Unravelling the dilemma of self-medication in Egypt: a cross-sectional survey on knowledge, attitude, and practice of the general Egyptian population.
Self-medication (SM) is a rising public health issue, especially in developing countries. It can be associated with various problems such as the delayed seeking of medical advice, drug interactions, and serious events such as antimicrobial drug resistance. We aimed to evaluate the Egyptian general population's knowledge, attitudes, and practices of SM.
We employed a cross-sectional design between February 7th and March 8th, 2023 using a self-administered questionnaire available in Arabic. The questionnaire was developed based on previous studies and included four domains: sociodemographic data, knowledge, attitude, and practice of SM. We utilized both online (Google Forms) and paper surveys, utilizing convenience and snowball sampling methods. Data were analyzed using R Statistical Software (v4.1.3; R Core Team 2022).
1630 Egyptian individuals (838 females and 792 males) from the seven provinces were enrolled, with a median age of 25 years (IQR: 22-40). Around 55.97% and 48.28% of the participants had good knowledge and favorable attitudes regarding SM respectively, while 62.8% had practiced SM in the previous three months. The most frequently used medications were painkillers (60.74%) followed by antibiotics (32.13%) and antipyretics (28.61%). The pharmacist's recommendation was the source of SM for 53.61% while 31.53% used old medications at home. Most participants (59.08%) practiced SM because they thought they had simple or minor symptoms. The multivariate regression analysis revealed that females had significantly higher knowledge of SM than males (aOR: 2.10; 95%CI: 1.64-2.71; p-value < 0.001), with no significant differences in practice (aOR: 1.24; 95%CI: 0.99 - 1.56; p-value = 0.065). Individuals working or studying in the medical field were significantly more knowledgeable about SM (aOR: 4.30; 95%CI: 3.27-5.69; p-value < 0.001) and more likely to practice SM (aOR: 1.65; 95%CI: 1.26-2.17; p-value < 0.001). The odds of SM decreased with favorable attitudes (aOR: 0.44; 95%CI: 0.36-0.55; p-value < 0.001) while surprisingly, knowledge level was not significantly contributing to SM practice (aOR: 1.15; 95%CI: 0.90-1.48; p-value = 0.268).
SM is prevalent in Egypt, highlighting the importance of raising awareness and encouraging physician consultation as a priority. Governments, healthcare organizations, and educational institutions need to collaborate to provide the necessary support and resources.
Ali HT
，Barakat M
，Abdelhalim AR
，Al-Kurd IN
，Muhammad MK
，Sharkawy MM
，Elbahnasawy M
，Amer SA
，Self-Medication Collaborative Group
... -
《BMC PUBLIC HEALTH》
Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.
Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided.
(1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS?
Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses.
Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS.
Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments.
Level III, diagnostic study.
Lee CC
，Chen CW
，Yen HK
，Lin YP
，Lai CY
，Wang JL
，Groot OQ
，Janssen SJ
，Schwab JH
，Hsu FM
，Lin WH
... -
《-》
Interventions to increase patient and family involvement in escalation of care for acute life-threatening illness in community health and hospital settings.
There is now a rising commitment to acknowledge the role patients and families play in contributing to their safety. This review focuses on one type of involvement in safety - patient and family involvement in escalation of care for serious life-threatening conditions i.e. helping secure a step-up to urgent or emergency care - which has been receiving increasing policy and practice attention. This review was concerned with the negotiation work that patient and family members undertake across the emergency care escalation pathway, once contact has been made with healthcare staff. It includes interventions aiming to improve detection of symptoms, communication of concerns and staff response to these concerns.
To assess the effects of interventions designed to increase patient and family involvement in escalation of care for acute life-threatening illness on patient and family outcomes, treatment outcomes, clinical outcomes, patient and family experience and adverse events.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL, MEDLINE (OvidSP), Embase (OvidSP), PsycINFO (OvidSP) ClinicalTrials.gov and the World Health Organization (WHO) International Clinical Trials Registry Platform from 1 Jan 2000 to 24 August 2018. The search was updated on 21 October 2019.
