Dissertations / Theses on the topic 'Medication'
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Given, BarbaraA, CharlesW Given, Alla Sikorskii, Eric Vachon, and Asish Banik. "Medication burden of treatment using oral cancer medications." MEDKNOW PUBLICATIONS & MEDIA PVT LTD, 2017. http://hdl.handle.net/10150/625510.
Full textLitell, Munjanja Yvonne. "Medication Reconciliation in the Elderly." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6236.
Full textMekonnen, Alemayehu B. "Medication Reconciliation as a Medication Safety Initiative." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/18050.
Full textWalsh, Marie Helen. "Automated Medication Dispensing Cabinet and Medication Errors." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/305.
Full textSamaranayake, Nithushi Rajitha. "Medication safety in hospitals : medication errors and interventions to improve the medication use process." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193507.
Full textpublished_or_final_version
Medicine
Doctoral
Doctor of Philosophy
Shumaker, Becki Debora. "MEDICATION BELIEFS AND MEDICATION ADHERENCE IN THE OLDER ADULT." Thesis, The University of Arizona, 2003. http://hdl.handle.net/10150/610591.
Full textOudah, Alsafa. "Medication Reconciliation : Electronic medication list discrepancies – Cross sectional study." Thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-178901.
Full textBadie, Shahene, Elizabeth Jing, Carissa Fernandez, and Terri Warholak. "An Assessment of Medication Synchronization on Improving Medication Adherence." The University of Arizona, 2015. http://hdl.handle.net/10150/614100.
Full textObjectives: Our specific aim is to assess the changes in patient adherence in response to medication synchronization. Our working hypothesis is that medication synchronization will have a positive impact on patient adherence. Methods: This retrospective pre-post cohort study assessed medication adherence 365 days before and 365 days after enrollment into a prescription synchronization program. There were 5,994 patients included in the study. Seven medication classes and three demographic groups were chosen to assess for adherence. Adherence was determined by calculating mean proportion of days covered. A paired t-test was used to determine statistical significance for each drug class and demographic group. Exploratory analyses were done at 90 days and 180 days before and after the sync date to determine differences in terms of time. An alpha a-priori was set at 0.05 before analysis was started. Results: Current Fry’s Pharmacy patients greater than 18 years old that met the Centers for Medicare and Medicaid Services (CMS) for STARs rating criteria were included in the study. Results at 365 days showed a statistically significant decrease in PDC (p<0.0001), and was not affected by demographics. Conclusions: One year after the implementation of medication synchronization program at Fry’s Pharmacy, a statistically significance decrease in PDC is seen across all categories of chronic medications: statins, ACE-I/ARBs, beta-blockers, CCBs, metformin, thiazides, loop-diuretics, and inhaled corticosteroids. As such, medication synchronization may decrease patient adherence to the maintenance medications evaluated.
Diaz, Melissa, Yanina Ortega, and Kevin Boesen. "Medication Therapy Management: Methods to Increase Comprehensive Medication Review Participation." The University of Arizona, 2013. http://hdl.handle.net/10150/614243.
Full textSpecific Aims: To compare the Comprehensive Medication Review (CMR) rate for Workflow Model #1 (used in 2010) to the CMR rate for Workflow Model #2 (used in 2011) at the Medication Management Center (MMC). Methods: A retrospective database analysis was completed in which Comprehensive Medication Review (CMR) completion rates for 2010 and 2011 were assessed. Comparison included only Center for Medicare and Medicaid Services (CMS) contracts that the Medication Management Center (MMC) provided Medication Therapy Management (MTM) services for both in 2010 and 2011. Data was used to determine the effect a process change had on CMR participation rate at the MMC and best practices for improving the rate of Medication Therapy Management Program (MTMP) beneficiaries participating in a CMR. Main Results: In 2010, patient participation and response to a CMR offer letter was low (0.2%). The changes in process yielded an increase in the CMR completion rate (6.93%); this in turn yielded higher performance measurements for prescription drug plans. Conclusion: Workflow modifications, including a pro-active secondary CMR offer, led to a marked increase in member participation and CMR rates. Patients are more apt to consent to a CMR if they are called for a specific medication related problem. It is recommended to continue to convert TMR calls to CMRs whenever possible, monitor CMR rates at least quarterly, and make cold calls where needed to increase CMR percentages.
