Suliat Case Study
Suliat Case Study
INTRODUCTION
1.1. Background of the Study
2. Diabetes Mellitus (DM) represents a complex, chronic metabolic disorder characterized
by persistent hyperglycemia (elevated blood glucose levels) resulting from defects in
insulin secretion, insulin action, or both. This dysregulation disrupts the metabolism of
carbohydrates, fats, and proteins, leading to acute metabolic decompensation and long-
term damage, dysfunction, and failure of various organs, particularly the eyes, kidneys,
nerves, heart, and blood vessels (American Diabetes Association Professional Practice
Committee, 2024; International Diabetes Federation, 2021).
3. The global burden of diabetes is staggering and escalating. According to the International
Diabetes Federation (IDF) Diabetes Atlas (2021), approximately 537 million adults (20-
79 years) were living with diabetes worldwide in 2021. This number is projected to rise to
643 million by 2030 and 783 million by 2045. This increase is driven by complex
interactions of factors including aging populations, urbanization, sedentary lifestyles,
dietary shifts towards processed foods and sugary beverages, and rising obesity rates.
Diabetes imposes an immense health and economic burden, contributing significantly to
cardiovascular disease (the leading cause of death globally), kidney failure, blindness, and
lower limb amputations. The IDF estimated global diabetes-related health expenditures
reached USD 966 billion in 2021, representing a 316% increase over the past 15 years
(IDF, 2021).
CHAPTER TWO
2.0. LITERATURE REVIEW
The literature review for this case study will be reviewed under the following subheadings:
2.1. Overview of Diabetics Mellitus
2.1.1. Introduction: Defining the Global Epidemic
Diabetes Mellitus (DM) represents a complex, chronic metabolic disorder characterized by
persistent hyperglycemia (elevated blood glucose levels) resulting from defects in insulin
secretion, insulin action, or both. This dysregulation disrupts the metabolism of
carbohydrates, fats, and proteins, leading to acute metabolic decompensation and long-term
damage, dysfunction, and failure of various organs, particularly the eyes, kidneys, nerves,
heart, and blood vessels (American Diabetes Association Professional Practice Committee,
2024; International Diabetes Federation, 2021).
The global burden of diabetes is staggering and escalating. According to the International
Diabetes Federation (IDF) Diabetes Atlas (2021), approximately 537 million adults (20-79
years) were living with diabetes worldwide in 2021. This number is projected to rise to 643
million by 2030 and 783 million by 2045. This increase is driven by complex interactions of
factors including aging populations, urbanization, sedentary lifestyles, dietary shifts towards
processed foods and sugary beverages, and rising obesity rates. Diabetes imposes an immense
health and economic burden, contributing significantly to cardiovascular disease (the leading
cause of death globally), kidney failure, blindness, and lower limb amputations. The IDF
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estimated global diabetes-related health expenditures reached USD 966 billion in 2021,
representing a 316% increase over the past 15 years (IDF, 2021).
2.1.2. Classification of Diabetes Mellitus
The classification of diabetes has evolved, moving away from terms like "insulin-dependent"
or "non-insulin-dependent" towards etiological categories. The most widely accepted
classifications are those from the American Diabetes Association (ADA) and the World
Health Organization (WHO), which largely align (American Diabetes Association
Professional Practice Committee, 2024; World Health Organization, 2019). The main
categories are:
1. Type 1 Diabetes Mellitus (T1DM): Caused by autoimmune β-cell destruction, usually
leading to absolute insulin deficiency.
2. Type 2 Diabetes Mellitus (T2DM): Caused by a progressive loss of β-cell insulin
secretion frequently on the background of insulin resistance.
3. Gestational Diabetes Mellitus (GDM): Diabetes diagnosed in the second or third
trimester of pregnancy that was not clearly overt diabetes prior to gestation.
