Factors that contribute to disparities in time to acute leukemia diagnosis in young people: an in depth qualitative

Lucky Ding1, Julia E Szymczak2, Erica Evans1

  • 1University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.

BMC Cancer
|May 13, 2022
PubMed

Insights

Delays in diagnosing pediatric leukemia are often due to non-medical factors like appointment access and financial concerns, disproportionately affecting minority families. Addressing these systemic issues in primary care is key to reducing disparities.

Area of Science:

  • Pediatric Oncology
  • Health Services Research
  • Health Disparities

Background:

  • Racial and ethnic disparities in pediatric acute leukemia outcomes are known.
  • Determinants of diagnostic delays in US pediatric leukemia are understudied.

Purpose of the Study:

  • Identify factors contributing to delays before pediatric leukemia diagnosis.
  • Understand parental experiences with the diagnostic process.

Main Methods:

  • Qualitative study using in-depth semi-structured interviews.
  • Purposive sampling for diversity in race, ethnicity, income, and language.
  • Analysis using inductive theory-building and constant comparative method; chart review for data complementation.

Main Results:

  • Parents reported frustration when intuition conflicted with provider decisions and felt testing was delayed.
  • Delays stemmed from symptom misattribution, appointment access issues, and financial barriers.
  • Low-income Black and Hispanic participants disproportionately reported appointment and financial concerns.

Conclusions:

  • Non-disease-related factors significantly contribute to diagnostic delays in pediatric leukemia.
  • Addressing diagnostic timeliness in primary care is crucial for reducing outcome disparities.
  • Systemic interventions are needed to mitigate delays and improve equity in pediatric cancer care.
Abstract

Related Concept Videos

Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.5K
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.5K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
727
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
470
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
308
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
211