MétaCan
Menu
Retour à la cohorte
Enregistrement W4210468251 · doi:10.1016/j.xkme.2022.100430

Location, Location, Location: Usual Source of Care, Kidney Disease Outcomes, and the Social Determinants of Health

2022· letter· en· W4210468251 sur OpenAlexafffund
Robert R. Quinn, Pietro Ravani, Ngan N. Lam

Notice bibliographique

RevueKidney Medicine · 2022
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensUniversity of Calgary
Organismes subventionnairesUniversity of Calgary
Mots-clésSocial determinants of healthSocioeconomic statusHealth careRace and healthHealth equityMedicineGerontologyPublic healthPolitical scienceEnvironmental healthNursingPopulationLaw

Résumé

récupéré en direct d'OpenAlex

Related article, p ● Related article, p ● The World Health Organization’s Commission for the Social Determinants of Health put forward a conceptual framework for understanding how “social, economic, and political mechanisms give rise to a set of socioeconomic positions, whereby populations are stratified according to income, education, occupation, gender, race/ethnicity, and other factors.”1Solar O. Irwin A. A conceptual framework for action on the social determinants of health. Social Determinants of Health Discussion Paper 2 (Policy and Practice). World Health Organization, Geneva, Geneva2010Google Scholar These socioeconomic positions influence the downstream, intermediary determinants of health status, such as living and working conditions, food security, and behavioral/biological/psychological factors, and reflect their place within social hierarchies. Further, individuals may experience differences in likelihood of exposure to health-compromising conditions and have different vulnerability to these exposures. The health system itself can act as an intermediary determinant of health that influences access to care, outcomes through intersectoral action, and the differential consequences of illness in peoples’ lives. In this issue of Kidney Medicine, Toth-Manikowski et al2Toth-Manikowski S.M., Hsu J.Y., et al. Emergency department/urgent care as usual source of care and clinical outcomes in CKD: findings from the CRIC Study. Kidney Med. Published online February 1, 2022. https://doi.org/10.1016/j.xkme.2022.100424Google Scholar report findings from an analysis of the Chronic Renal Insufficiency Cohort Study. The authors examined the outcomes of the individuals who received their routine care in the preferred clinic setting compared to the hospital emergency department (ED) or an urgent care center (ED/Urgent Care). Individuals who sought care in an ED/Urgent Care setting had a higher crude rate of end-stage kidney disease, atherosclerotic events, incident congestive heart failure, hospitalization, and death. After adjustment for baseline patient characteristics, the hazard for hospitalization and death remained significantly higher among those receiving routine care in the ED/Urgent Care setting. It may be that presenting to the ED makes it more likely that an individual would be hospitalized than if they had sought care in an outpatient clinic, particularly if outpatient follow-up is not possible or unavailable. However, the absolute differences in the rates of hospitalization were much larger than one would expect based solely on that factor. Individuals who are seen regularly in a clinic setting are more likely to receive preventive care, to have health issues identified earlier, and to benefit from treatments that may delay or avoid progression to the point that an individual requires admission to hospital. This likely applies to all areas of their health, not just chronic kidney disease-related care, and may explain the observed differences in hospitalization and mortality. Primary and subspecialty care in individuals with chronic kidney disease largely focuses on slowing progression of disease, modifying cardiovascular risk, and addressing the complications of kidney disease. While it was not clear who provided the clinic-based care or how frequently patients were seen in this study, it was reassuring that these patients appeared to have better control of cardiovascular risk factors at baseline and that crude rates of events were lower. It is tempting to attribute the observed benefits to the location where they seek care, but it may also be that where individuals seek care is a surrogate for other factors that influence health outcomes, as the authors acknowledge. Nine percent of the Chronic Renal Insufficiency Cohort received their usual care in the ED/Urgent Care setting, and they were more likely to be members of a racial/ethnic minority group, have less than a high-school education, earn an income of less than $20,000 per year, and be permanently disabled. It was clear that the location where individuals sought outpatient care was a surrogate for important social determinants of health, the impacts of which are well known and have been demonstrated across many health conditions, including chronic kidney disease. The authors modeled the associations between location of usual care and the outcomes of interest using 3 models: an unadjusted model (Model 1); a model adjusted for age, sex, race/ethnicity, education, and income (Model 2); and a model that also adjusted for laboratory variables, medication use, lifestyle behaviors, and blood pressure (Model 3). Model 2, in essence, adjusted for age and social determinants of health, while Model 3 added adjustment for what could be considered intermediary determinants of health.1Solar O. Irwin A. A conceptual framework for action on the social determinants of health. Social Determinants of Health Discussion Paper 2 (Policy and Practice). World Health Organization, Geneva, Geneva2010Google Scholar It is interesting to frame it in this way because once the authors accounted for the social determinants of health, adjusting for traditional risk factors for the outcomes of interest did not materially change the results. In other words, the majority of the variance in outcomes between groups who did or did not seek care through the ED/Urgent Care was explained by age and social determinants of health. This has important implications for initiatives aimed at improving kidney outcomes in marginalized populations and highlights the importance of considering the influence of upstream factors on health outcomes. The drivers of racial/ethnic disparities are complex and multifactorial, but relate to biological differences in susceptibility to disease and risk of progression, environmental and socioeconomic factors, health beliefs, and clinical and health policies that affect care delivery.3Powe N.R. The pathogenesis of race and ethnic disparities: targets for achieving health equity.Clin J Am Soc Nephrol. 