Literature DB >> 35116495

The effectiveness of an independent anti-neoplastic medication therapy management system in ambulatory cancer patients.

Jianping Zhang1, Rong Xu1, Xincai Zhao1, Yonggang Wang2, Wanhu Zhu1, Misu Xiao1, Haiyan Hu2, Lina Tang2, Zan Shen2, Cheng Guo1.   

Abstract

BACKGROUND: Cancer has always been a serious health threat for human. Patients with cancer are at high risk of drug-related problems (DRPs) due to multi-morbidity associated polypharmacy. However, data is lacking in identifying and addressing potential DRPs in cancer patients in China. This study aims to investigate the prevalence of DRPs and evaluate the effectiveness of an independent anti-neoplastic medication therapy management (MTM) system in ambulatory cancer patients.
METHODS: This is a retrospective study. An independent anti-neoplastic MTM system in Shanghai Jiao Tong University affiliated sixth People's Hospital was established in 2018 with the collaboration of oncologists, clinical pharmacists and software engineers. The system contains an independent clinic of pharmacy and MTM software. The software consisted of six modules to help clinical pharmacists serve the tumor patients. The six modules include medication therapy review, intervention plan, personal medication record, medication-related action plan, intervention and/or referral, and documentation and follow-up.
RESULTS: A total of 173 eligible tumor patients visited the anti-neoplastic pharmaceutical clinic and were recorded in the independent anti-neoplastic MTM system from Jun 2018 to May 2019. The average clinic visits were 2.4 times of the study participants. Two thirds patients (117/173) had one or more identified DRPs in medication therapy review. Adverse drug reaction, potential drug interaction and non-adherence were the leading DRPs. 85.8% of DRPs could be resolved (cured or improved) in four weeks. Tumor patients showed medication adherence reached 84-100% after three or four times of follow-up and intervention.
CONCLUSIONS: The participation of clinical pharmacists in managing polypharmacy tumor patients, with the independent anti-neoplastic MTM system, facilitated the identifying and solving DRPs, especially improving medication adherence of patients, and thus enhancing the effectiveness, safety and rational use of medication. 2021 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Cancer; clinical pharmacist; drug-related problems (DRPs); medication adherence; medication therapy management (MTM)

Year:  2021        PMID: 35116495      PMCID: PMC8797392          DOI: 10.21037/tcr-20-3164

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

The incidence of cancer has been increasing in most countries since the 1990s, and cancer has become the second leading cause of death in 2013 despite substantial progress has been made in prevention and treatment (1). From 2006 to 2016, the number of people with cancer increased by 28% and reached 17.2 million worldwide, which resulted in 8.9 million deaths (2). This situation is particularly severe in developing countries whose health systems are usually deficient in cancer diagnosis and treatment (1,3). By using the same methods of global burden of disease, eight types of cancer appeared in the 25 leading causes of death in China in 2017, and the estimated deaths for these eight types of cancer summed up to 148 deaths per 100,000 population (4). The trend of aging population and increasing number of long-term cancer survivors will increase the complexity of tumor patient management and severity to cancer morbidity and mortality (5). Drug-related problem (DRP) is defined as, “an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes” according to the pharmaceutical care network of Europe (PCNE) (6). Strong evidence had shown that negative health outcomes are associated with DRPs, such as increased healthcare costs, prolonged hospital stays, reduced quality of life, and increased mortality (7-9). Patients with cancer are at high risk of DRPs due to multi-morbidity associated polypharmacy. Since cancer is one of the medical conditions associated with aging (10), there is a high probability of cancer patients taking multiple medications, which can lead to overdose, potential drug interactions, and low medication adherence (11). Studies demonstrated that the intervention conducted by pharmacists could greatly improve the adherence rate of oral anti-neoplastic drugs, and ultimately improve the outcomes of oral chemotherapy (12,13). A systematic review of studies about clinical medication review service in Australia confirmed that the significant role of pharmacists in improving the quality use of medications and health outcomes and advocated collaborations between different medical workers (14). However, few studies have been conducted in China on DRPs and pharmacists’ role in them. The patients with malignant tumor, especially those elderly and multiple therapeutics, are widely ignored in pharmaceutical care in China. In 2018, a guideline on development of pharmaceutical service was issued by National Health Commission of China, which requiring the role transformation and emphasizing the professional service provided by pharmacists (15). In the same year, the first anti-neoplastic pharmaceutical clinic in Shanghai was established to improve the medication adherence, promote drug rationally use and prevent adverse reactions. This clinic will serve tumor patients independently by following the mode of medication therapy management (MTM) service. We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tcr-20-3164).