Lim, Rosemary Hwee Mei. "A systems approach to medication safety in care homes: Understanding the medication system, investigating medication errors and identifying the requirements of a safe medication system." Thesis, University of Surrey, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493045.
Full textSchneider, Anna-Maria. "Personalized asthma medication." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-125892.
Full textGonzales, Kelly. "Safe medication administration." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/2877.
Full textWhite, Megan, Andrea Rasdale, Erin M. Fekete, Stacey L. Williams, Matthew D. Skinta, Nicole M. Taylor, Michael Chatterton, and Brittney Woods. "Stigma, Medication Concerns, and Medication Adherence in People Living With HIV." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etsu-works/8086.
Full textKhunkhun, Sanjeev, Jeff Krase, and Derek Rowen. "Comparison of Hospital Admission Medication Histories with Actual Outpatient Medication Regimens." The University of Arizona, 2006. http://hdl.handle.net/10150/624507.
Full textObjectives: To assess the accuracy of medication histories taken upon hospital admission. Methods: This study was a prospective chart review comparing the accuracy of hospital admission medication histories with outpatient pharmacy and physician records. Eleven hundred patients admitted to El Dorado Hospital were eligible for participation. Patients were excluded if they were: under 18 years old, non-English speaking, in a room with precautions, transferred from a hospital or skilled nursing facility, unable to give oral consent, or admitted to a geri-psychiatric unit. After verification of medication, dose, and schedule with outpatient pharmacy and physician records, the findings were documented as perfect agreement, error of omission, or error of commission. Results: One hundred and nineteen patient histories were analyzed. Forty three patients (36%) had at least one error in their medication history. Of the 582 medications verified for accuracy, 491 medications were accurate and 91 errors were identified. Of the errors identified, 64 were errors of commission and 27 were errors of omission. The average age of patients who had at least one error type was 74.9 years, and the average age of patients who did not have any errors was 68.3 years (p = 0.004). Medication histories with six or more medications were more commonly associated with errors (p = 0.001). There was no relationship between medication history errors and specific classes of medications such as cardiovascular, lipid-lowering, and antidiabetic agents. Conclusions: Medication histories for patients older than 75 years or those that contain six or more medications are more likely to contain an error. There appears to be no link between medication class and occurrence of error. While this study does not address methods to reduce error rates, verification of medication histories with outpatient pharmacies and physicians may help reduce hospital medication errors and promote positive health outcomes.
Buhl, Allison, and Kevin Boesen. "Measurable Benefit of Targeted versus Comprehensive Medication Reviews in Medication Therapy Management." The University of Arizona, 2015. http://hdl.handle.net/10150/614008.
Full textObjectives: To determine whether comprehensive medication reviews (CMRs) or non-CMR interventions following targeted medication reviews (TMRs) resulted in more positive medication changes. A CMR is a structured medication management session that includes a full review of an individual’s medical and medication records. Non-CMR interventions are more targeted problem-based interventions that include shorter medication management sessions, written patient outreach, and direct to provider interventions. Methods: This cross-sectional quality improvement project compared the number of individuals with positive medication changes who received a CMR to those with positive medication changes who did not receive a CMR (non-CMR). Individuals were included in this project if they qualified for the Medication Management Center’s (MMC) pharmacist-driven medication therapy management (MTM) program and received their medication review(s) in 2012 or 2013. The addition of an appropriate medication or the removal of an inappropriate medication was considered a positive medication change within 120 days of intervention. Odds ratios were calculated using Wilcoxon Rank Sum. Results: A total of 418,649 participants in 2012 and 370,107 in 2013 had their medications reviewed as part of the MTM program. The non-CMR group accounted for the majority of the interventions (375,159 for non-CMR versus 43,490 for CMR in 2012 and 332,006 versus 38,101 for 2013). Significantly more positive medication changes were achieved in the non-CMR group (n=88,467 for 2012 and n=54,971 for 2013) following the medication review compared to the CMR group (n=9,796 for 2012 and n=7,034 for 2013). CMR recipients were more likely to receive a recommendation (odds ratio 0.70, 95% confidence interval 0.69-0.72 for 2012 and odds ratio 0.62, 95% confidence interval 0.60-0.63 for 2013). Non-CMR recipients were more likely to have a recommendation result in a medication change (odds ratio 1.24, 95% confidence interval 1.21-1.28 for 2012 and 1.26, 95% confidence interval 1.22-1.30 for 2013). Conclusions: While the percentage of participants who received a recommendation in the non-CMR group was lower, a greater percentage of these participants received a medication change. This indicates that non-CMR interventions following TMRs may be more effective in producing a positive medication change compared to CMRs.