4. Specific Types of Diabetes Due to Other Causes:
Monogenic Diabetes Syndromes (e.g., MODY: Maturity-Onset Diabetes of the
Young, neonatal diabetes)
Diseases of the Exocrine Pancreas (e.g., pancreatitis, pancreatectomy, cystic fibrosis)
Endocrinopathies (e.g., Cushing's syndrome, acromegaly, pheochromocytoma)
Drug- or Chemical-Induced Diabetes (e.g., glucocorticoids, antipsychotics, after
organ transplantation)
Infections (e.g., congenital rubella, cytomegalovirus)
Uncommon forms of immune-mediated diabetes (e.g., "Stiff-person" syndrome, anti-
insulin receptor antibodies)
Other Genetic Syndromes Sometimes Associated with Diabetes (e.g., Down
syndrome, Klinefelter syndrome, Turner syndrome, Prader-Willi syndrome).
2.1.3. Pathophysiology: The Core of Hyperglycemia
Regardless of the type, the fundamental defect in diabetes is an inability to maintain
normoglycemia due to an imbalance between insulin availability and insulin need. Insulin,
secreted by pancreatic β-cells in the islets of Langerhans, is the primary anabolic hormone
regulating glucose homeostasis. Its key actions include:
Promoting Glucose Uptake: Stimulating glucose transport into skeletal muscle and adipose
tissue via GLUT4 translocation.
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Inhibiting Hepatic Glucose Production: Suppressing glycogenolysis (breakdown of
glycogen) and gluconeogenesis (production of new glucose) in the liver.
Promoting Glycogen Synthesis: Stimulating storage of glucose as glycogen in liver and
muscle.
Inhibiting Lipolysis: Reducing breakdown of fats in adipose tissue.
Promoting Protein Synthesis: Stimulating amino acid uptake and protein synthesis in
muscle.
Inhibiting Ketogenesis: Preventing excessive production of ketone bodies by the liver.
Hyperglycemia arises when insulin secretion is insufficient to overcome insulin resistance, or
when absolute insulin deficiency exists. Chronic hyperglycemia drives tissue damage through
several interconnected pathways:
Increased Polyol Pathway Flux: Excess glucose is metabolized via aldose reductase to
sorbitol, depleting NADPH and glutathione (key antioxidant), causing osmotic stress and
oxidative damage.
Advanced Glycation End-Product (AGE) Formation: Glucose non-enzymatically attaches
to proteins, lipids, and nucleic acids, forming AGEs. AGEs alter protein function, generate
reactive oxygen species (ROS) via receptor (RAGE) binding, and promote inflammation and
vascular damage.
Protein Kinase C (PKC) Activation: Hyperglycemia increases diacylglycerol (DAG)
synthesis, activating PKC isoforms. PKC activation contributes to vascular dysfunction,
altered gene expression, angiogenesis abnormalities, and increased permeability.
Increased Hexosamine Biosynthetic Pathway Flux: Excess fructose-6-phosphate is
diverted into this pathway, leading to O-linked glycosylation of transcription factors (like
Sp1), altering gene expression (e.g., increasing PAI-1 promoting thrombosis, decreasing
GLUT4 expression).
Mitochondrial Superoxide Overproduction: Hyperglycemia increases electron donors
(NADH, FADH2) to the electron transport chain, exceeding capacity and causing superoxide
(ROS) leakage. This mitochondrial ROS is considered a key initiator activating the other
pathways above (Brownlee, 2020).
2.1.4. Type 1 Diabetes Mellitus (T1DM)
Definition: T1DM is a chronic condition characterized by severe insulin deficiency resulting
from autoimmune-mediated destruction of pancreatic β-cells in genetically susceptible
individuals. Absolute insulin deficiency necessitates lifelong exogenous insulin therapy for
survival (American Diabetes Association Professional Practice Committee, 2024).
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Epidemiology: Accounts for approximately 5-10% of all diabetes cases. Incidence varies
geographically, being highest in Northern Europe. Incidence is increasing globally,
particularly in young children (Dimitri, 2020). There are peaks in incidence around ages 4-7
years and near puberty (10-14 years), but onset can occur at any age (termed Latent
Autoimmune Diabetes in Adults - LADA when onset is after ~30 years).
