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Shawahna R, Amer R, Salameh H, Shawahna AR, Aljondy M, Zain-Aldain M. Adherence to the evidence-based recommendations in managing bone health, pain, and mobility of patients with multiple myeloma: a mixed method in the Palestinian healthcare system. BMC Cancer 2024; 24:301. [PMID: 38443861 PMCID: PMC10916152 DOI: 10.1186/s12885-024-12024-z] [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: 03/09/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Consensus/evidence-based recommendations for assessing, managing, and monitoring bone health, pain, and mobility in patients with multiple myeloma were developed. This study was conducted to assess the adherence of the hematologists-oncologists to the consensus/evidence-based recommendations for assessing, managing, and monitoring bone health, pain, and mobility in patients with multiple myeloma who received care in the Palestinian healthcare system. METHODS A mixed method was used in this study. The consensus/evidence-based recommendations were identified through a systematic search in Scopus, PubMed, SpringerLink, ScienceDirect, and Google Scholar. A panel of 5 researchers (3 hematologists-oncologists, 3 medical students, and 1 pharmacologist) sorted the consensus/evidence-based recommendations and developed the survey tool during 3 iterative meetings. The extent to which the hematologists-oncologists in the 5 centers caring for patients with multiple myeloma adhered to the consensus/evidence-based recommendations was assessed using a questionnaire. RESULTS Responses were collected from 10 hematologists-oncologists in all 5 healthcare centers where patients with multiple myeloma receive healthcare in the West Bank of Palestine. The median number of years in the practice of the hematologists-oncologists was 7.5 [2.75, 14.0] years and the median number of patients with multiple myeloma care per month was 12.5 [7.5, 21.25]. The vast majority (90%) of the hematologists-oncologists reported inadequate adherence to screening for medication problems related to bone health, pain, cardiopulmonary fitness, healthy behaviors, nutritional deficits, and mental health. Of the hematologists-oncologists, 70% reported inadequate adherence to ordering and evaluating calcium, vitamin D, alkaline phosphatase, electrolytes, and phosphorus levels to monitor bone health and 60% reported inadequate adherence to prescribing calcium and vitamin D supplements whenever there was a need. CONCLUSION The findings of this study suggested inadequate adherence to the consensus/evidence-based recommendations and highlighted areas for improvement to ensure that patients receive optimal care. The findings suggested a need for further education and training on the latest guidelines and recommendations. Decision-makers and policymakers might need to design measures and implement policies to improve adherence to the consensus/evidence-based recommendations. Addressing these gaps in adherence to the consensus/evidence-based recommendations may improve the care and outcomes of patients with multiple myeloma.
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Affiliation(s)
- Ramzi Shawahna
- Department of Physiology, Pharmacology and Toxicology, Faculty of Medicine and Health Sciences, An-Najah National University, New Campus, Building: 19, Office: 1340, Nablus, P.O. Box 7, Palestine.
- Clinical Research Center, An-Najah National University Hospital, 44839, Nablus, Palestine.
| | - Riad Amer
- Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
- Hematology and Oncology, An-Najah National University Hospital, 44839, Nablus, Palestine
| | - Husam Salameh
- Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
- Hematology and Oncology, An-Najah National University Hospital, 44839, Nablus, Palestine
| | - Abdul-Rahman Shawahna
- Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
| | - Mohmmad Aljondy
- Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
| | - Mohmmad Zain-Aldain
- Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
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Bierbaum M, Rapport F, Arnolda G, Tran Y, Nic Giolla Easpaig B, Ludlow K, Clay-Williams R, Austin E, Laginha B, Lo CY, Churruca K, van Baar L, Hutchinson K, Chittajallu R, Owais SS, Nullwala R, Hibbert P, Fajardo Pulido D, Braithwaite J. Rates of adherence to cancer treatment guidelines in Australia and the factors associated with adherence: A systematic review. Asia Pac J Clin Oncol 2023; 19:618-644. [PMID: 36881529 DOI: 10.1111/ajco.13948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/01/2023] [Accepted: 02/03/2023] [Indexed: 03/08/2023]
Abstract
Adherence to cancer treatment clinical practice guidelines (CPGs) varies enormously across Australia, despite being associated with improved patient outcomes. This systematic review aims to characterize adherence rates to active-cancer treatment CPGs in Australia and related factors to inform future implementation strategies. Five databases were systematically searched, abstracts were screened for eligibility, a full-text review and critical appraisal of eligible studies performed, and data extracted. A narrative synthesis of factors associated with adherence was conducted, and the median adherence rates within cancer streams calculated. A total of 21,031 abstracts were identified. After duplicates were removed, abstracts screened, and full texts reviewed, 20 studies focused on adherence to active-cancer treatment CPGs were included. Overall adherence rates ranged from 29% to 100%. Receipt of guideline recommended treatments was higher for patients who were younger (diffuse large B-cell lymphoma [DLBCL], colorectal, lung, and breast cancer); female (breast and lung cancer), and male (DLBCL and colorectal cancer); never smokers (DLBCL and lung cancer); non-Indigenous Australians (cervical and lung cancer); with less advanced stage disease (colorectal, lung, and cervical cancer), without comorbidities (DLBCL, colorectal, and lung cancer); with good-excellent Eastern Cooperative Oncology Group performance status (lung cancer); living in moderately accessible places (colon cancer); and; treated in metropolitan facilities (DLBLC, breast and colon cancer). This review characterized active-cancer treatment CPG adherence rates and associated factors in Australia. Future targeted CPG implementation strategies should account for these factors, to redress unwarranted variation particularly in vulnerable populations, and improve patient outcomes (Prospero number: CRD42020222962).