Dolly, Avril. "Effectiveness of a Medication Administration Protocol on Medication Errors and Inpatient Falls." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4511.
Full textÅkerblad, Ann-Charlotte. "Adherence to Antidepressant Medication." Doctoral thesis, Uppsala University, Department of Neuroscience, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7769.
Full textNon-adherence to medication is a major obstacle in the treatment of depression. The objectives of the present study were to explore the effect of two interventions aiming to increase antidepressant treatment adherence, and to examine long-term consequences and costs of depression in adherent and non-adherent primary care patients.
A randomised controlled design was used to assess the respective effects of a written educational adherence enhancing programme and therapeutic drug monitoring in patients with major depression treated with sertraline for 24 weeks. All patients were prospectively followed during two years.
Treatment adherence was found in 41% of the 1031 included patients. None of the interventions resulted in a significant increase in adherence rate. However, significantly more patients in the group receiving the written educational material had responded at week 24 as compared to patients in the control group.
The overall remission rate after two years was 68%. In total, 34% of the responders experienced at least one relapse. Response and remission rates at week 24, year 1 and year 2 were significantly higher in adherent as compared to non-adherent patients. No relationship between adherence and relapse rate was seen.
The mean total cost per patient during two years was KSEK 363 whereof indirect costs represented 87%. No significant differences in costs between intervention groups or between adherent and non-adherent patients could be demonstrated. However, the mean cost per patient was 39% lower for treatment responders as compared to non-responders.
Non-adherence was predicted by age below 35 or above 64 years, no concomitant medications, personality disorder, sensation seeking personality traits and substance abuse.
The results indicate a strong positive relationship between treatment adherence and clinical outcome. In addition, the study shows that depression is a costly disease and that certain patient characteristics predict non-adherence.
Åkerblad, Ann-Charlotte. "Adherence to antidepressant medication /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7769.
Full textAlsulami, Zayed Nama F. "Medication errors in children." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/27843/.
Full textDevnozashvili, Mikheili, and K. G. Selivanova. "Medication reminder device development." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/8372.
Full textCalhoun, McKenzie L. "Weight Loss Medication Update." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/6887.
Full textDoyle, Mary Davis. "Impact of the Bar Code Medication Administration (BCMA) System on Medication Administration Errors." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1093%5F1%5Fm.pdf&type=application/pdf.
Full textShaeffer, Joseph. "Increasing Awareness of Proper Disposal Practices of Unwanted Household Medications in Muskingum County, Ohio." Otterbein University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=otbn1596205993309345.
Full textBiron, Alain. "Medication administration complexity, work interruptions, and nurses' workload as predictors of medication administration errors." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66704.