Methods

Study design and development of independent anti-neoplastic MTM system

The independent anti-neoplastic MTM system in Shanghai Jiao Tong University affiliated sixth People's Hospital was established in 2018 with the collaboration of oncologists, clinical pharmacists and software engineers. The system contains an independent clinic of pharmacy and MTM software. The MTM software (intellectual property registration No. 2018SR916520) was designed on the basis of the concept of patient-centered medication management service (16). The software consisted of six modules, namely medication therapy review (MTR), intervention plan, personal medication record (PMR), medication-related action plan (MAP), intervention and/or referral (I&R), documentation and follow-up (DFU), and supplement scores for assessment in modules (). Through MTM software the clinical pharmacists can retrieve the information from hospital information system and the structured data of medication history could be extracted automatically and presented in table format. As a result, the clinical pharmacists could manage the patients in a formulated structure, which improving the safety, compliance and ultimately the medications outcomes.
Figure 1

The scheme of patient flowchart in anti-neoplastic medication-therapy management

The scheme of patient flowchart in anti-neoplastic medication-therapy management

Patient management procedure

The main management procedure in this study was depicted in the flowchart (). According to the registration, a patient’s baseline information, treatment history, medication history, adverse events, health status and medical test records would be collected and retrieved. The clinical pharmacists can review the medication history in MTR module to evaluate the efficacy, safety, compliance and DRPs. The American Society of Hospital Pharmacist classification system for documenting DRPs and pharmacy interventions was applied in this study with slight modifications (17,18). Nine types of DRPs covering indications, effectiveness, safety and adherence, including (I) drug without indication; (II) indication without drug; (III) inappropriate drug; (IV) underdose; (V) adverse drug reaction; (VI) overdose; (VII) non-adherence; (VIII) potential drug interaction, and (IX) other problems. Those patients without DRPs, a pre-admission assessment will be conducted before hospital-based chemotherapy. For those with DRPs, a detailed medication-related action plan will be provided after reaching a consensus between clinical pharmacists and oncologists. Based upon the action plan the patients can learn about their own DRPs and be under surveillance through daily records. Questionnaires on knowledge, attitude and practice of medications or related problems will be collected during the patient management process (Table S1). According to the action plan the patients are scheduled to follow-up. The pharmacists review, assess and evaluate their laboratory tests and treatment outcomes of the DRPs (including cure, stable status, improved, partial improved, no improvement, deterioration, failure). The 8-item medication adherence scale (Chinese version) will be used to assess tumor patients with serious DRPs (19). And the score of <6, 6 to 7, and 8 is regarded as non-compliance, medium, and high adherence, respectively.

Study patients

Patients of any cancer type and stage admitted to anti-neoplastic pharmaceutical clinic, in Shanghai Jiao Tong University affiliated sixth People's Hospital, from Jun 2018 to May 2019 were retrospectively enrolled for MTM. In this retrospective analysis only patients who were followed up three and more times and received chemotherapy in our hospital, were assessed by the MMAS-8 which scoring the medication compliance. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by Ethics Committee of Shanghai Sixth People’s Hospital (2013-44) and informed consent was taken from all the participants.

Statistical analysis

The data were collected during the patient management as depicted in the flowchart (). Continuous data were expressed as mean with standard deviation, while categorical data was presented as count (percentage). The chi-square test or fisher exact test were used to compare the proportions of different groups. The DRPs data use time-to-event and the Kaplan-Meier method (defined as event=1). The patients whose MMAS-8 score ≥6 is regarded as acceptable adherence level (defined as event=1), and the median time of patients reached acceptable was estimated by using Kaplan-Meier method. A significant level of α=0.05 was used in two tailed statistical test. Statistical analysis was performed by SPSS 21.0 (IBM Corp. Armonk, NY).