Environmental Triggers: Factors implicated in triggering autoimmunity in susceptible
individuals include viral infections (e.g., enteroviruses like Coxsackievirus B, rubella,
mumps), dietary factors (e.g., early exposure to cow's milk, gluten, vitamin D deficiency), gut
microbiome dysbiosis, and possibly toxins (Stene et al., 2020; Vangoitsenhoven & Cresci,
2020).
Stages of Development: The ADA now recognizes three distinct stages (American Diabetes
Association Professional Practice Committee, 2024):
Stage 1: Autoimmunity (≥2 islet autoantibodies present) with normoglycemia. No symptoms.
Stage 2: Autoimmunity with dysglycemia (e.g., impaired fasting glucose, impaired glucose
tolerance). No symptoms.
Stage 3: Clinical diagnosis with symptomatic hyperglycemia and/or diabetic ketoacidosis
(DKA).
2.1.5. Type 2 Diabetes Mellitus (T2DM)
Definition: T2DM is characterized by a combination of insulin resistance in peripheral
tissues (muscle, liver, adipose) and relative insulin deficiency due to β-cell dysfunction. It
represents the vast majority (90-95%) of diabetes cases worldwide (American Diabetes
Association Professional Practice Committee, 2024; International Diabetes Federation, 2021).
Epidemiology: Prevalence is rising dramatically, paralleling the global obesity epidemic.
Risk factors include obesity (especially central/visceral adiposity), physical inactivity, family
history, certain ethnicities (e.g., South Asian, African-Caribbean, Hispanic, Native
American), aging, history of GDM, and polycystic ovary syndrome (PCOS). Onset is
typically gradual and occurs later in life, although alarming increases in incidence are seen in
adolescents and young adults due to childhood obesity (Mayer-Davis et al., 2017).
Pathophysiology: A complex interplay of genetic predisposition and environmental/lifestyle
factors leading to insulin resistance and β-cell failure. Unlike T1DM, autoimmunity is not a
primary feature.
Genetic Susceptibility: T2DM has a strong heritable component, but it is polygenic,
involving hundreds of common variants, each conferring a small increase in risk. Genome-
wide association studies (GWAS) have identified numerous susceptibility loci, many
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involved in β-cell function (e.g., TCF7L2, KCNJ11, ABCC8, SLC30A8), insulin signaling
(e.g., IRS1, PPARG), and adipocyte biology (e.g., FTO). Epigenetic modifications induced
by factors like maternal hyperglycemia or early life nutrition also play a role (Mahajan et al.,
2022; Ali, 2019).
2.1.6. Gestational Diabetes Mellitus (GDM)
Definition: GDM is defined as diabetes diagnosed in the second or third trimester of
pregnancy that is not clearly overt diabetes prior to gestation (American Diabetes Association
Professional Practice Committee, 2024).
Epidemiology: Prevalence varies widely (1-28%) depending on diagnostic criteria, ethnicity,
and population risk factors (e.g., obesity, age, family history). Rates are rising globally due to
increasing maternal age and obesity (Ferrara, 2021).
Pathophysiology: Pregnancy is a state of progressive insulin resistance, primarily driven by
placental hormones (human placental lactogen - hPL, progesterone, cortisol, prolactin) and
increased maternal adiposity. These hormones antagonize insulin action, ensuring adequate
glucose supply to the fetus. Normally, maternal β-cells compensate by increasing insulin
secretion 2-3 fold. GDM develops when maternal β-cell function is insufficient to overcome
the insulin resistance of pregnancy (Plows et al., 2018).
2.1.7. Other Specific Types of Diabetes
i. Monogenic Diabetes (MODY and Neonatal Diabetes):
Definition: Caused by single-gene mutations, typically inherited in an autosomal dominant
manner. MODY usually presents in adolescence or young adulthood (<25 years), often with a
strong family history. Neonatal diabetes presents within the first 6 months of life (Hattersley
& Patel, 2022).
Pathophysiology: Mutations disrupt β-cell development or function. Common types include:
GCK-MODY (MODY2): Glucokinase mutations (act as glucose sensor) cause mild,
stable fasting hyperglycemia present from birth. Minimal complications; rarely
requires treatment beyond diet.
HNF1A-MODY (MODY3) & HNF4A-MODY (MODY1): Transcription factor
mutations cause progressive β-cell dysfunction. Sensitive to sulfonylureas.