2021; 16: 806-808Google Scholar Poverty mediates its effects through low income, an inability to navigate the system due to poor health literacy, and the impact of social exclusion as a result of institutional behaviors, policies, and practices.4Norris K.C. Beech B.M. Social determinants of kidney health: focus on poverty.Clin J Am Soc Nephrol. 2021; 16: 809-811Google Scholar The lack of healthcare insurance or being underinsured with high copayments is a barrier to care, and insurance status has been shown to influence the risk of kidney failure and death, even after accounting for other factors.5Nicholas S.B. Kalantar-Zadeh K. Norris K.C. Socioeconomic disparities in chronic kidney disease.Adv Chronic Kidney Dis. 2015; 22: 6-15Google Scholar These issues have long been identified as important determinants of health overall and within the chronic kidney disease population, and while some progress has been made, racial and ethnic disparities in measures of health persist. Data from the Agency for Healthcare Research and Quality suggested that minority groups lagged behind others in 35%-40% of important indicators of the quality of healthcare in the United States in 2018.6Agency for Healthcare Research and Quality2018 National Healthcare Quality and Disparities Report. Rockville, 2019Google Scholar The path forward likely requires a better understanding of the patient perspective; a health care workforce that is trained to understand the social determinants of health and becomes an advocate for change; the ability to tackle the inequitable distribution of money, resources, and power; and concerted efforts to improve the conditions of daily life for disadvantaged populations.7Marmot M. Friel S. Bell R. Houweling T.A. Taylor S. Commission on Social Determinants of HealthClosing the gap in a generation: health equity through action on the social determinants of health.Lancet. 2008; 372: 1661-1669Google Scholar It will be essential for healthcare providers to understand patients in the context of their communities and value systems and be aware of their perspectives and how they might influence care. Mistrust of the medical establishment, a lack of emotional and financial resources to deal with illness, the psychological toll of coming to terms with a diagnosis of a chronic disease, and a lack of understanding and knowledge that is a prerequisite to self-management and adherence may all play a role.8Cukor D. Edwards D.P. New York Academy of Medicine’s 2020 Alison Norris Symposium. Personal experiences of patients in the interaction of culture and kidney disease.Clin J Am Soc Nephrol. 2021; 16: 818-819Google Scholar Limited access to childcare, lack of transportation, limited health literacy and proficiency in English, economic instability, and poor insurance coverage are further barriers to accessing, receiving, and adhering to care that must be addressed.9Pereira R.I. Cervantes L. Reducing the burden of CKD among Latinx: a community-based approach.Clin J Am Soc Nephrol. 2021; 16: 812-814Google Scholar Partnering with social services and community-based organizations and leveraging community health workers to implement evidence-based interventions at community-based locations such as churches, grocery stores, and schools can facilitate the provision of linguistically and culturally tailored approaches to improving health outcomes and has been tried with success.10Cervantes L. Hasnain-Wynia R. Steiner J.F. Chonchol M. Fischer S. Patient navigation: addressing social challenges in dialysis patients.Am J Kidney Dis. 2020; 76: 121-129Google Scholar In summary, the study by Toth-Manikowski et al2Toth-Manikowski S.M., Hsu J.Y., et al. Emergency department/urgent care as usual source of care and clinical outcomes in CKD: findings from the CRIC Study. Kidney Med. Published online February 1, 2022. https://doi.org/10.1016/j.xkme.2022.100424Google Scholar highlights the ongoing disparities that influence the health outcomes of individuals in the United States and will require the coordinated efforts of patients, providers, and policymakers to address the upstream determinants of health. It is a difficult mountain to climb, but a necessary journey. Robert R. Quinn, MD, PhD, FRCPC, Pietro Ravani, MD, PhD, FRCPC, and Ngan N. Lam, MD, MSc, FRCPC. None. The authors declare that they have no relevant financial interests. Received January 14, 2022 in response to an invitation from the journal. Accepted January 17, 2022 after editorial review by the Editor-in-Chief. Emergency Department/ Urgent Care as Usual Source of Care and Clinical Outcomes in CKD: Findings From the CRIC (Chronic Renal Insufficiency Cohort) StudyKidney MedicinePreviewPatients with chronic kidney disease (CKD) are medically complex and may benefit from having coordinated care, most easily provided in a clinic setting. We sought to evaluate how certain outcomes differed among patients with CKD based on where they usually seek medical care. We used data from the Chronic Renal Insufficiency Cohort Study and found that individuals who usually went to an emergency department (ED) or urgent care were more likely to be hospitalized or die compared to those who primarily received care in a clinic. Our work identifies CKD patients who use the ED or urgent care as high-risk, and highlights the importance of understanding barriers to accessing clinic-based care in order to improve health care in this group. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,102
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,361
Écart entre enseignants0,330 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueKidney MedicineMême sujetHealth disparities and outcomesTravaux en français237 207