not accessing services was their lack of availability in the public health system, leading some patients to pay for procedures in private facilities. The populations most affected by pent-up demand included elderly individuals, women, and housewives.Pent-up demand for surgical procedures is a common problem in the Manaus metropolitan region and thus requires coordinated actions to optimize access to and capacity of the healthcare system.

Entities:  

Mesh:

Year:  2017        PMID: 28767585      PMCID: PMC5626139          DOI: 10.1097/MD.0000000000007660

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Waiting lines reflect an imbalance between demand and availability.[ In the healthcare system, waiting lines can also be defined as a list of patients requiring similar medical care who receive services according to their position in line. The majority of public hospitals in Brazil have waiting lines, with variations between regions in only the size of the line and the duration of wait time.[ Pent-up demand for surgical procedures has also been observed in countries with universal access to healthcare. Records from the United Kingdom[ and Australia[ indicate that waiting for surgical procedures is an issue even in developed countries. Limited access to health facilities that perform surgical procedures leads to an increase in waiting lines.[ In Brazil, the average waiting time for a surgery exceeds 1 year.[ A patient's condition may worsen during these waiting periods, which can lead to a reduction in both quality of life and socioeconomic status. Waiting times are associated with several problems for patients, such as worsening illness, death, and psychological suffering. A study conducted in São Paulo evaluated the consequences of prolonged waiting among cardiac surgery candidates.[ Waiting was associated with anxiety, continued loss of organic function, and difficulties in family, professional, and social relationships. Additionally, the sample exhibited a decrease in the initial desire to perform surgery and an increase in the perception of uselessness of the procedure.[ Queues negatively affect the economic status of active individuals who are awaiting surgery. Waiting times during working hours induce income losses, the magnitude of which varies among individuals.[ From the individual, health system, and societal perspectives, pent-up demand for surgeries has negative effects on both health-related quality of life and costs. Pent-up demand for surgery is the result of a lack of investment, infrastructure, and health facility materials and personnel.[ In this context, the government must organize the healthcare network and manage the available facilities. These actions must focus on eliminating the barriers to healthcare access, and they must contribute to the improvement of health conditions. Population-based surveys present a way of defining the profile of pent-up demand, especially in less organized contexts, where a list of patients and needed procedures is unavailable. In Brazil, these types of deficiencies are more frequent in less developed settings. In such scenarios, population surveys make it possible to discern the health conditions of the population and the factors associated with pent-up demand.[ This study aims to assess the pent-up demand for surgical procedures in the Manaus metropolitan region and to identify the population characteristics associated with a lack of access to surgery.

Methods

Type of study and setting

This study was part of a major research project entitled “Factors associated with access and use of health materials and services in the Manaus metropolitan region.” Specifically, a population-based survey was performed from May to August 2015 in Manaus, Careiro da Várzea, Iranduba, Itacoatiara, Manacapuru, Novo Airao, Presidente Figueiredo, and Rio Preto da Eva. The sampling design allowed all social classes to be represented.

Sample selection

Adults ≥ 18 years old were eligible for inclusion. The exclusion criterion was a lack of cognitive ability to participate. According to official statistics, the Manaus metropolitan region has 2,106,322 inhabitants who are ≥ 18 years old.[ The required sample size was calculated based on an estimated 50% use of health services. A sample size of 3598 individuals was determined, considering a 95% confidence interval, 2% precision, and design effect of 1.5. An additional 10% was added to compensate for eventual losses, resulting in 4000 subjects to be interviewed. The sampling process accounted for 3 levels. The first level considered 2647 urban census sectors of the Manaus metropolitan region, among which 400 primary and 20 reposition sectors were randomly sorted. The second stage was based on a systematic procedure that aimed to select 10 households in each identified sector. In this process, a random number was used to define the search order of the households, which were selected systematically on every 20 addresses. In the third stage, every resident ≥ 18 years old in the selected households was registered. The selection of the interviewees accounted for predefined quotas of sex and age based on official census to increase representativeness.

Data collection procedures

The interviewed individuals completed a consent form when agreeing to participate in the research. A structured questionnaire with objective questions was then administered to each selected household. The questionnaire was completed on tablets by interviewers who were experienced in quantitative research. A pre-test was performed with 150 participants to validate their understanding of the instrument. Pent-up demand for surgery was measured through the following question: “Has any doctor ever said that you should receive a surgical procedure that you haven’t yet undergone?”’ All participants who reported pent-up demand for surgery were contacted by phone from November to December 2015 to ascertain the cause of delay and the type of surgical procedures needed, which were grouped by specialty.

Statistical methods

Descriptive statistics of the variables measured in the study were obtained. The frequencies of categorical variables were calculated and then stratified to assess the variable-dependent pent-up demand for surgery. The adjusted analyses (multivariate analysis) were weighted by age and gender. Prevalence ratios (PRs) were calculated using Poisson regression with robust variance to estimate the association between pent-up demand and the independent variables.[ To minimize random effects, sensitivity analyses were performed by repeating calculations with random subsamples (bootstrap analysis).[ Bonferroni correction was used to conservatively estimate the statistically significant variables.[ There was no incomplete data imputation. All analyses were performed with Stata software (version 14.2, StataCorp, College Station, TX), considering a 95% confidence interval (CI), a 5% value of statistical significance, and correction for the complex sampling design (svy command).