Results

Patients’ characteristics

173 eligible patients were recorded and followed in the independent anti-neoplastic MTM system during this period (). The tumor patients aged from 4 to 86 years with mean of 49.4 (±22.3) years, more than 60% participants are in 18–70 years. Among the population, one sixth patients were under 18 years and one fifth were over 70 years. Female patients accounted for 50% (chi-square test, P=0.595). Five leading types of cancer were related to bone, lung, breast, colorectum and prostate. Nearly all the patients suffered from one or more comorbidities. 68 adverse drug reactions were identified by pharmacists, including very common adverse events such as constipation (n=13), myelosuppression (n=10) and drug-induced liver injury (n=8) ().
Table 1

Baseline characteristics of tumor patients (n=173)

ClassificationItemsPatients (%)
Sex (n=173)Female90 (52.0)
Age group, year≤1826 (15.0)
19–5053 (30.6)
51–7058 (33.5)
>7136 (20.8)
Cancer type (n=173)Bone58 (33.5)
Lung30 (17.3)
Breast17 (9.8)
Colorectal15 (8.7)
Prostate8 (4.6)
Stomach6 (3.5)
Lymphoma5 (2.9)
Sarcoma4 (2.4)
Others30 (17.3)
Comorbidities (n=217)Hypertension39 (16.6)
Pain35 (14.9)
Osteoporosis30 (12.8)
Immunocompromise22 (9.4)
Ischemic heart disease20 (8.5)
Undernutrition13 (5.5)
Hyperlipidemia12 (5.1)
Hypohepatia12 (5.1)
Diabetes mellitus11 (4.7)
Gastritis7 (3.0)
Renal insufficiency6 (2.6)
Bronchitis5 (2.2)
Hepatitis B3 (1.3)
Others20 (8.5)
ADRs (n=68)Constipation13 (16.5)
Myelosuppression10 (12.7)
Drug-induced liver injury8 (10.1)
Rash8 (10.1)
Diarrhea7 (8.9)
Oral mucositis5 (6.3)
Fatigue5 (6.3)
Vomit4 (5.1)
Renal insufficiency5 (6.3)
Hand foot syndrome5 (6.3)
Anorexia4 (5.1)
Nausea3 (3.8)
Proteinuria1 (1.3)
peripheral sensory neuropathy1 (1.3)

The comorbidities and adverse drug reactions (ADRs) was counted according to event.

The comorbidities and adverse drug reactions (ADRs) was counted according to event.

Patients follow-up

Two thirds patients (117/173) had one or more identified DRPs through medication therapy review. These patients were scheduled to follow-up and re-evaluation, among which 47% (55/117) visited the MTM clinic more than one time. The average clinic visits were 2.4 times. A small portion of patients visited the MTM clinic more than ten times in a year ().
Figure 2

The distribution of patients’ visit. The average clinic visits were 2.4 times, majority of patients visited once or twice, with 38/173 (22%) patients visiting more than 2 times; few patients visited more than ten times within 1 year (Jun 6, 2018 to May 31, 2019).

The distribution of patients’ visit. The average clinic visits were 2.4 times, majority of patients visited once or twice, with 38/173 (22%) patients visiting more than 2 times; few patients visited more than ten times within 1 year (Jun 6, 2018 to May 31, 2019).

Improvement in patients with DRPs and non-adherence

117 patients were identified with 190 DRPs in this study. Adverse drug reaction, potential drug interaction and non-adherence were the leading DRPs, with 35.8% (68/190) were adverse drug reactions (). Among these DRPs, 85.8% (163/190) could be resolved (cured or improved), and 96 DRPs of 78 patients were cured and 67 DRPs of 58 patients were improved within median 6.8 and 27.8 days, respectively (). In this study, most majority of non-compliance (27/29) had been improved. 38 patients with serious DRPs were assessed by experienced clinical pharmacists by using 8-item medication adherence scale (Chinese version). At the first time visit, only 24% (9/38) tumor patients showed medication compliance according to medication adherence scale score (≥6), then reached 66% (25/38) at the second time visit, and 84% (32/38), 100% (32/32) at third and fourth time visit, respectively. At the third visit, the improvement on compliance was significant with estimated median 35 days (Fisher exact test, P=0.0004) ().
Table 2