We included randomised controlled trials (RCTs) and cluster-randomised controlled trials where the intervention focused on patients and families working with healthcare professionals to ensure care received for acute deterioration was timely and appropriate. A key criterion was to include an interactive element of rehearsal, role play, modelling, shared language, group work etc. to the intervention to help patients and families have agency in the process of escalation of care. The interventions included components such as enabling patients and families to detect changes in patients' conditions and to speak up about these changes to staff. We also included studies where the intervention included a component targeted at enabling staff response.
Seven of the eight authors were involved in screening; two review authors independently extracted data and assessed the risk of bias of included studies, with any disagreements resolved by discussion to reach consensus. Primary outcomes included patient and family outcomes, treatment outcomes, clinical outcomes, patient and family experience and adverse events. Our advisory group (four users and four providers) ensured that the review was of relevance and could inform policy and practice.
We included nine studies involving 436,684 patients and family members and one ongoing study. The published studies focused on patients with specific conditions such as coronary artery disease, ischaemic stroke, and asthma, as well as pregnant women, inpatients on medical surgical wards, older adults and high-risk patients with a history of poor self-management. While all studies tested interventions versus usual care, for four studies the usual care group also received educational or information strategies. Seven of the interventions involved face-to-face, interactional education/coaching sessions aimed at patients/families while two provided multi-component education programmes which included components targeted at staff as well as patients/families. All of the interventions included: (1) an educational component about the acute condition and preparedness for future events such as stroke or change in fetal movements: (2) an engagement element (self-monitoring, action plans); while two additionally focused on shared language or communication skills. We had concerns about risk of bias for all but one of the included studies in respect of one or more criteria, particularly regarding blinding of participants and personnel. Our confidence in results regarding the effectiveness of interventions was moderate to low. Low-certainty evidence suggests that there may be moderate improvement in patients' knowledge of acute life-threatening conditions, danger signs, appropriate care-seeking responses, and preparedness capacity between interactional patient-facing interventions and multi-component programmes and usual care at 12 months (MD 4.20, 95% CI 2.44 to 5.97, 2 studies, 687 participants). Four studies in total assessed knowledge (3,086 participants) but we were unable to include two other studies in the pooled analysis due to differences in the way outcome measures were reported. One found no improvement in knowledge but higher symptom preparedness at 12 months. The other study found an improvement in patients' knowledge about symptoms and appropriate care-seeking responses in the intervention group at 18 months compared with usual care. Low-certainty evidence from two studies, each using a different measure, meant that we were unable to determine the effects of patient-based interventions on self-efficacy. Self-efficacy was higher in the intervention group in one study but there was no difference in the other compared with usual care. We are uncertain whether interactional patient-facing and multi-component programmes improve time from the start of patient symptoms to treatment due to low-certainty evidence for this outcome. We were unable to combine the data due to differences in outcome measures. Three studies found that arrival times or prehospital delay time was no different between groups. One found that delay time was shorter in the intervention group. Moderate-certainty evidence suggests that multi-component interventions probably have little or no impact on mortality rates. Only one study on a pregnant population was eligible for inclusion in the review, which found no difference between groups in rates of stillbirth. In terms of unintended events, we found that interactional patient-facing interventions to increase patient and family involvement in escalation of care probably have few adverse effects on patient's anxiety levels (moderate-certainty evidence). None of the studies measured or reported patient and family perceptions of involvement in escalation of care or patient and family experience of patient care. Reported outcomes related to healthcare professionals were also not reported in any studies.
Our review identified that interactional patient-facing interventions and multi-component programmes (including staff) to increase patient and family involvement in escalation of care for acute life-threatening illness may improve patient and family knowledge about danger signs and care-seeking responses, and probably have few adverse effects on patient's anxiety levels when compared to usual care. Multi-component interventions probably have little impact on mortality rates. Further high-quality trials are required using multi-component interventions and a focus on relational elements of care. Cognitive and behavioural outcomes should be included at patient and staff level.
Mackintosh NJ
，Davis RE
，Easter A
，Rayment-Jones H
，Sevdalis N
，Wilson S
，Adams M
，Sandall J
... -
《Cochrane Database of Systematic Reviews》
ResearchGate
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钛学术
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