1
|
Cornell PY, Hua CL, Buchalksi ZM, Chmelka GR, Cohen AJ, Daus MM, Halladay CW, Harmon A, Silva JW, Rudolph JL. Using social risks to predict unplanned hospital readmission and emergency care among hospitalized Veterans. Health Serv Res 2024. [PMID: 38972911 DOI: 10.1111/1475-6773.14353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
OBJECTIVES (1) To estimate the association of social risk factors with unplanned readmission and emergency care after a hospital stay. (2) To create a social risk scoring index. DATA SOURCES AND SETTING We analyzed administrative data from the Department of Veterans Affairs (VA) Corporate Data Warehouse. Settings were VA medical centers that participated in a national social work staffing program. STUDY DESIGN We grouped socially relevant diagnoses, screenings, assessments, and procedure codes into nine social risk domains. We used logistic regression to examine the extent to which domains predicted unplanned hospital readmission and emergency department (ED) use in 30 days after hospital discharge. Covariates were age, sex, and medical readmission risk score. We used model estimates to create a percentile score signaling Veterans' health-related social risk. DATA EXTRACTION We included 156,690 Veterans' admissions to a VA hospital with discharged to home from 1 October, 2016 to 30 September, 2022. PRINCIPAL FINDINGS The 30-day rate of unplanned readmission was 0.074 and of ED use was 0.240. After adjustment, the social risks with greatest probability of readmission were food insecurity (adjusted probability = 0.091 [95% confidence interval: 0.082, 0.101]), legal need (0.090 [0.079, 0.102]), and neighborhood deprivation (0.081 [0.081, 0.108]); versus no social risk (0.052). The greatest adjusted probabilities of ED use were among those who had experienced food insecurity (adjusted probability 0.28 [0.26, 0.30]), legal problems (0.28 [0.26, 0.30]), and violence (0.27 [0.25, 0.29]), versus no social risk (0.21). Veterans with social risk scores in the 95th percentile had greater rates of unplanned care than those with 95th percentile Care Assessment Needs score, a clinical prediction tool used in the VA. CONCLUSIONS Veterans with social risks may need specialized interventions and targeted resources after a hospital stay. We propose a scoring method to rate social risk for use in clinical practice and future research.
Collapse
Affiliation(s)
- Portia Y Cornell
- Center of Innovation for Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Centre for the Digital Transformation of Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Cassandra L Hua
- Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, Massachusetts, USA
| | - Zachary M Buchalksi
- Center of Innovation for Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Gina R Chmelka
- National Social Work Program, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC, USA
- Tomah VA Medical Center, Tomah, Wisconsin, USA
| | - Alicia J Cohen
- Department of Health Services, Policy and Practice, Brown University, Providence, Rhode Island, USA
- Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | | | - Christopher W Halladay
- Center of Innovation for Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Alita Harmon
- National Social Work Program, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC, USA
- Gulf Coast Veterans Health Care System, Biloxi, Mississippi, USA
| | - Jennifer W Silva
- National Social Work Program, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC, USA
| | - James L Rudolph
- Center of Innovation for Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Department of Health Services, Policy and Practice, Brown University, Providence, Rhode Island, USA
- Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| |
Collapse
|
2
|
Í Soylu L, Hansen JB, Kvist M, Burcharth J, Kokotovic D. Health-related quality of life is a predictor of readmission following emergency laparotomy. World J Surg 2024. [PMID: 38898564 DOI: 10.1002/wjs.12260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 06/02/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Health-related quality of life (HRQoL) is a multidimensional concept used to examine the impact of patient-perceived health status on quality of life. Patients' perception of illness affects outcomes in both medical and elective surgical patients; however, not much is known about how HRQoL effects outcomes in the emergency surgical setting. This study aimed to examine if patient-reported HRQoL was a predictor of unplanned readmission after emergency laparotomy. METHODS This study included 215 patients who underwent emergency laparotomy at the Copenhagen University Hospital, Herlev, between August 1, 2021, and July 31, 2022. Patient-reported HRQoL was assessed with the EuroQol group EQ5D index (EQ5D5L descriptive system and EQ-VAS). The population was followed from 0 to 180 days after discharge, and readmissions and days alive and out of hospital were registered. A Cox proportional hazard model was used to examine HRQoL and the risk of readmission within 30 and 180 days. RESULTS Within 30 days, 28.4% of patients were readmitted; within 180 days, the number accumulated to 45.1%. Low self-evaluated HRQoL predicted 180-day readmission and was significantly associated with fewer days out of hospital within both 90 and 180 days. Low HRQoL and discharge with rehabilitation were independent risk factors for short- (30-day) and long-term (180-day) emergency readmission. CONCLUSION Patient-perceived quality of life is an independent predictor of 180-day readmission, and the number of days out of hospital was correlated to self-reported HRQoL.