Full textIntroduction: Les résultats probants relatifs aux facteurs prédictifs des erreurs d'administration des médicaments (EAM) sont peu nombreux et non-concluants.Objectif: Examiner la complexité de l'administration (composante et coordination), les interruptions dans le processus d'administration des médicaments et la charge de travail infirmière subjective comme facteurs prédictifs des EAM.Devis: Un devis corrélationnel prospectif. Milieu: Une unité de médecine dans un centre hospitalier universitaire.Échantillon: Un échantillon de convenance formé de 102 cycles d'administration des médicaments effectués par 18 infirmières avec un minimum de six mois d'expérience professionnelle.Méthode: Les données ont été colligées par observation directe (EAM et interruptions), mesures auto-rapportées (charge de travail subjective, caractéristiques sociodémographiques) ainsi qu'avec l'échelle de la complexité de l'administration médicamenteuse (MAC coding scale).Résultats: 102 observations ont été effectuées au cours desquelles 965 doses ont été administrées par 18 infirmières. En incluant les erreurs de temps d'administration, le taux d'EAM était de 28.4% et diminua à 11.1% lorsque les erreurs de temps d'administration étaient exclues. Une interruption lors de la préparation des médicaments (OR 1.596; 1.044 - 2.441) augmente significativement le risque d'EAM. Deux interactions significatives ont été trouvées (charge de travail X temps supplémentaire et charge de travail X expérience professionnelle). Ces interactions indiquent un effet plus négatif du temps supplémentaire et de l'expérience professionnelle parmi les infirmières ayant une charge de travail supérieure à la moyenne. La complexité de coordination de l'administration de médicament, contrairement aux attentes, diminue significativement les risques d'EAM (OR 0.558; .322-.967). L'inclusion des erreurs de temp
Bloomfield, Peter S. "Neuroinflammation and psychosis : antipsychotic medication." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39588.
Full textPuyat, Joseph Hernandez. "Disparities in antipsychotic medication use." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/35977.
Full textStar, Kristina. "Safety of Medication in Paediatrics." Doctoral thesis, Uppsala universitet, Institutionen för folkhälso- och vårdvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197323.
Full textPeng, Siwei, and 彭思玮. "Medication nonadherence among hypertension patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48425230.
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Public Health
Master
Master of Public Health
Desborough, James. "Medicines management : optimising medication adherence." Thesis, University of East Anglia, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446500.
Full textMerriman, Carolyn S. "Medication Administration for Resource Parents." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/8430.
Full textSmith, Olivia N. "Medication Adherence and Older Adults." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1435674662.
Full textAung, Myint Vason Silpasuwan. "Self-medication among Myanmar villagers /." Abstract, 1999. http://mulinet3.li.mahidol.ac.th/thesis/2542/42E-AungMyint.pdf.
Full textNassir, Atheer J. "Medication Management in Mental Health." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/15467.
Full textLaba, Tracey-Lea. "Medication Adherence in Chronic Disease." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9546.
Full textRamasamy, Abhilasha. "Patient Adherence to Chronic Disease Medications in a Medication Therapy Management Program in Lucas County, Ohio." Connect to full text in OhioLINK ETD Center, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1249416012.
Full textTypescript. "Submitted as partial fulfillment of the requirements for The Master of Science Degree in Pharmaceutical Sciences, Administrative Pharmacy Option." "A thesis entitled"--at head of title. Bibliography: leaves 71-84.
Fusco, Lori A. "Medication Safety Competence of Undergraduate Nursing Students." Case Western Reserve University Doctor of Nursing Practice / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=casednp158558798038964.
Full textEngelbrecht, Cecilia Justina. "The Impact of an electronic medication monitoring system on the adherence of patients to antiretroviral medication at the Tshepang Clinic, Dr George Mukhari Hospital." Thesis, University of Limpopo (Medunsa Campus), 2010. http://hdl.handle.net/10386/775.