Ethical considerations

The research was approved by the Federal University of Amazonas Research Ethics Committee, document number 974.428/2015. All participants signed a consent form. After database validation, participant data were encrypted to conceal any personal identifying information.

Results

Sample composition and participant characteristics

In total, 4001 people were interviewed. The Manaus metropolitan region comprised a young population mainly between 18 and 34 years of age, with a majority of female and mixed race individuals mostly concentrated in the capital, Manaus (Table 1). Employees and/or self-employed individuals represented over half of the interviewed sample; health insurance coverage was available to a smaller portion of the population.
Table 1

Sample characteristics and pent-up demand for surgery in the Manaus metropolitan region, 2015.

Sample characteristics and pent-up demand for surgery in the Manaus metropolitan region, 2015.

Main findings

The pent-up demand for surgical procedures among adults living in the Manaus metropolitan region was 14% (95% CI: 13-15%). Regarding the phone calls with the 561 participants who had a formal medical indication for a surgical procedure, 34.2% of the sample was lost due to the inability to contact them by phone. Among the reported surgical specialties, orthopedics, gynecology, ophthalmology, neurosurgery, and general surgery were the highest in demand (Table 2).
Table 2

Pent-up demand by surgical specialty and reasons in the Manaus metropolitan region, 2015 (n = 369).

Pent-up demand by surgical specialty and reasons in the Manaus metropolitan region, 2015 (n = 369). The main reasons for pent-up demand of surgery reported included delay in scheduling blood and imaging tests, appointments, and surgical procedures (55.7%). A smaller portion of the participants reported that did not undergo the procedures due to a lack of time (1.9%), and 4.1% stated that they feared undergoing the procedure. The waiting times caused 11.9% of the individuals to give up on the health system and to self-fund the procedures in private health facilities instead. Other reasons accounted for 24.9% of pent-up demand of surgery and included lack of availability of these procedures in their region or through the public health system.

Secondary findings

Table 3 shows the results of the unadjusted and adjusted data analyses. The upper age groups were more in need of surgery (RP = 2.72; 95% CI: 2.00–3.68 for those 60 years of age or more compared to those in the youngest stratum). Pent-up demand in the region was more frequent among women (RP = 1.50; 95% CI: 1.28–1.76) and housewives (RP = 1.84; 95% CI: 1.15–2.94). The lowest recorded prevalence of pent-up demand for surgery was in Itacoatiara (RP = 0.22; 95% CI: 0.10–0.53). No association between pent-up demand for surgery and ethnicity, health insurance coverage, or social class was observed.
Table 3

Prevalence ratio (PR) of the pent-up demand for surgery in the Manaus metropolitan region, 2015 (n = 4001).

Prevalence ratio (PR) of the pent-up demand for surgery in the Manaus metropolitan region, 2015 (n = 4001).

Discussion

Synthesis of results

A significant portion of adults (14%) were in need of surgery. Lack of access to surgical procedures in the region affected the most fragile segments of the population (elderly individuals and women) and those with lower economic capacity (retired individuals or home workers). These results reveal that difficulty accessing surgery in the region affected more socially vulnerable individuals on a larger scale. The surgical specialties with the highest demand were orthopedics, gynecology, ophthalmology, neurosurgery, and general surgery. Other Brazilian studies have shown similar results.[ Waiting lines for procedures within these specialties have long been a reality in several regions of the country. Our research describes the current health status of the population in the Manaus metropolitan region and the pent-up demand for surgery.

Research validity

Our study has several limitations, including selection bias. Sorted individuals were free to participate in the study.[ There was also a risk of survival bias, as some surgical needs prevent patients from staying at home, including institutionalized and nonsurviving patients, who were consequently not interviewed. Measurement bias can also be considered, as some participants may have omitted their need for surgery, had difficulty understanding the terms used in the questionnaire or been uncomfortable during the interview.[ Finally, the losses detected during the phone audit may have led to under- or overestimation of the reasons for pent-up demand.