Collapse
Affiliation(s)
- Lív Í Soylu
- Department of Gastrointestinal and Hepatic Diseases, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Emergency Surgery Research Group Copenhagen (EMERGE Cph), Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Jannick Brander Hansen
- Department of Gastrointestinal and Hepatic Diseases, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Emergency Surgery Research Group Copenhagen (EMERGE Cph), Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Madeline Kvist
- Department of Gastrointestinal and Hepatic Diseases, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Emergency Surgery Research Group Copenhagen (EMERGE Cph), Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Jakob Burcharth
- Department of Gastrointestinal and Hepatic Diseases, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Emergency Surgery Research Group Copenhagen (EMERGE Cph), Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Dunja Kokotovic
- Department of Gastrointestinal and Hepatic Diseases, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
- Emergency Surgery Research Group Copenhagen (EMERGE Cph), Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| |
Collapse
|
3
|
Li C, Mowery DL, Ma X, Yang R, Vurgun U, Hwang S, Donnelly HK, Bandhey H, Akhtar Z, Senathirajah Y, Sadhu EM, Getzen E, Freda PJ, Long Q, Becich MJ. Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.04.24302242. [PMID: 38370703 PMCID: PMC10871446 DOI: 10.1101/2024.02.04.24302242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes. Discussion Despite progress identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.
Collapse
Affiliation(s)
- Chenyu Li
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Danielle L. Mowery
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Xiaomeng Ma
- University of Toronto, Institute of Health Policy Management and Evaluations
| | - Rui Yang
- Duke-NUS Medical School, Centre for Quantitative Medicine
| | - Ugurcan Vurgun
- University of Pennsylvania, Institute for Biomedical Informatics
| | - Sy Hwang
- University of Pennsylvania, Institute for Biomedical Informatics
| | | | - Harsh Bandhey
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Zohaib Akhtar
- Northwestern University, Kellogg School of Management
| | - Yalini Senathirajah
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Eugene Mathew Sadhu
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Emily Getzen
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Philip J Freda
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Qi Long
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Michael J. Becich
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| |
Collapse
|
4
|
Holmen H, Flølo T, Tørris C, Løyland B, Almendingen K, Bjørnnes AK, Albertini Früh E, Grov EK, Helseth S, Kvarme LG, Malambo R, Misvær N, Rasalingam A, Riiser K, Sandbekken IH, Schippert AC, Sparboe-Nilsen B, Sundar TKB, Sæterstrand T, Utne I, Valla L, Winger A, Torbjørnsen A. Unpacking the Public Health Triad of Social Inequality in Health, Health Literacy, and Quality of Life-A Scoping Review of Research Characteristics. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 21:36. [PMID: 38248501 PMCID: PMC10815593 DOI: 10.3390/ijerph21010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/13/2023] [Accepted: 12/21/2023] [Indexed: 01/23/2024]
Abstract
Social inequalities in health, health literacy, and quality of life serve as distinct public health indicators, but it remains unclear how and to what extent they are applied and combined in the literature. Thus, the characteristics of the research have yet to be established, and we aim to identify and describe the characteristics of research that intersects social inequality in health, health literacy, and quality of life. We conducted a scoping review with systematic searches in ten databases. Studies applying any design in any population were eligible if social inequality in health, health literacy, and quality of life were combined. Citations were independently screened using Covidence. The search yielded 4111 citations, with 73 eligible reports. The reviewed research was mostly quantitative and aimed at patient populations in a community setting, with a scarcity of reports specifically defining and assessing social inequality in health, health literacy, and quality of life, and with only 2/73 citations providing a definition for all three. The published research combining social inequality in health, health literacy, and quality of life is heterogeneous regarding research designs, populations, contexts, and geography, where social inequality appears as a contextualizing variable.