HNF1B-MODY (MODY5): Associated with renal cysts and uterine abnormalities.
Neonatal Diabetes: Mutations in genes like KCNJ11 (Kir6.2 subunit of KATP
channel), ABCC8 (SUR1 subunit of KATP channel), INS (insulin gene). KATP
channel mutations often respond dramatically to sulfonylureas (Pearson, 2019).
ii. Diseases of the Exocrine Pancreas (Pancreatogenic or Type 3c Diabetes):
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Definition: Diabetes resulting from damage to the pancreas from conditions like chronic
pancreatitis, pancreatic cancer, cystic fibrosis (CFRD), hemochromatosis, pancreatectomy,
trauma, or fibrocalculous pancreatopathy (Rickels et al., 2022).
Pathophysiology: Destruction or loss of pancreatic tissue leads to loss of both endocrine (β-
cells, α-cells) and exocrine function. Insulin deficiency is primary, but glucagon deficiency
can also occur, altering the presentation (e.g., less ketosis, more hypoglycemia risk). Insulin
resistance may also be present, especially with inflammation or steatorrhea. CFRD involves
progressive β-cell destruction due to ductal obstruction, fibrosis, inflammation, and amyloid
deposition, compounded by insulin resistance during infections (Moran et al., 2020).
iii. Endocrinopathies:
Definition: Diabetes caused by excess counter-regulatory hormones antagonizing insulin
action.
Pathophysiology:
Cushing's Syndrome: Excess cortisol promotes gluconeogenesis, induces insulin
resistance, and impairs β-cell function.
Acromegaly: Excess growth hormone induces insulin resistance in muscle and liver.
Pheochromocytoma: Excess catecholamines (epinephrine/norepinephrine) inhibit
insulin secretion and stimulate glycogenolysis/gluconeogenesis.
Glucagonoma: Excess glucagon stimulates hepatic glucose output. Diabetes often
resolves with treatment of the underlying hormone excess (Fleseriu et al., 2021).
iv. Drug- or Chemical-Induced Diabetes:
Definition: Hyperglycemia caused by medications or toxins.
Pathophysiology: Mechanisms vary:
Glucocorticoids: Induce hepatic insulin resistance (increased gluconeogenesis) and
peripheral insulin resistance; may also impair β-cell function.
Atypical Antipsychotics (e.g., olanzapine, clozapine): Cause weight gain/obesity
and direct effects on insulin signaling and β-cell function.
Calcineurin Inhibitors (e.g., tacrolimus, cyclosporine): Direct β-cell toxicity.
Protease Inhibitors (HIV therapy): Cause lipodystrophy and insulin resistance.
Others: Thiazides, β-blockers, niacin, pentamidine, L-asparaginase (Puckrin et al.,
2022).
v. Genetic Syndromes:
Definition: Diabetes occurring as part of a broader genetic disorder.
Examples and Pathophysiology:
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Down Syndrome (Trisomy 21): Increased risk of T1DM and T2DM; mechanisms
include autoimmunity, obesity, and accelerated aging.
Klinefelter Syndrome (XXY): Increased risk of T2DM linked to hypogonadism,
metabolic syndrome, and body composition changes.
Turner Syndrome (45,X): Increased risk of T2DM and autoimmune diabetes;
associated with obesity, dyslipidemia, and often autoimmune thyroid disease.
Prader-Willi Syndrome: Severe obesity due to hyperphagia is the primary driver of
insulin resistance and T2DM.
Wolfram Syndrome (DIDMOAD): Autosomal recessive, caused by WFS1
mutations; characterized by diabetes insipidus, DM, optic atrophy, and deafness;
involves β-cell apoptosis and neurodegeneration (Nelson et al., 2019).
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Sarcopenia and Sarcopenic Obesity: Age-related loss of skeletal muscle mass and strength
(sarcopenia) is a critical factor. Muscle is the primary site for insulin-stimulated glucose
disposal. Reduced muscle mass directly impairs glucose uptake.