Comparison with the literature and interpretation of findings

The demand for surgical procedures was higher among female and elderly individuals, similar to the findings of the National Sampling Households Research.[ In Brazil, elderly individuals have a higher use of health facilities due to organic frailty, and they also incur a significant increase in medical expenses.[ Additionally, women use health services more than men. Previous findings indicate that the notion of healthcare needs seems to differ between genders. Unlike men, women more readily report their health issues, reflecting inequalities in disease perception and in care seeking. Among the studied cities, Itacoatiara showed the lowest levels of pent-up demand for surgical procedures despite having the second largest population in the region, second only to Manaus.[ Some participants reported being fearful of the proposed procedure and consequently gave up on receiving it. This fear may be associated with the inherent risks of the surgical procedure itself or with the use of anesthesia. Fear can also be related to uncertainties about the future based on the individual's chances of dying and possible complications.[ The unknown surgical procedures can cause uneasiness as well as patient stress, which is the main reason for preoperative fear. Providing universal healthcare coverage in Brazil is a major challenge. The Ministry of Health first attempted to broaden access to these procedures by implementing the Elective Surgery Taskforces in 1999,[ which aimed to reduce the waiting lines for cataract, diabetic retinopathy, and prostate surgical procedures. These taskforces were intended to resolve a specific national demand and thus resulted in a reduction in waiting times for only the aforementioned procedures. However, as they did not contribute to the organization of a health services network, new demands for these types of procedures eventually reappeared, and the waiting lines for other surgical specialties also increased. Accordingly, the Ministry of Health established the National Policy for Elective Surgical Procedures in 2005.[ This policy aimed to improve access to specialized care by stimulating awareness of demand and reorganizing the network to improve the feasibility of preoperative tests and procedures. One of the final improvements was the reformulation of the prioritized surgical procedures list to contain eleven specialties,[ including orthopedics, gynecology, ophthalmology, neurosurgery, and general surgery, which were identified and mentioned in our study. Despite the efforts of the Ministry of Health in partnership with both state and city administrations to reduce the demands for elective surgery, access to these procedures remains deficient. Another initiative to mitigate waiting times and maintain transparency involves the publication of health facilities’ waiting lists to give patients an estimate of their anticipated wait time.

Conclusions

The data show that for every 100 adults in the Manaus metropolitan region, 14 are in need of surgery but do not have access to it. Orthopedics, gynecology, ophthalmology, neurosurgery, and general surgery are the fields with the highest surgical demands. The main reason for not receiving a surgical procedure was found to be lack of access to treatment in the public health system, which led some of the population to pay the costs in private facilities. Patients who were elderly, retired, female, and housewives were the most affected by this pent-up demand. Pent-up demand for surgical procedures is a common problem in public health systems. However, few studies are available on this subject, especially with population representativeness. The results of our study identify aspects of pent-up demand that can be targeted to support the local health administration. More studies on this subject are needed to quantify the pent-up demand for surgery in other regions of Brazil.
  10 in total

1.  Are waiting lists inevitable?

Authors:  A Street; S Duckett
Journal:  Health Policy       Date:  1996-04       Impact factor: 2.980

2.  A synopsis of resampling techniques.

Authors:  Alessandro Brunelli
Journal:  J Thorac Dis       Date:  2014-12       Impact factor: 2.895

3.  Multiple significance tests: the Bonferroni method.

Authors:  J M Bland; D G Altman
Journal:  BMJ       Date:  1995-01-21

4.  [Barriers in the access to senile cataract treatment at Altino Ventura Foundation].

Authors:  Danielle Maria Gomes de Lima; Liana Oliveira Ventura; Carlos Teixeira Brandt
Journal:  Arq Bras Oftalmol       Date:  2005-07-26       Impact factor: 0.872

5.  Consequences of the prolonged waiting time for patient candidates for heart surgery.

Authors:  Nagib Haddad; Olímpio J N V Bittar; Ana A M Pereira; Maria Barbosa da Silva; Vivian L Amato; Pedro S Farsky; Auristela I O Ramos; Marcelo Sampaio; Tarcísio L V Almeida; Dikran Armaganijan; José Eduardo M R Sousa
Journal:  Arq Bras Cardiol       Date:  2002-05       Impact factor: 2.000

6.  Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey.

Authors:  Célia L Szwarcwald; Paulo R B Souza-Júnior; Giseli N Damacena
Journal:  BMC Health Serv Res       Date:  2010-07-23       Impact factor: 2.655

7.  [Reproductive rights of women and men in light of new legislation on voluntary sterilization in Brazil].

Authors:  Elza Berquó; Suzana Cavenaghi
Journal:  Cad Saude Publica       Date:  2004-03-08       Impact factor: 1.632

8.  Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio.

Authors:  Aluísio J D Barros; Vânia N Hirakata
Journal:  BMC Med Res Methodol       Date:  2003-10-20       Impact factor: 4.615

9.  Access to surgical assistance: challenges and perspectives.

Authors:  Maria Fernanda do Prado Tostes; Eduardo Rocha Covre; Carlos Alexandre Molena Fernandes
Journal:  Rev Lat Am Enfermagem       Date:  2016-03-28

10.  [The problem of waiting lines for otorhinolaryngology surgeries in public services].

Authors:  Krishnamurti Matos de Araujo Sarmento Junior; Shiro Tomita; Arthur Octavio de Avila Kos
Journal:  Braz J Otorhinolaryngol       Date:  2005-12-14
  10 in total
  2 in total

1.  Use of health services by adults in Manaus, 2019: Protocol of a population-based survey.

Authors:  Marcus Tolentino Silva; Bruno Pereira Nunes; Tais Freire Galvao
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

2.  Health services utilization in the Brazilian Amazon: panel of two cross-sectional studies.

Authors:  Gustavo Magno Baldin Tiguman; Marcus Tolentino Silva; Taís Freire Galvão
Journal:  Rev Saude Publica       Date:  2022-02-23       Impact factor: 2.106

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.