Collapse
Affiliation(s)
- Heidi Holmen
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
- Intervention Centre, Oslo University Hospital, 4950 Oslo, Norway
| | - Tone Flølo
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
- Department of Surgery, Voss Hospital, Haukeland University Hospital, 5704 Voss, Norway
| | - Christine Tørris
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Borghild Løyland
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Kari Almendingen
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Ann Kristin Bjørnnes
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Elena Albertini Früh
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Ellen Karine Grov
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Sølvi Helseth
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Lisbeth Gravdal Kvarme
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Rosah Malambo
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Nina Misvær
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Anurajee Rasalingam
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Kirsti Riiser
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway
| | - Ida Hellum Sandbekken
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Ana Carla Schippert
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Bente Sparboe-Nilsen
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
- Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden
| | - Turid Kristin Bigum Sundar
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Torill Sæterstrand
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Inger Utne
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Lisbeth Valla
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
- Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP), 0484 Oslo, Norway
| | - Anette Winger
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| | - Astrid Torbjørnsen
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway; (T.F.); (C.T.); (B.L.); (K.A.); (A.K.B.); (E.A.F.); (E.K.G.); (S.H.); (L.G.K.); (R.M.); (N.M.); (A.R.); (K.R.); (I.H.S.); (A.C.S.); (B.S.-N.); (T.K.B.S.); (T.S.); (I.U.); (L.V.); (A.W.); (A.T.)
| |
Collapse
|
5
|
Trutner ZD, Furlough K, Martinez A, Vetter I, Uhler LM, Haynes A, Jayakumar P. Is Health Literacy Associated With Surgical Outcomes? A Systematic Review. J Surg Res 2023; 291:720-733. [PMID: 37572516 DOI: 10.1016/j.jss.2023.06.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 08/14/2023]
Abstract
INTRODUCTION Low levels of health literacy have been shown to increase healthcare utilization and negatively affect health outcomes within medical specialties. However, the relationship of health literacy with clinical, patient-centered, and process-oriented surgical outcomes is not as well understood. MATERIALS AND METHODS We sought to systematically review the current evidence base regarding the relationship between health literacy and a range of outcomes in patients experiencing surgical care. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched six databases and then identified and extracted data from 25 cross-sectional or cohort studies deemed eligible for a systematic review. RESULTS Among included studies, strong evidence exists to support an association between low health literacy and worse patient-centered outcomes, as well as an association between low health literacy and poorer process-oriented surgical outcomes. However, the relationship between health literacy and clinical outcomes remains unclear. CONCLUSIONS Substantial opportunities remain to improve our understanding of the impact of health literacy on surgical outcomes. Future work should expand the range of institutional and specialized surgical settings studied, implement a standardized set of validated health literacy assessment tools, include more diverse patient populations, and investigate a comprehensive range of patient-reported outcomes.
Collapse
Affiliation(s)
- Zoe D Trutner
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas.