Full textSUMMARY Introduction: The Human Immunodeficiency Virus (HIV) pandemic has become a global "monster" and much effort and funds have been channelled by various stake holders to change the deadly course of this threatening disease. Adherence has been identified as a critical element in optimal treatment of the disease with antiretroviral (ARV) medicines. A literature review was conducted on relevant facets of the HI virus, Acquired Immune Deficiency Syndrome (AIDS), disease prevention and treatment with ARVs, treatment obstacles, the importance of a sustained adherence level of at least 95% and the treatment interventions to promote medication adherence. Objectives: The objectives of this study were to evaluate the e-MuM electronic monitoring system (electronic microprocessor, reminder unit [a specialised wristwatch] and software program) for practicality, impact and effectiveness on ARV adherence, to test the ease of use for the patient and pharmacist, to get feedback from patients and clinic staff and finally to make recommendations concerning possible adaptations and the ideal use of the e¬MuM system. Method: The design was a four phase, prospective, randomised experimental, longitudinal study, conducted at the Tshepang Clinic of the Dr George Mukhari Hospital in Garankuwa using 210 volunteer patients.. After signing a consent form, patients were randomized into test and control groups, balanced according to gender and time on treatment. At the end of the baseline phase (only written adherence data collection), both groups were given their stavudine tablets in an electronic monitoring (e-MuM) container (from the end of the second month). The test group received interventions in the form of a alarm watch reminder unit (end of Phase 1), followed by visual (based on e-MuM generated graphs) and verbal feedback (end of Phases 2, 3 and 4). Other adherence tools used to evaluate and compare adherence in this study included a self-assessment questionnaire for gathering quantitative and qualitative data, visual analogue scale (VAS), 2-day and 7-day recall, tablet counts and the biological markers of the patients at the start and end of the study Results: There was no statistically significant difference between demographic data of the two groups at any point during the study. The mean time on treatment of the test group patients increased relative to baseline by the end of the study, which follows a reported trend that patients who have been on treatment for longer, tend to remain in studies. The e-MuM system revealed a large scattering of adherence results in both groups. Medication taken within an hour of the correct time was regarded as "strict" adherence and that taken at any time on the correct day as "lenient" adherence. The most significant increase in mean strict adherence was from Phase 2 to Phase 4 (after two verbal and visual feedback sessions). The adherence increase for the test group was 18.8% and 14.3% for the control group. The mean strict adherence level was 36.1 % for the test group and 29.8% for the control group for the full period. The mean lenient adherence for the full period was 45.5% for the test group and for the control group it was 36.6%. The difference between the two groups in adherence increase over time, did not reach the statistically significant level of P<0.05. One of the difficulties in the study data interpretation of the self-reported adherence was due to patieilts' decanting habits. Patients were asked to state whether and how often they removed their tablets from the original container into another container (decanting). Decanting habit options included daily, weekly, no decanting and unspecified decanting habits. Patients' decanting habits varied greatly. From decanting data available for a total of 209 patients, a majority (145) reported at least two different types of decanting habits for the study period, while five patients reported every decanting habit. Patients statements on their decanting habits were compared with the data recorded by the e-MuM system, but did not correlate at an individual level and were found not reliable enough to permit adjustment of the adherence levels that were calculated by the e-MuM system. Although self-assessment adherence measures exhibited a high degree of correlation, this was in stark contrast with the data obtained from the e-MuM. The mean adherence according to the Visual Analogue Scale (VAS) for the test group and control group was 87.7% and 88.4% respectively. Some of the study participants (11%) marked their adherence out of bounds on the 10cm solid line used for VAS. Despite frequent explanations from staff, some patients were not able to understand the abstract nature of the VAS. This observation may be related to patient educational level, as the majority of study participants (82%) had an incomplete secondary education or lower. In addition, clinic staff and data collectors commented that patients did not want to admit to being non¬ adherent. The mean stated adherence with the 7-day recall was 93.6% for the test group and 92.8% for the control group patients. The 2-day recall was omitted at the end of Phase 2. Adherence measured with tablet counts could not be used as it was only available in 60% of visits by test group patients and 64% of control group patients, as a result of patients not returning their remaining tablets at follow-up visits. Although positive tendencies in biological markers (CD4 and viral load [VL]) were evident towards the end of the study, differences between the groups did not reach statistical significance. The mean increase in CD4 count in the test group over the full period was 76.2 cells/mm3 and