Skip available courses

Available courses

  • Randomised controlled trials (RCTs) form the basis for evidence-based medicine and healthcare. Their use has radically transformed patient care. Many thousands of RCTs are completed each year and their results change clinical practice and inform clinical guidelines. Although the principles of a RCT are relatively straightforward, it is important that they are designed and conducted to the highest standard so we can rely on their results. In this course the core methods are explained and you will be exposed to different RCT designs to enable you to critically appraise published RCTs and to design your own.

  • Overview:

    Health policy, clinical and public health practice should be informed by the available evidence. Systematic reviews or evidence syntheses are comprehensive, rigorous and critical summaries of the available research evidence on a specific topic. Relevant studies are systematically identified, their data extracted and synthesized in narrative form and, where appropriate, statistically or thematically pooled, taking care to minimize error and bias. This module provides students with appropriate knowledge and training required for finding, interpreting and conducting systematic reviews

  • Overview:

    It expands on the basic introduction to statistical methods provided in the Introduction to Health Statistics module. This module aims to develop knowledge and skills for processing and statistical analysis of health research data using different statistical soft wares. The students are expected to develop an understanding of selecting and applying appropriate statistical methods for different research designs and of critically appraising the evidence and translating.

  • Learning Outcomes

    This module aims to develop an understanding of basic concepts in epidemiology and health statistics.Students will learn about data sources, study design and their associated strengths and weaknesses; be able to calculate and interpret basic epidemiological and demographic measures; and to critically appraise the relevant literature. Students will gain knowledge and skills for processing and statistical analysis of health research data and the use of research generated evidence in medical practice and decision-making. The students are expected to develop an understanding of selecting and applying appropriate statistical methods for different research designs and of critically appraising the evidence and translating.

  • Learning Outcomes:

    To demonstrate professionalism in dealing with patients presenting with gender specific problems.
    To respect patient privacy and autonomy.
    To demonstrate compassion and respect to others.
    To demonstrate sensitivity to diverse population with no limitation to gender, age, culture, religion, and disability.
    To refer to other health professionals and specialists as needed.
    To promote health and well-being by applying health promotion and disease prevention strategies appropriately.
    To treat patients in a non-judgmental way be mindful of patient confidentiality

  • Learning Outcomes:

    • To manage common complaints, patient presents with in primary care.
    • To manage conditions that may present early and in an undifferentiated way.
    • To provided holistic and patient centre care to elderly population.
    • To adopt evidence based clinical information management: selectively gather and interpret information from history-taking, physical examination, and investigations and apply it to an appropriate management plan in collaboration with the patient.
    • To use effectively and efficiently diagnostic and therapeutic interventions as needed.
    • To refer to other health professionals and specialists as needed.
    • To promote health and well-being by applying health promotion and disease prevention strategies appropriately.
    • To be mindful of patient’s capacity and consent
  • Learning Outcomes: To identify common red-flags in mental illness, MSK, Common dermatological conditions, respiratory, including renal and GI problem To be able to deal with common emergencies and provide appropriate initial management Differentiate and manage depression and anxiety in primary care Diagnose psychotic symptoms and signs of self-harm and refer promptly To safely manage these common conditions seen in the community setting in a holistic manner To be aware of the allied health services and provisions for these conditions in the community To be aware of limitations and personal competence when dealing with these conditions To be aware of area specific illness To prescribe cost effectively and avoid un-necessary prescribing To work on increasing community and patient awareness by promoting awareness about self-limiting illness.

  • Learning Outcomes:

    Diagnose and manage common chronic diseases such as hypertension, diabetes, Ischaemic heart diseases, CCF, hepatitis etc Understand the diagnostic criteria and management guidelines of prevalent chronic conditions especially non-communicable diseases. Evaluate own role and limitations in interdisciplinary team work to manage chronic diseases To safely manage these common conditions seen in the community setting in a holistic manner To be aware of the allied health services and provisions for these conditions in the community To be aware of limitations and personal competence when dealing with these conditions and refer appropriately when needed To advocate for individual and community health. To prescribe cost effectively and avoid un-necessary prescribing To promote health and well-being by applying health promotion and disease prevention strategies appropriately

  • Learning Outcomes

    • By the end of this module, a learner will be able to:
    • Understand the principles and basics of Family Medicine
    • Demonstrate the understanding of person centred and holistic care through empathic and effective communication skills
    • Act as advocate for the patient and appropriately refer to next level of care as and when needed.
    • Involve patients in the management of their diseases and conditions
    • Construct a diagnosis based on focused examination skills.
    • Interpret common laboratory investigations such as complete blood count, liver function tests, renal function tests, urinalysis, HbA1C.
    • Interpret ECG and identify abnormal findings.
  • Master in Health Research Batch 07 Sesson 01


Skip site news

Site news

Picture of Rehmatullah Khan
Diploma in Family Medicine Batch 02 1st Contact Session
by Rehmatullah Khan - Friday, 8 November 2019, 05:20 AM
 

Dear All Concerned.

It is for your information that your 1st contact session of DFM Batch-02 Fall 2019 will start from Tuesday 26 November till 2 December, 2019. 

Full Scdedule for the rest of the year will be shared later.

 
Picture of Rehmatullah Khan
MHR 1st Contact session of 7th Batch and MS Epi & Biostatistics 1st Batch 1st Contact Session
by Rehmatullah Khan - Monday, 22 October 2018, 05:58 PM
 

MHR 1st Contact session of 7th Batch and MS Epi & Biostatistics y6t5h Batch Session 01 is scheduled on October 19-28,2018

 
Picture of Rehmatullah Khan
Family Medicine 2nd Contact Session of 1st Batch
by Rehmatullah Khan - Thursday, 18 October 2018, 10:04 AM
 

Diploma in Family Medicine 2nd  contact session of 1st batch is scheduled on November 5-10,2018

 
Picture of Rehmatullah Khan
Mid term exam
by Rehmatullah Khan - Tuesday, 8 January 2013, 10:44 AM
 

Dear all,

you are informed that mid term exam of 1st Batch (2012-2013) MHR means old students of MHR is scheduled to be held on Jan 11, 2013 at 2pm in KMU IBMS.

 
Picture of Rehmatullah Khan
Gregory Pappas Lecture
by Rehmatullah Khan - Tuesday, 8 January 2013, 10:40 AM
 

Dear all, you all are informed through moodle that tomorrow i.e on Jan 09, 2013, Gregory pappas will deliver online lecture for old and new batch on National Health survey of Pakistan at 9am.

 

Welcome to Khyber Medical University's Master in Health Research Program.

Skip Calendar

Calendar

Sun Mon Tue Wed Thu Fri Sat
            1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30 31      
Skip Course categoriesSkip Main menu

Main menu

Skip Navigation

Navigation