Types of drug-related problems (DRPs) identified

Drug-related problemsNumber (percentage)
Adverse drug reaction68 (35.8)
Potential drug interaction30 (15.8)
Non-adherence29 (15.3)
Others20 (10.5)
Indication without drug19 (10)
Overdose8 (4.2)
Underdose7 (3.7)
Drug without indication7 (3.7)
Inappropriate drug2 (1.0)
Total190 (100.0)
Figure 3

The improvement of patients with DRPs and compliance. (A) 96 DRPs of 78 patients were cured in median 6.8 days, and 67 DRPs of 58 patients were improved in median 27.8 days; (B) by defining the medication adherence scale score ≥6 as satisfactory medication adherence (event =1), the patient adherence was improved significantly since the third visit with median 35 days (Fisher exact test, P=0.0004).

The improvement of patients with DRPs and compliance. (A) 96 DRPs of 78 patients were cured in median 6.8 days, and 67 DRPs of 58 patients were improved in median 27.8 days; (B) by defining the medication adherence scale score ≥6 as satisfactory medication adherence (event =1), the patient adherence was improved significantly since the third visit with median 35 days (Fisher exact test, P=0.0004).

Economic benefit

One patient with colon cancer who also suffered from chronic renal dysfunction, whose glomerular filtration rate (GFR) was 40 mL/min/1.73 m2. And he was prescribed 21 different drugs on his first visit to the MTM clinic. After the multidisciplinary consultation of clinic pharmacists and oncologists, the final drugs list only contained 11 essential drugs with equivalent treatment efficacy. This cut the medication fee by ¥157.45 each day (¥4,880.95 per month) (Table S2). The data of economic benefit will be discussed elsewhere.

Discussion

It was estimated that more than 4.2 million people would be diagnosed with cancer and 2.8 million cancer deaths would occur in China in 2018 (3,20). A non-negligible and long-standing fact is that the oncologists are so busy that they have little time to educate, manage and schedule the optimized medication plan for every patient, especially those who also have other chronic diseases. As a result, the therapeutic effects would be decreased, with the DRPs or other secondary problems in chemotherapy would likely be ignored. In addition, polypharmacy and altered metabolic profile in tumor patients incline to suffer from the drug interactions, overdose and frequency of adverse drug reactions. On the other hand, the polypharmacy, comorbidity, aging might complicate the situation and contribute to under-prescribing (21,22). So the oncologists eagerly expect the involvement of multi-disciplinary experts especially the pharmacists to manage the tumor patients to take medications (23-25). Fortunately, our clinical pharmacists have been receiving training since the introduction of the MTM mode from USA in 2015 (26-28). In phase I, we established the first anti-neoplastic MTM system in Shanghai in 2018 with the cooperation of oncologists, clinic pharmacists and software engineers. This MTM system was also designed to facilitate the communication and cooperation of different medical workers, which has been proved to improve satisfaction and coordination of patient (29,30). In the MTM system, pharmacists’ role is to conduct medication review for cancer patients, record all medication, address drug counseling, provide recommendations and collaborate with physicians to improve the accuracy of medication regimens. This anti-neoplastic MTM system can be viewed as an extension of hospital information system, which differs from most prevalent MTM such as in United States of America, or commercial insurance agencies (31,32). At present, few MTM systems focus on the medication record, medication action plan and patients’ follow up (33). In phase II, we will incorporate the MTM system into the hospital medical system which would collect more medication information of patients. What’s more, we obtained a patent on anti-neoplastic MTM system. The MTM system is of great significance to the construction of the oncology pharmacy clinic. It is helpful for accurate screening of patients and integration of medication information. The information-based pharmaceutical tools significantly improve the work efficiency of clinical pharmacists and facilitate the workload statistics of pharmaceutical care. Electronic file management in the MTM system and individualized medication education have increased patients’ satisfaction of pharmacy clinic. However, some limitations of the MTM system have to be considered. At present, the MTM system does not have online follow-up function after patients leave the hospital, which cannot meet the requirements of internet medical service. Since our pharmacy clinic is opened once a week for 4 hours each time, we can only serve 6–10 patients each time in half a day per week. Five leading types of cancer were related to bone, lung, breast, colorectum and prostate in our anti-neoplastic MTM system. This is different from the result of other domestic data which referred to the lung, liver, stomach, esophageal and colorectal cancer. This difference may be attribute to the fact that there are many patients with bone tumors in the department of orthopedics in our hospital. What should be of concern is that our tumor patients come from more than ten provinces in China. The geographic distribution will increase the difficulty of follow-up. The MTM system of phase II aims to overcome some known obstacles, facilitate the communication and integrate to current systems. In addition, we plan to serve more outpatients (34). Meanwhile we need more pharmacists to deal with redundant data (25,35,36). Studies certified that poor medication adherence would affect health outcomes and increase overall healthcare cost (27). In order to improve the patients’ adherence, we provided the 8-item medication adherence scale for patients who have serious DRPs. Though only the non-adherence account for 15%, in fact it is more common in other studies (37,38). Our findings suggest that the involvement of clinical pharmacists can help improve patient compliance, as in other studies (39,40). Currently, our sample size is small, the gene related data cannot be incorporated into the medication action plan and the MTM workstation has not been totally integrated into the whole process of patient management. However, through anti-neoplastic MTM practice our clinical pharmacists have achieved our important role in managing patient. Pharmacists should provide available pharmaceutical care to the public to promote the effectiveness, safety and rational use of medicines.