Impact of Weight Gain: Weight gain during middle age significantly increases the risk of
developing T2D later in life. Even modest weight gain (5-10 kg) in older adults can
substantially elevate risk, particularly when associated with increased visceral fat (Lingvay et
al., 2019).
3. Physical Inactivity and Sedentary Behavior: Reduced physical activity levels are highly
prevalent in older adults and constitute a major independent and modifiable risk factor.
Mechanisms: Physical inactivity directly contributes to insulin resistance by reducing
glucose transporter (GLUT4) expression and activity in muscle, decreasing muscle mass,
promoting visceral fat accumulation, and impairing mitochondrial function (Cartee et al.,
2020). Sedentary behavior (prolonged sitting) independently exacerbates these risks.
Muscle Metabolism: Exercise, particularly resistance training, is crucial for maintaining
muscle mass (countering sarcopenia) and improving muscle insulin sensitivity. Aerobic
exercise enhances overall cardiorespiratory fitness and glucose utilization.
Epidemiology: Numerous cohort studies demonstrate a strong inverse relationship between
physical activity levels (both leisure-time and daily life activity) and the incidence of T2D in
older adults. Replacing sedentary time with light or moderate activity significantly reduces
risk (Dempsey et al., 2020).
Barriers: Age-related functional limitations (arthritis, balance issues, cardiopulmonary
disease), fear of injury, lack of access, and social isolation can hinder physical activity
participation in the elderly, creating a vicious cycle.
4. Genetic Predisposition: Family history remains a significant non-modifiable risk factor,
indicating the contribution of inherited genetic variants.
Polygenic Risk: T2D is a polygenic disorder. Genome-wide association studies (GWAS)
have identified hundreds of common genetic variants (single nucleotide polymorphisms -
SNPs), each conferring a small increase in risk. The cumulative effect of many risk alleles
contributes significantly to susceptibility (Mahajan et al., 2022). These genes often influence
beta-cell function (e.g., TCF7L2) or insulin action.
Gene-Environment Interactions: Genetic risk is not deterministic. Its expression is heavily
modified by lifestyle factors (diet, activity, obesity). An individual with high genetic
susceptibility can significantly delay or prevent T2D onset through healthy lifestyle choices,
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while an unfavorable environment can unmask genetic risk (Florez, 2019). This interaction is
crucial throughout life, including older age.
Ethnicity: Certain ethnic groups (e.g., African Americans, Hispanic/Latino Americans,
Native Americans, Asian Americans, Pacific Islanders) have a higher predisposition to T2D
at younger ages and lower BMIs compared to non-Hispanic whites. This increased risk
persists into older age and reflects complex interactions between genetics, epigenetics, and
socioeconomic/environmental factors (Chow et al., 2021).
5. Prediabetes and Metabolic Syndrome: These conditions represent a critical intermediate
stage on the pathway to frank T2D.
Prediabetes: Defined by impaired fasting glucose (IFG: fasting glucose 100-125 mg/dL),
impaired glucose tolerance (IGT: 2-hour post-OGTT glucose 140-199 mg/dL), or elevated
HbA1c (5.7-6.4%). A substantial proportion of older adults have prediabetes. Annual
progression rates from prediabetes to diabetes are significant, though potentially slightly
lower than in middle-aged adults, but the absolute number of conversions is high due to the
large at-risk elderly population (Hostalek et al., 2019). Prediabetes itself is associated with
increased cardiovascular risk.
Metabolic Syndrome (MetS): This cluster of cardiometabolic risk factors (central obesity,
elevated blood pressure, elevated fasting glucose, high triglycerides, low HDL cholesterol) is
highly prevalent in older adults. Having MetS dramatically increases the risk of progressing
to T2D and cardiovascular disease (CVD). Insulin resistance is the core pathophysiological
feature linking these components (Saklayen, 2021).
6. Other Contributing Factors
Smoking: Active smoking is a risk factor for T2D, contributing to insulin resistance and
inflammation. While many older adults quit, long-term former smokers may still have
residual risk (Pan et al., 2020).