| | - Kenneth Furlough
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| | - Anuska Martinez
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| | - Imelda Vetter
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| | - Lauren M Uhler
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| | - Alex Haynes
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| | - Prakash Jayakumar
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, Texas
| |
Collapse
|
6
|
Smith BP, Girling I, Hollis RH, Rubyan M, Shao C, Jones B, Abbas A, Herbey I, Oates GR, Pisu M, Chu DI. A socioecological qualitative analysis of barriers to care in colorectal surgery. Surgery 2023; 174:36-45. [PMID: 37088570 PMCID: PMC10272108 DOI: 10.1016/j.surg.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/21/2023] [Accepted: 03/12/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND Although specific social determinants of health have been associated with disparities in surgical outcomes, there exists a gap in knowledge regarding the mechanisms of these associations. Gaining perspectives from multiple socioecological levels can help elucidate these mechanisms. Our study aims to identify social determinants of health that act as barriers or facilitators to surgical care among colorectal surgery stakeholders. METHODS We recruited participants representing 5 socioecological levels: patients (individual); caregivers/surgeons (interpersonal); and leaders in hospitals (organizational), communities (community), and government (policy). Patients participated in focus groups, and the remaining participants underwent individual interviews. Semistructured interview guides were used to explore barriers and facilitators to surgical care at each socioecological level. Transcripts were analyzed by 3 coders in an inductive thematic approach with content analyses. The intercoder agreement was 93%. RESULTS Six patient focus groups (total n = 18) and 12 key stakeholder interviews were conducted. The mean age of patients was 54.7 years, 66% were Black, and 61% were female. The most common diseases were colorectal cancer (28%), inflammatory bowel disease (28%), and diverticulitis (22%). Key social determinants of health impacting surgical care emerged at each level: individual (clear communication, mental stress), interpersonal (provider communication and trust, COVID-related visitation restrictions), organizational (multiple forms of contact, quality educational materials, scheduling systems, discrimination), community (community and family support and transportation), and policy (charity care, patient advocacy organizations, insurance coverage). CONCLUSION Key social determinants of health-impacting care among colorectal surgery patients emerged at each socioecological level and may provide targets for interventions to reduce surgical disparities.
Collapse
Affiliation(s)
- Burkely P Smith
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Isabel Girling
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Robert H Hollis
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Michael Rubyan
- University of Michigan School of Public Health, Ann Arbor, MI
| | - Connie Shao
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Bayley Jones
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Alizeh Abbas
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Ivan Herbey
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL
| | - Gabriela R Oates
- Department of Pediatrics, University of Alabama at Birmingham, AL
| | - Maria Pisu
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham and O'Neal Comprehensive Cancer Center, AL
| | - Daniel I Chu
- Department of Surgery, Division of Gastrointestinal Surgery, University of Alabama at Birmingham, AL.
| |
Collapse
|
7
|
Spaulding A, Loomis E, Brennan E, Klein D, Pierson K, Willford R, Hallbeck MS, Reisenauer J. Postsurgical Remote Patient Monitoring Outcomes and Perceptions: A Mixed-Methods Assessment. Mayo Clin Proc Innov Qual Outcomes 2022; 6:574-583. [PMID: 36304524 PMCID: PMC9594118 DOI: 10.1016/j.mayocpiqo.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective To determine how postsurgical remote patient monitoring (RPM) influences readmissions and emergency visits within 30 days of discharge after operation and to understand patient and surgeon perspectives on postsurgical RPM. Patients and Methods This study was conducted at a US tertiary academic medical center between April 1, 2021, and December 31, 2021. This mixed-methods evaluation included a randomized controlled trial evaluation of RPM after operation and a qualitative assessment of patients' and surgeons' perceptions of RPM's acceptability, feasibility, and effectiveness. Results A total of 292 patients participated in the RPM trial, and 147 were assigned to the RPM intervention. Despite a good balance between the groups, results indicated no difference in primary or secondary outcomes between the intervention and control groups. The qualitative component included 11 patients and 9 surgeons. The overarching theme for patients was that the program brought them peace of mind. Other main themes included technological issues and perceived benefits of the RPM platform. The major themes for surgeons included identifying the best patients to receive postsurgical RPM, actionable data collection and use, and improvements in data collection needed. Conclusion Although quantitative results indicate no difference between the groups, postsurgical RPM appears well-accepted from the patient's perspective. However, technological issues could eliminate the benefits. Hospitals seeking to implement similar programs should carefully evaluate which populations to use the program in and seek to collect actionable data.