Conclusions

The first anti-neoplastic MTM system in Shanghai was established in Shanghai Jiao Tong University affiliated sixth People’s Hospital with the multi-disciplinary collaboration. In a year of clinical pharmacists’ involvement in tumor patients’ MTM, 85.8% of DRPs could be resolved (cure or improved) in four weeks; the medication adherence reached 84–100% following three or four times of follow-up and intervention. Based on the current experience, the phase II aims to overcome some known obstacles, facilitate the communication and integrate to current systems, ultimately enhance the effectiveness, safety and rational use of medication.
  33 in total

Review 1.  Underprescription of beneficial medicines in older people: causes, consequences and prevention.

Authors:  Antonio Cherubini; Andrea Corsonello; Fabrizia Lattanzio
Journal:  Drugs Aging       Date:  2012-06-01       Impact factor: 3.923

2.  The Global Burden of Cancer 2013.

Authors:  Christina Fitzmaurice; Daniel Dicker; Amanda Pain; Hannah Hamavid; Maziar Moradi-Lakeh; Michael F MacIntyre; Christine Allen; Gillian Hansen; Rachel Woodbrook; Charles Wolfe; Randah R Hamadeh; Ami Moore; Andrea Werdecker; Bradford D Gessner; Braden Te Ao; Brian McMahon; Chante Karimkhani; Chuanhua Yu; Graham S Cooke; David C Schwebel; David O Carpenter; David M Pereira; Denis Nash; Dhruv S Kazi; Diego De Leo; Dietrich Plass; Kingsley N Ukwaja; George D Thurston; Kim Yun Jin; Edgar P Simard; Edward Mills; Eun-Kee Park; Ferrán Catalá-López; Gabrielle deVeber; Carolyn Gotay; Gulfaraz Khan; H Dean Hosgood; Itamar S Santos; Janet L Leasher; Jasvinder Singh; James Leigh; Jost B Jonas; Jost Jonas; Juan Sanabria; Justin Beardsley; Kathryn H Jacobsen; Ken Takahashi; Richard C Franklin; Luca Ronfani; Marcella Montico; Luigi Naldi; Marcello Tonelli; Johanna Geleijnse; Max Petzold; Mark G Shrime; Mustafa Younis; Naohiro Yonemoto; Nicholas Breitborde; Paul Yip; Farshad Pourmalek; Paulo A Lotufo; Alireza Esteghamati; Graeme J Hankey; Raghib Ali; Raimundas Lunevicius; Reza Malekzadeh; Robert Dellavalle; Robert Weintraub; Robyn Lucas; Roderick Hay; David Rojas-Rueda; Ronny Westerman; Sadaf G Sepanlou; Sandra Nolte; Scott Patten; Scott Weichenthal; Semaw Ferede Abera; Seyed-Mohammad Fereshtehnejad; Ivy Shiue; Tim Driscoll; Tommi Vasankari; Ubai Alsharif; Vafa Rahimi-Movaghar; Vasiliy V Vlassov; W S Marcenes; Wubegzier Mekonnen; Yohannes Adama Melaku; Yuichiro Yano; Al Artaman; Ismael Campos; Jennifer MacLachlan; Ulrich Mueller; Daniel Kim; Matias Trillini; Babak Eshrati; Hywel C Williams; Kenji Shibuya; Rakhi Dandona; Kinnari Murthy; Benjamin Cowie; Azmeraw T Amare; Carl Abelardo Antonio; Carlos Castañeda-Orjuela; Coen H van