Alcohol Consumption: Heavy alcohol consumption is associated with increased diabetes
risk and pancreatitis, which can damage beta-cells. Moderate alcohol intake *may* have a
complex relationship, potentially associated with slightly lower risk in some studies, but risks
often outweigh potential benefits, especially in older adults (Knott et al., 2020).
Gut Microbiome: Emerging evidence suggests age-related changes in gut microbiota
composition (dysbiosis) may influence host metabolism, inflammation, and insulin
sensitivity. Specific microbial signatures have been linked to T2D, though causality and
therapeutic implications are still under investigation (Tilg et al., 2020).
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History of Gestational Diabetes Mellitus (GDM): Women with a history of GDM have a
significantly increased lifetime risk of developing T2D, which extends into older age,
particularly if other risk factors like obesity are present (Vounzoulaki et al., 2020).
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approaches. Multidisciplinary teams involving endocrinologists, geriatricians, dietitians, and
diabetes educators optimize outcomes (Vigersky et al., 2020).
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CHAPTER THREE
SELECTED CASE (MRS. WUNMI BAMIDELE)
3.2. Initial Contact and Establishment of Rapport with Mrs. Wunmi Bamidele
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My first encounter with Mrs. Bamidele was at Ori-eru Primary Health Care Center during my
practical training. She was accompanied by her husband, who guided her by the arm as they
walked into the clinic. Mrs. Bamidele was a 45-year-old woman with a composed demeanor,
despite her obvious visual impairment due to cataract. She wore an Ankara dress, which
added a touch of vibrant color to her appearance. Her husband's supportive gesture was
evident as he helped her navigate the clinic.
As I approached her, I greeted her warmly in Yoruba language, "Ekaaro Ma?" (Good
Morning, Ma?). She responded with a smile, "Kaaro, eku ise eni" (Morning, well-done). I
asked her how she was doing, and she replied, "Mo wa dada, o se" (I'm good, thank you).
This initial exchange helped establish a rapport with her.
I then asked Mrs. Bamidele about the purpose of her visit to the clinic, and she explained her
complaints about her vision problems. Her husband occasionally interjected to provide
additional context, demonstrating their collaborative approach to addressing her health
concerns.
The Ori-eru Primary Health Care Center, where I met My client, is a facility that provides
essential healthcare services to the community. On that day, the clinic was bustling with
patients seeking medical attention for various health issues. The atmosphere was calm and
organized, with healthcare professionals attending to patients with care and compassion.
This initial encounter with my client marked the beginning of our interaction, and I was able
to establish a rapport with her through a warm greeting and gentle conversation. Her
husband's presence and support played a significant role in her comfort and confidence
during our interaction.
CHAPTER FOUR
4.0. HOME VISIT RAPPORT AND CLIENT MANAGEMENT
On a sunny afternoon, April 18, 2025, I arrived at Mrs. Bamidele's house, a 45-year-old
woman with cataract. As I approached her home, I took a moment to reflect on the
significance of this visit. Our initial encounter at the Orieru Primary Health Care Center had
laid the foundation for our interaction, and I was eager to build on that rapport.
I knocked on the door, and after a brief moment, it swung open. Mrs. Bamidele stood before
me, her eyes squinting slightly, and a warm smile spreading across her face. Though she
looked a bit unsure about my visit, her demeanor was welcoming. I greeted her warmly,
“Good Afternoon, Ma”, she replied with a gentle smile, "Afternoon, my daughter".
I introduced myself, reminding her of our first encounter at the health center, and explained
the purpose of my home visit. "Mrs. Bamidele, I'm here to provide support and education
about your cataract, and help you with your treatment plan. I'm committed to ensuring that
you receive the best possible care, and I want to assure you that everything we discuss will
remain confidential." I reassured her that my goal was to empower her with knowledge and
support, not to intrude or impose.
Mrs. Bamidele listened attentively, her expression transforming from uncertainty to
understanding. She nodded, and I asked if she was comfortable with me supporting her and
educating her on her current health issue. She agreed, and with a gentle gesture, she led me
into her living room.
