METHODS: A clinic based, cross sectional study using the Short Form-36 (SF-36) questionnaire was conducted in two primary care health clinics in Hulu Langat, Selangor, Malaysia over a period of 8 months. The nurses and medical assistants were involved in recruiting the patients while the family physicians conducted the interview.
RESULTS: A total 151 respondents were recruited. The mean age was 65.6 +/- 10.8 years with females constituted 119 (78.8%) of the patients. The mean duration of knee pain was 4.07 +/- 2.96 years. Half of the patients were overweight and majority, 138 (91.4%), had at least one co-morbidity, the commonest being hypertension. The physical health status showed lower score as compared to mental health component. The domain concerning mental health components showed positive correlation with age. There was a significant negative correlation between age and physical functioning (p < 0.0005) which indicated the deterioration of this domain as patients became older. Male respondents had better scores in most of the QOL dimensions especially in the physical functioning domain (p = 0.03). There was no significant association between QOL with different education levels, employment status and marital status. Patients with higher body mass index (BMI) and existence co-morbidities scored lower in most of the QOL domains.
CONCLUSIONS: This study has shown that patients with knee OA attending primary care clinics have relatively poor quality of life pertaining to the physical health components but less impact was seen on the patients' mental health.
METHODS: This was a retrospective cohort study of 859 community-dwelling patients aged ≥70 years treated at 15 primary care practices. Patients were asked if they had experienced any of a list of 74 symptoms classified by physiologic system in the previous 6 months and if (1) they believed the symptom to be related to their medication, (2) the symptom had bothered them, (3) they had discussed it with their family physician, and (4) they required hospital care due to the symptom. Self-reported symptoms were independently reviewed by 2 clinicians who determined the likelihood that the symptom was an ADE. Family physician medical records were also reviewed for any report of an ADE.
RESULTS: The ADE instrument had an accuracy of 75% (95% CI, 77%-79%), a sensitivity of 29% (95% CI, 27%-31%), and a specificity of 93% (95% CI, 92%-94%). Older people who reported a symptom had an increased likelihood of an ADE (positive likelihood ratio [LR+]: 4.22; 95% CI, 3.78-4.72). Antithrombotic agents were the drugs most commonly associated with ADEs. Patients were most bothered by muscle pain or weakness (75%), dizziness or lightheadedness (61%), cough (53%), and unsteadiness while standing (52%). On average, patients reported 39% of ADEs to their physician. Twenty-six (3%) patients attended a hospital outpatient clinic, and 32 (4%) attended an emergency department due to ADEs.
CONCLUSION: Older community-dwelling patients were often not correct in recognizing ADEs. The ADE instrument demonstrated good predictive value and could be used to differentiate between symptoms of ADEs and chronic disease in the community setting.
METHODS: The HomeSat subscale of the Dutch SASC-19 questionnaire (11 items) underwent back-to-back translation to produce a Malay language version. Content validation was done by Family Medicine Specialists involved in community post-stroke care. Community social support services in the original questionnaire were substituted with equivalent local services to ensure contextual relevance. Internal consistency reliability was determined using Cronbach alpha. Exploratory factor analysis was done to validate the factor structure of the Malay version of the questionnaire (SASC10-My™). The SASC10-My™ was then tested on 175 post-stroke patients who were recruited at ten public primary care healthcentres across Peninsular Malaysia, in a trial-within a trial study.
RESULTS: One item from the original Dutch SASC19 (HomeSat) was dropped. Internal consistency for remaining 10 items was high (Cronbach alpha 0.830). Exploratory factor analysis showed the SASC10-My™ had 2 factors: discharge transition and social support services after discharge. The mean total score for SASC10-My™ was 10.74 (SD 7.33). Overall, only 18.2% were satisfied with outpatient stroke care services (SASC10-My™ score ≥ 20). Detailed analysis revealed only 10.9% of respondents were satisfied with discharge transition services, while only 40.9% were satisfied with support services after discharge.
CONCLUSIONS: The SASC10-My™ questionnaire is a reliable and valid tool to measure caregiver or patient satisfaction with outpatient stroke care services in the Malaysian healthcare setting. Studies linking discharge protocol patterns and satisfaction with outpatient stroke care services should be conducted to improve care delivery and longer-term outcomes.
TRIAL REGISTRATION: No.: ACTRN12616001322426 (Registration Date: 21st September 2016.