Collapse
Affiliation(s)
- Aaron Spaulding
- Division of Health Care Delivery Research, Mayo Clinic, Jacksonville, FL,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN,Correspondence: Address to Aaron Spaulding, PhD, Division of Health Care Delivery Research, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Erica Loomis
- Department of Surgery, Mayo Clinic, Rochester, MN
| | - Emily Brennan
- Division of Health Care Delivery Research, Mayo Clinic, Jacksonville, FL,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Diane Klein
- Center for Digital Health, Mayo Clinic, Rochester, MN
| | - Karlyn Pierson
- Department of Surgery Clinical Research Office, Mayo Clinic, Rochester, MN
| | | | - M. Susan Hallbeck
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN,Department of Surgery, Mayo Clinic, Rochester, MN,Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN
| | | |
Collapse
|
8
|
Bucher BT, Yang M, Steed RR, Fraser A, Finlayson SR, Hanson HA. Geographic Proximity of Family Members and Healthcare Utilization After Complex Surgical Procedures. Ann Surg 2022; 276:720-731. [PMID: 35837896 PMCID: PMC9463090 DOI: 10.1097/sla.0000000000005584] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We sought to determine the relationship between a patient's proximal familial social support, defined as the geographic proximity of family members, and healthcare utilization after complex cardiovascular and oncologic procedures. BACKGROUND Social support mechanisms are increasingly identified as modifiable risk factors for healthcare utilization. METHODS We performed a retrospective cohort study of 60,895 patients undergoing complex cardiovascular procedures or oncologic procedures. We defined healthcare utilization outcomes as 30-day all-cause readmission unplanned readmission, nonindex hospital readmission, index hospital length of stay, and home discharge disposition. For each patient, we aggregated the number of first-degree relatives (FDR) living within 30 miles of the patient's home address at the time of the surgical procedure into the following categories: 0 to 1, 2 to 3, 4 to 5, 6+ FDRs. We developed hierarchical multivariable regression models to determine the relationship between the number of FDR living within 30 miles of the patient and the healthcare utilization outcomes. RESULTS Compared with patients with 0 to 1 FDRs, patients with 6+ FDRs living in close proximity had significantly lower rates of all-cause readmission (12.1% vs 13.5%, P <0.001), unplanned readmission (10.9% vs 12.0%, P =0.001), nonindex readmission (2.6% vs 3.2%, P =0.003); higher rates of home discharge (88.0% vs 85.3%, P <0.001); and shorter length of stay (7.3 vs 7.5 days, P =0.02). After multivariable adjustment, a larger number of FDRs living within 30 miles of the patient was significantly associated with a lower likelihood of all-cause readmission ( P <0.001 for trend), 30-day unplanned readmission ( P <0.001), nonindex readmission ( P <0.001); higher likelihood of home discharge ( P <0.001); and shorter index length of stay ( P <0.001). CONCLUSIONS The geographic proximity of family members is significantly associated with decreased healthcare utilization after complex cardiovascular and oncologic surgical procedures.
Collapse
Affiliation(s)
- Brian T. Bucher
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT
| | - Meng Yang
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT
| | | | - Alison Fraser
- Utah Population Database, Huntsman Cancer Institute, Salt Lake City
| | | | - Heidi A. Hanson
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT
- Utah Population Database, Huntsman Cancer Institute, Salt Lake City
| |
Collapse
|
9
|
Eriksen KS, Lode K, Husebø SIE, Kørner H. Exploring variables affecting sense of coherence and social support in recovery after colorectal cancer surgery among the oldest old. Geriatr Nurs 2022; 47:81-86. [PMID: 35878524 DOI: 10.1016/j.gerinurse.2022.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To explore the associations between sense of coherence, perceived social support, and demographic and clinical characteristics among survivors ≥80 years treated for curable colorectal cancer. METHODS This exploratory, cross-sectional survey investigates 56 individuals surgically treated for stage I-III colorectal cancer between one and five years prior. Statistical analysis permitted exploration of associations between sense of coherence, perceived social support, and demographic- and clinical variables. RESULTS Lower sense of coherence was associated with higher age, limitations in physical function, and the need for homecare nursing. Lower perceived social support was associated with re-admission, higher age at time of surgery, and male gender. No correlations were found between sense of coherence and perceived social support. CONCLUSION The results are important for healthcare professionals to consider when dealing with older people who underwent surgery for colorectal cancer, especially in the discharge process to facilitate optimal follow-up care and recovery.
Collapse
Affiliation(s)
- Kristina Sundt Eriksen
- Department of Research, Stavanger University Hospital, Stavanger, Norway; Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway.
| | - Kirsten Lode
- Department of Research, Stavanger University Hospital, Stavanger, Norway; Department of Caring and Ethics, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Sissel Iren Eikeland Husebø
- Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway; Department of Quality and Health Technology, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Hartwig Kørner
- Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| |
Collapse
|