Literature DB >> 31637515

Patterns of pain medication use associated with reported pain interference in older adults with and without cancer.

Amy J Davidoff1,2,3, Maureen E Canavan4, Shelli Feder5, Shiyi Wang6,4,7, Ella Sheinfeld8,9, Erin E Kent10,11, Jennifer Kapo7,12, Carolyn J Presley13.   

Abstract

CONTEXT: Concerns about the adequacy of pain management among older adults are increasing, particularly with restrictions on opioid prescribing.
OBJECTIVES: To examine associations between prescription pain medication receipt and patient-reported pain interference in older adults with and without cancer.
METHODS: Using the 2007-2012 Surveillance Epidemiology and End Results (SEER)-Medicare Health Outcomes Survey (MHOS) database linked to Medicare Part D prescription claims, we selected MHOS respondents (N = 15,624) aged ≥ 66 years, ≤ 5 years of a cancer diagnosis (N = 9105), or without cancer (N = 6519). We measured receipt of opioids, non-steroidal anti-inflammatory drugs, and antiepileptics, and selected antidepressants within 30 days prior to survey. Patient-reported activity limitation due to pain (pain interference) within the past 30 days was summarized as severe, moderate, or mild/none. Logistic regression using predictive margins estimated associations between pain interference, cancer history, and pain medication receipt, adjusting for socio-demographics, chronic conditions, and Part D low-income subsidy.
RESULTS: Severe or moderate pain interference was reported by 21.3% and 46.1%, respectively. Pain medication was received by 21.5%, with 11.6% receiving opioids. Among adults reporting severe pain interference, opioid prescriptions were filled by 27.0% versus 23.8% (p = 0.040) with and without cancer, respectively. Over half (56%) of adults reporting severe pain in both groups failed to receive any prescription pain medication.
CONCLUSIONS: Older adults with cancer were more likely to receive prescription pain medications compared with adults without cancer; however, many older adults reporting severe pain interference did not receive medications. Improved assessment and management of pain among older adults with and without cancer is urgently needed.

Entities:  

Keywords:  Cancer; Medicare health outcomes study; Medicare part D; Opioids; Pain interference; Pain treatment

Year:  2019        PMID: 31637515      PMCID: PMC7338979          DOI: 10.1007/s00520-019-05074-8

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  42 in total

1.  Opioid prescription after pain assessment: a population-based cohort of elderly patients with cancer.

Authors:  Lisa Barbera; Hsien Seow; Amna Husain; Doris Howell; Clare Atzema; Rinku Sutradhar; Craig Earle; Jonathan Sussman; Ying Liu; Deborah Dudgeon
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

2.  Use of antiepileptics and tricyclic antidepressants in cancer patients with neuropathic pain.

Authors:  A Berger; E Dukes; S Mercadante; G Oster
Journal:  Eur J Cancer Care (Engl)       Date:  2006-05       Impact factor: 2.520

3.  Pain and treatment of pain in minority patients with cancer. The Eastern Cooperative Oncology Group Minority Outpatient Pain Study.

Authors:  C S Cleeland; R Gonin; L Baez; P Loehrer; K J Pandya
Journal:  Ann Intern Med       Date:  1997-11-01       Impact factor: 25.391

4.  Trends in prevalent and incident opioid receipt: an observational study in Veterans Health Administration 2004-2012.

Authors:  H J Mosher; E E Krebs; M Carrel; P J Kaboli; M W Vander Weg; B C Lund
Journal:  J Gen Intern Med       Date:  2014-12-18       Impact factor: 5.128

5.  Opioid prescribing for patients with cancer in the last year of life: a longitudinal population cohort study.

Authors:  Lucy Ziegler; Matthew Mulvey; Alison Blenkinsopp; Duncan Petty; Michael I Bennett
Journal:  Pain       Date:  2016-11       Impact factor: 6.961

6.  Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia.

Authors:  Stacie B Dusetzina; Aaron N Winn; Gregory A Abel; Haiden A Huskamp; Nancy L Keating
Journal:  J Clin Oncol       Date:  2013-12-23       Impact factor: 44.544

7.  Prescription coverage in indigent patients affects the use of long-acting opioids in the management of cancer pain.

Authors:  Robert Wieder; Nila Delarosa; Margarette Bryan; Ann Marie Hill; William J Amadio
Journal:  Pain Med       Date:  2013-09-23       Impact factor: 3.750

8.  Opioid prescribing for cancer pain during the last 3 months of life: associated factors and 9-year trends in a nationwide United Kingdom cohort study.

Authors:  Irene J Higginson; Wei Gao
Journal:  J Clin Oncol       Date:  2012-10-29       Impact factor: 44.544

9.  Subsidies for Oral Chemotherapy and Use of Immunomodulatory Drugs Among Medicare Beneficiaries With Myeloma.

Authors:  Adam J Olszewski; Stacie B Dusetzina; Charles B Eaton; Amy J Davidoff; Amal N Trivedi
Journal:  J Clin Oncol       Date:  2017-05-25       Impact factor: 50.717

10.  Overview of the SEER--Medicare Health Outcomes Survey linked dataset.

Authors:  Anita Ambs; Joan L Warren; Keith M Bellizzi; Marie Topor; Samuel C Haffer; Steven B Clauser
Journal:  Health Care Financ Rev       Date:  2008
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  3 in total

1.  Severe functional limitation due to pain & emotional distress and subsequent receipt of prescription medications among older adults with cancer.

Authors:  Carolyn J Presley; Maureen Canavan; Shi-Yi Wang; Shelli L Feder; Jennifer Kapo; Maureen L Saphire; Ella Sheinfeld; Erin E Kent; Amy J Davidoff
Journal:  J Geriatr Oncol       Date:  2020-03-10       Impact factor: 3.599

2.  Opioid use by cancer status and time since diagnosis among older adults enrolled in the Prostate, Lung, Colorectal, and Ovarian screening trial in the United States.

Authors:  Danielle D Durham; Scott A Strassels; Paul F Pinsky
Journal:  Cancer Med       Date:  2021-02-26       Impact factor: 4.452

3.  Opioid and Other Medication Use and General Health Status in a Cohort of Older Adults.

Authors:  Paul F Pinsky; Danielle Durham; Scott Strassels
Journal:  Gerontology       Date:  2021-03-10       Impact factor: 5.140

  3 in total

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