Gool; Francesco Violante; In-Hwan Oh; Kedede Deribe; Kjetil Soreide; Luke Knibbs; Maia Kereselidze; Mark Green; Rosario Cardenas; Nobhojit Roy; Taavi Tillmann; Taavi Tillman; Yongmei Li; Hans Krueger; Lorenzo Monasta; Subhojit Dey; Sara Sheikhbahaei; Nima Hafezi-Nejad; G Anil Kumar; Chandrashekhar T Sreeramareddy; Lalit Dandona; Haidong Wang; Stein Emil Vollset; Ali Mokdad; Joshua A Salomon; Rafael Lozano; Theo Vos; Mohammad Forouzanfar; Alan Lopez; Christopher Murray; Mohsen Naghavi
Journal:  JAMA Oncol       Date:  2015-07       Impact factor: 31.777

3.  Strategies for community-based medication management services in value-based health plans.

Authors:  Marie A Smith; Susan Spiggle; Brody McConnell
Journal:  Res Social Adm Pharm       Date:  2016-01-21

Review 4.  The primary care provider (PCP)-cancer specialist relationship: A systematic review and mixed-methods meta-synthesis.

Authors:  Lesly A Dossett; Janella N Hudson; Arden M Morris; M Catherine Lee; Richard G Roetzheim; Michael D Fetters; Gwendolyn P Quinn
Journal:  CA Cancer J Clin       Date:  2016-10-11       Impact factor: 508.702

5.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

Review 6.  The role of the clinical pharmacist in the care of patients with cardiovascular disease.

Authors:  Steven P Dunn; Kim K Birtcher; Craig J Beavers; William L Baker; Sara D Brouse; Robert L Page; Vera Bittner; Mary Norine Walsh
Journal:  J Am Coll Cardiol       Date:  2015-11-10       Impact factor: 24.094

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Authors:  Bishara Bisharat; Lubna Hafi; Orna Baron-Epel; Zaher Armaly; Abdalla Bowirrat
Journal:  J Transl Med       Date:  2012-03-01       Impact factor: 5.531

8.  Side effects and medication adherence of tyrosine kinase inhibitors for patients with chronic myeloid leukemia in Taiwan.

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Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

9.  Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors:  Maigeng Zhou; Haidong Wang; Xinying Zeng; Peng Yin; Jun Zhu; Wanqing Chen; Xiaohong Li; Lijun Wang; Limin Wang; Yunning Liu; Jiangmei Liu; Mei Zhang; Jinlei Qi; Shicheng Yu; Ashkan Afshin; Emmanuela Gakidou; Scott Glenn; Varsha Sarah Krish; Molly Katherine Miller-Petrie; W Cliff Mountjoy-Venning; Erin C Mullany; Sofia Boston Redford; Hongyan Liu; Mohsen Naghavi; Simon I Hay; Linhong Wang; Christopher J L Murray; Xiaofeng Liang
Journal:  Lancet       Date:  2019-06-24       Impact factor: 79.321

Review 10.  Adherence and health care costs.

Authors:  Aurel O Iuga; Maura J McGuire
Journal:  Risk Manag Healthc Policy       Date:  2014-02-20
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