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Affiliation(s)
- Mia Bierbaum
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Centre for Research Excellence in Implementation Science in Oncology, AIHI, Macquarie University, Sydney, Australia
| | - Yvonne Tran
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Centre for Research Excellence in Implementation Science in Oncology, AIHI, Macquarie University, Sydney, Australia
| | - Brona Nic Giolla Easpaig
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Centre for Research Excellence in Implementation Science in Oncology, AIHI, Macquarie University, Sydney, Australia
| | - Kristiana Ludlow
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Elizabeth Austin
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Bela Laginha
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Chi Yhun Lo
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Kate Churruca
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Lieke van Baar
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Karen Hutchinson
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Renuka Chittajallu
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Riverina Cancer Care Centre, Wagga Wagga, New South Wales, Australia
- GenesisCare, Kingswood, New South Wales, Australia
| | - Syeda Somyyah Owais
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
| | - Ruqaiya Nullwala
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- North Eastern Public Health Unit, Eastern Health, Melbourne, Victoria, Australia
| | - Peter Hibbert
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health & Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Diana Fajardo Pulido
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales, Australia
- Centre for Research Excellence in Implementation Science in Oncology, AIHI, Macquarie University, Sydney, Australia
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Mateos MV, Ailawadhi S, Costa LJ, Grant SJ, Kumar L, Mohty M, Aydin D, Usmani SZ. Global disparities in patients with multiple myeloma: a rapid evidence assessment. Blood Cancer J 2023; 13:109. [PMID: 37460466 PMCID: PMC10352266 DOI: 10.1038/s41408-023-00877-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/05/2023] [Accepted: 06/15/2023] [Indexed: 07/20/2023] Open
Abstract
There are disparities in outcomes for patients with multiple myeloma (MM). We evaluated the influence of sociodemographic factors on global disparities in outcomes for patients with MM. This rapid evidence assessment (PROSPERO, CRD42021248461) followed PRISMA-P guidelines and used the PICOS framework. PubMed and Embase® were searched for articles in English from 2011 to 2021. The title, abstract, and full text of articles were screened according to inclusion/exclusion criteria. The sociodemographic factors assessed were age, sex, race/ethnicity, socioeconomic status, and geographic location. Outcomes were diagnosis, access to treatment, and patient outcomes. Of 84 articles included, 48 were US-based. Worldwide, increasing age and low socioeconomic status were associated with worse patient outcomes. In the US, men typically had worse outcomes than women, although women had poorer access to treatment, as did Black, Asian, and Hispanic patients. No consistent disparities due to sex were seen outside the US, and for most factors and outcomes, no consistent disparities could be identified globally. Too few studies examined disparities in diagnosis to draw firm conclusions. This first systematic analysis of health disparities in patients with MM identified specific populations affected, highlighting a need for additional research focused on assessing patterns, trends, and underlying drivers of disparities in MM.
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Affiliation(s)
| | - Sikander Ailawadhi
- Division of Hematology/Oncology, Department of Medicine, Mayo Clinic, Jackson, FL, USA
| | - Luciano J Costa
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Shakira J Grant
- Department of Medicine, Division of Hematology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lalit Kumar
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Mohamad Mohty
- Sorbonne University, Department of Hematology, Saint-Antoine Hospital, Paris, France
| | | | - Saad Z Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Lancman G, Moshier E, Cho HJ, Parekh S, Richard S, Richter J, Rodriguez C, Rossi A, Sanchez L, Jagannath S, Chari A. Trial designs and endpoints for immune therapies in multiple myeloma. Am J Hematol 2023; 98 Suppl 2:S35-S45. [PMID: 36200130 DOI: 10.1002/ajh.26753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/18/2022] [Accepted: 09/29/2022] [Indexed: 11/08/2022]
Abstract
Immune therapies, including CAR-T cells, bispecific antibodies, and antibody-drug conjugates, are revolutionizing the treatment of multiple myeloma. In this review, we discuss clinical trial design considerations relevant to immune therapies. We first examine issues pertinent to specific populations, including elderly, patients with renal impairment, high-risk/extramedullary disease, and prior immune therapies. We then highlight trial designs to optimize the selection of dose and schedule, explore rational combination therapies based on preclinical data, and evaluate the nuances of commonly used endpoints. By exploiting their pharmacokinetic/pharmacodynamic profiles and utilizing novel translational insights, we can optimize the use of immune therapies in multiple myeloma.