the number of patients in the test group with VL < 400 copies/ml increased from 72% to 89%. The mean increase in CD4 count in the control group was 72.2 cells/mm3 and the number of patients with VL < 400 copies/ml increased from 65% to 75%. Conclusion: The results of the study illustrated that the e-MuM system could be integrated in a normal clinic routine but additional staff and facilities (hardware) would be needed. The e-MuM system could be particularly helpful with new or suspected non¬ adherent patients. The disadvantage of the electronic monitoring system is its ability to monitor only one drug per container. It could be used with a fixed combination single tablet regimen. Patients were positive about the reminder unit as a tool to improve adherence. Doctors had mixed opinions of the usefulness of feedback graphs in monitoring adherence. Some patients disagreed with feedback results and this may reflect the anomalies caused by the range of decanting habits. The test group reached higher average rates of adherence than the control group, as jUdged bye-MuM recorded events, but differences were not statistically significant. The e¬ MuM data do not reflect adherence as such, merely container opening patterns, which makes it difficult to interpret results. In focus groups, patients and staff expressed their views about the use of the e-MuM system. No difficulty in the ease of use was reported by patients or staff. Notwithstanding this, a large portion of patients did decant tablets for various reasons, which made calculation of true adherence rates very difficult. A group of patients suggested routine use of the e-MuM system, to keep them conscious of their medication regimen while staff suggested limited use for new patients and non-adherent patients. The size of the container was the biggest obstacle according to patients and clinic staff and a small, more portable container was suggested. The sturdiness of the e-MuM lid with the microprocessor used for the study was questionable. Recommendations: Based on the results of this study, suggestions to increase adherence and utilise the e-MuM system are offered. The ideal medication dosage interval for patients, whose adherence patterns are being monitored electronically, would be once daily. For the e-MuM system to be practical, the device (container with embedded micro chip) has to be small, portable and sturdy. Patients will have to be educated to take every dose directly from the e-MuM container. For optimal e-MuM data interpretation, patient medication taking behaviour, including decanting of tablets must be accurately identified. A trained, dedicated, sensitive person has to interpret data and give feedback to patients.
Thorneloe, Rachael Jane. "Investigating medication adherence in psoriasis : exploring the role of illness perceptions, medication beliefs, and emotional distress." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/investigating-medication-adherence-in-psoriasis-exploring-the-role-of-illness-perceptions-medication-beliefs-and-emotional-distress(758e5322-438d-4806-bd2c-84e39c6477dd).html.
Full textDavidson, Lesley Gail. "The pharmacist as the medication manager : application of a comprehensive pharmaceutical care and medication management system." Thesis, University of Sunderland, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437632.
Full textMurphy, Kate. "Clozapine, concomitant medications and consumers: Assessing the accuracy of medication records and the lived experience of people prescribed clozapine under shared care arrangements." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/381000.
Full textThesis (Masters)
Master of Philosophy (MPhil)
School of Human Serv & Soc Wrk
Griffith Health
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Panozzo, Stacey Joy. "Nurses' perceptions of medication administration errors /." Title page, abstract and contents only, 2001. http://web4.library.adelaide.edu.au/theses/09S.PS/09s.psp195.pdf.
Full textMyhre, Teri Ann, and University of Lethbridge Faculty of Arts and Science. "Medication safety practices : a patient's perspective." Thesis, Lethbridge, Alta. : University of Lethbridge, School of Health Sciences, 2007, 2007. http://hdl.handle.net/10133/626.
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Wixson, Sarah E. "Medication misadventures: the case of benzodiazepines." UKnowledge, 2015. http://uknowledge.uky.edu/pharmacy_etds/49.
Full textAl-Omran, Ola A. "Factors affecting medication adherence in children." Thesis, University of Brighton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392875.
Full textDay, Jennifer Carol. "Schizophrenic patients' experiences of neuroleptic medication." Thesis, University of Liverpool, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262388.
Full textHarpur, Ruth Ann. "ADHD medication related attitudes and behaviours." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439375.
Full textAshmore, Jamile Abraham. "Predicting medication compliance in asthma sufferers." Scholarly Commons, 1998. https://scholarlycommons.pacific.edu/uop_etds/2712.
Full textNugraheni, Gesnita. "Managing Medication Regimen: Arthritis Patients' Perception." University of Toledo Health Science Campus / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=mco1372863682.
Full textJudice, Martha Arambel. "Medication assistance programs for Montana elders." Montana State University, 2004. http://etd.lib.montana.edu/etd/2004/judice/JudiceM0805.pdf.
Full textRogers, Philip John. "Patient medication records by community pharmacy." Thesis, University of Bath, 1993. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357290.
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