As we sat down, I began by asking how she was feeling currently and about her progress with
cataract. "How have you been feeling since our last meeting, Mrs. Bamidele? Have you
noticed any changes in your vision or experienced any discomfort?" Initially, she hesitated,
her responses brief and guarded. However, as our conversation progressed, she began to open
up about her symptoms and the emotional toll the diagnosis had taken on her.
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I listened attentively, offering empathy and reassurance throughout the visit. My friendly and
non-judgmental attitude created a safe space for her to express her thoughts and feelings. I
encouraged her to ask questions and actively participate in her care, ensuring that she felt
empowered and informed.
As we chatted, her husband and one of their children emerged from their room, greeting me
warmly. The atmosphere in the home was welcoming, and I appreciated the opportunity to
interact with Mrs. Bamidele's family. After our discussion, they offered me food, which I
politely declined, thanking them for their hospitality.
Before leaving, I scheduled a follow-up visit and provided Mrs. Bamidele with my contact
information for any additional questions or concerns. I reassured her that she wasn't alone in
this journey, that there was a support system in place to help her through this challenging
time. With gratitude, I bid them goodbye, appreciating their openness and cooperation.
Evaluation: As I departed, I reflected on the significance of this visit. Building trust and
rapport with Mrs. Bamidele was crucial in ensuring her comfort and adherence to her
treatment plan. I was confident that our interaction would have a positive impact on her
journey, and I looked forward to our next meeting.
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S/N DRUG (Class) DOSAGE ACTION DURATION
(Frequency) (Typical Range)
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manipulation
occurred.
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CHAPTER FIVE
5.0. SUMMARY, ADVICE, FOLLOW-UP CARE, AND CONCLUSION
5.1. Summary of the Case Study
This case study documented the journey of Mrs. Wunmi Bamidele, a 45-year-old Yoruba
woman, Islamic faithful, and Okrika clothes trader from Ibadan, diagnosed with bilateral
nuclear cataracts. The cataracts caused significant visual impairment (VA 20/80 bilaterally),
manifesting as blurry vision, night blindness, glare sensitivity, and difficulty differentiating
colors and patterns. This severely impacted her core livelihood activities in the market,
leading to pricing errors, financial losses, and dependence on her daughter. Psychosocially,
Mrs. Bamidele experienced considerable anxiety, frustration, fear of complete blindness, loss
of independence, and feelings of being a burden on her family, particularly her husband and
eldest daughter.
Following diagnosis at Ori-eru Primary Health Care Center, a series of three home visits were
conducted to establish rapport, provide education, address concerns, and support her through
the treatment pathway. Initial anxieties regarding surgery were significant, stemming from
fear of complications, financial implications, and loss of control. Through empathetic
counseling, clear communication about the procedure and post-operative care, and involving
her supportive family, Mrs. Bamidele consented to surgery. The cataract surgery was
successfully performed and resulted in significant alleviation of her symptoms and improved
vision. Post-operatively, she reported relief from discomfort and expressed regret for not
seeking intervention sooner, although experiencing expected minor symptoms like itching.
5.4. Conclusion
Mrs. Wunmi Bamidele's case vividly illustrates the profound impact cataracts can have on a
relatively young, economically active individual in a resource-constrained setting. Her
experience highlights not only the physical burden of progressive vision loss but also the
significant psychosocial and economic consequences, threatening livelihood, independence,
and family dynamics. The successful management of her condition through cataract surgery
underscores this procedure as a highly effective and sight-restoring intervention.
This case study achieved its objectives:
1. Clinical Presentation & Severity: Documented the typical symptoms (blurriness, glare,
night blindness) and functional impact (inability to price goods, thread needles, travel safely
at night) of significant bilateral nuclear cataracts in a mid-aged adult.
2. Treatment Effectiveness: Demonstrated the clear effectiveness of modern cataract
surgery in resolving symptoms and improving functional vision, significantly enhancing
quality of life and independence. Mrs. Bamidele's post-operative relief and regret for delayed
intervention powerfully attest to this.
3. Psychosocial Impact: Revealed the substantial anxiety, fear, frustration, and perceived
loss of independence caused by cataract-related vision impairment. It highlighted the crucial
role of family support (husband, daughter) and faith in coping, and the positive shift in
outlook following successful treatment.
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