Impact of intensified pharmaceutical care on health related quality of life in patients with stroke in a tertiary care hospital

Abstract

Background: The study investigates the pharmaceutical care concept to optimize drug therapy, minimize drug related problems and thereby improving health related quality of life (HRQoL) of stroke patients. Since stroke is a major health problem that negatively affects the patient's quality of life, it is relevant to the current pharmaceutical care scenario in a developing country like India. HRQoL related to stroke and life satisfaction after stroke is the important healthcare measures. Methodology: Prospective interventional study conducted among inpatients of neurology department in a tertiary care referral hospital. 128 Patients with TIA/ischemic stroke were allocated to intervention group and control group (64 in each group). Pharmaceutical care was provided to the patients in the intervention group. SF-36 questionnaire was administered to both control group and interventional group to evaluate the patient's HRQoL. Adherence to entire therapy and antithrombotic therapy in both control group and intervention group were assessed using Morisky Medication Adherence Scales MMAS-8. Results: Prevalence of ischemic stroke was more compared to hemorrhagic stroke. During the study, the intervention group showed high adherence to overall therapy than the control group. With an intensified pharmaceutical care, improvement in the HRQoL was observed in intervention group and was manifested in subscales and summary measures of SF-36. Conclusion: The study enables demonstration and application of a pharmaceutical care program among stroke patients to prevent complications to improve HRQoL. This study indicates that pharmaceutical care can be performed in both hospital and community settings as it provides more benefit and positive impact on patient'HRQoL.

Medication self-management interventions for persons with stroke: A scoping review

“…Studies were conducted across 20 different countries, with the majority conducted in the United States (n = 14) [ 38 , 42 – 45 , 50 , 57 , 59 , 67 , 74 , 81 – 83 , 88 ] and China (n = 11) [ 40 , 46 , 73 , 76 – 80 , 84 – 86 ]. Other countries included the United Kingdom (n = 4) [ 63 , 64 , 69 , 72 ], South Korea (n = 2) [ 55 , 56 ], Australia (n = 2) [ 41 , 65 ], Belgium (n = 2) [ 54 , 75 ], Germany (n = 2) [ 49 , 60 ], Ghana (n = 2) [ 68 , 89 ], Hong Kong (n = 2) [ 70 , 71 ], India (n = 2) [ 34 , 39 ], Malaysia (n = 2) [ 35 , 87 ], New Zealand (n = 2) [ 36 , 61 ], Pakistan (n = 2) [ 52 , 53 ], Austria (n = 1) [ 47 ], Denmark (n = 1) [ 48 ], France (n = 1) [ 37 ], Israel (n = 1) [ 62 ], Japan (n = 1) [ 66 ], Thailand (n = 1) [ 58 ], and Turkey (n = 1) [ 51 ].…”

“…The sample sizes varied, ranging from 2 participants to 5,882 participants (median = 174; IQR = 202). The majority of articles reported the sex (n = 32) [ 34 , 38 , 41 , 43 – 49 , 52 , 53 , 56 , 57 , 59 , 61 , 65 , 66 , 68 – 74 , 77 – 79 , 84 – 86 , 88 ] or gender (n = 19) [ 35 , 37 , 39 , 40 , 42 , 51 , 54 , 55 , 58 , 60 , 62 , 63 , 75 , 76 , 80 – 83 , 87 ] of participants, but no articles reported both sex and gender. Level of education was reported by 29 articles [ 35 , 36 , 39 , 42 , 45 , 47 , 50 – 53 , 55 , 58 , 59 , 62 , 68 , 70 , 71 , 73...…”

“…Level of education was reported by 29 articles [ 35 , 36 , 39 , 42 , 45 , 47 , 50 – 53 , 55 , 58 , 59 , 62 , 68 , 70 , 71 , 73 , 74 , 76 – 81 , 84 , 87 – 89 ], with variability in how education level was collected and how the highest level of education achieved by the participant was reported. Approximately one third of included articles reported the participants’ ethnicity (n = 19) [ 35 , 36 , 42 – 45 , 50 , 59 , 61 – 64 , 69 , 74 , 81 – 83 , 87 , 89 ], marital status (n = 17) [ 36 , 39 , 50 , 51 , 55 , 58 , 69 – 71 , 73 , 74 , 76 , 77 , 82 – 84 , 88 ], and employment status (n = 17) [ 35 ,…”

“…Approximately one third of included articles reported the participants’ ethnicity (n = 19) [ 35 , 36 , 42 – 45 , 50 , 59 , 61 – 64 , 69 , 74 , 81 – 83 , 87 , 89 ], marital status (n = 17) [ 36 , 39 , 50 , 51 , 55 , 58 , 69 – 71 , 73 , 74 , 76 , 77 , 82 – 84 , 88 ], and employment status (n = 17) [ 35 , 36 , 50 , 51 , 55 , 58 , 63 , 68 – 71 , 76 , 82 , 83 , 87 – 89 ]. Income level (n = 12) [ 45 , 46 , 51 , 52 , 55 , 58 , 59 , 62 , 68 , 73 , 76 ,…”

Consultório Farmacêutico: Uma Nova Perspectiva Para Promoção De Saúde

“…Portanto, o seguimento farmacoterapêutico apresenta um impacto positivo na adesão a terapia, e os pacientes se mostraram satisfeitos com os resultados da consulta (Chandrasekhar et al, 2018;Huszcz RS, Sato MO, Santiago RM, 2018;Stuurman-Bieze et al, 2014).…”