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Affiliation(s)
- Guido Lancman
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Erin Moshier
- Department of Population Health Science and Policy, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Hearn Jay Cho
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Samir Parekh
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Shambavi Richard
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Joshua Richter
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Cesar Rodriguez
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Adriana Rossi
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Larysa Sanchez
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Sundar Jagannath
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Ajai Chari
- Department of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
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McQuilten Z, Wellard C, Moore E, Augustson B, Bergin K, Blacklock H, Harrison S, Ho PJ, King T, Quach H, Mollee P, Rosengarten B, Walker P, Wood E, Spencer A. Predictors of early mortality in multiple myeloma: Results from the Australian and New Zealand Myeloma and Related Diseases Registry (MRDR). Br J Haematol 2022; 198:830-837. [PMID: 35818641 PMCID: PMC9541953 DOI: 10.1111/bjh.18324] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/02/2022] [Accepted: 06/09/2022] [Indexed: 11/29/2022]
Abstract
The frequency and causes of early mortality in patients with newly diagnosed multiple myeloma (NDMM) have not been well described in the era of novel agents. We investigated early mortality in a prospective cohort study of all patients with NDMM registered on the Australian and New Zealand Myeloma and Related Diseases Registry (MRDR) at 36 institutions between July 2011 and March 2020. Early mortality was defined as death from any cause within the first 12 months after diagnosis. A total of 2377 patients with NDMM were included in the analysis, with a median (interquartile range) age of 67.4 (58.9–74.60 years, and 60% were male. Overall, 216 (9.1%) patients died within 12 months, with 119 (4.5%) having died within 6 months. Variables that were independent predictors of early mortality after adjustment in multivariable regression included age (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.05–1.08; p < 0.001), Eastern Cooperative Oncology Group performance status (OR 1.50, 95% CI 1.26–1.79; p < 0.001), serum albumin (OR 0.95, 95% CI 0.93–0.98; p < 0.001), cardiac disease (OR 1.96, 95% CI 1.35–2.86; p < 0.001) and International Staging System (OR 1.40, 95% CI 1.07–1.82; p = 0.01). For those with a primary cause of death available, it was reported as disease‐related in 151 (78%), infection 13 (7%), other 29 (15%). Infection was listed as a contributing factor for death in 38% of patients.
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Affiliation(s)
- Zoe McQuilten
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Cameron Wellard
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Elizabeth Moore
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | | | | | | | - Simon Harrison
- Peter MacCallum Cancer Centre/Royal Melbourne Hospital, Melbourne, Australia
| | - P Joy Ho
- Royal Prince Alfred Hospital, Sydney, Australia
| | - Tracy King
- Royal Prince Alfred Hospital, Sydney, Australia
| | - Hang Quach
- St.Vincent's Hospital, Melbourne, Australia
| | - Peter Mollee
- Princess Alexandra Hospital and University of Queensland, Brisbane, Australia
| | | | | | - Erica Wood
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
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Jones A, Bowcock S, Rachet B. Survival trends in elderly myeloma patients. Eur J Haematol 2021; 106:126-131. [PMID: 33037667 DOI: 10.1111/ejh.13530] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Myeloma is primarily a disease of the elderly, but older patients experience poorer outcomes. Effective treatments may not be offered to older patients over fears about toxicity, particularly for those with comorbidities. We aimed to characterise the trend in survival disparity between older and younger patients and assess to what extent comorbidity might explain these disparities. METHODS We examined records for 56 010 patients diagnosed with myeloma in England between 1998-2014. The Hospital Episode Statistics database provided information on comorbidity. Net survival was estimated for each diagnosis period. Adjusted excess hazard ratios for the effect of age were estimated using flexible parametric models. RESULTS Net survival increased for all age groups over the study period. However, older patients experienced a higher risk of death from their disease consistent between 1998 and 2014. Adjusting for comorbidity made little difference to the estimates. CONCLUSION Factors other than comorbidity must explain the poorer survival experience of elderly patients. Treatment data were not examined and should be employed by future population studies. Inconsistent treatment of elderly patients with myeloma may be prevented by further use of pragmatic clinical trials which are inclusive of older adults, and also wider utilisation of frailty scores.
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Affiliation(s)
- Adam Jones
- London School of Hygiene and Tropical Medicine, London, UK
| | - Stella Bowcock
- Department of Haematology, King's College Hospital NHS Foundation Trust, London, UK
| | - Bernard Rachet
- London School of Hygiene and Tropical Medicine, London, UK
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