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Tiwari, Rawat, Jain, and Biswas: Estimation of morbidity profile and outcomes of geriatric indoor patients in medicine wards of tertiary care center of Bundelkhand region - A retrospective study


Introduction & Background

As the standard of living is improving in developing countries like India, there is a huge burden of elderly people in the society. The elderly population (aged 60 years or above) accounted for 7.4% of total population in 2001. For males it was at 7.1%, while for females it was 7.8%.1 The population of the elderly has shown an increase from just 5.6% in 1961 to 7.7% in 2001. By 2050, older people will out number children under the age of 14 years in India.1, 2

Considering the increasing burden of geriatric health and social problems in India, the World Health Organization (WHO) in collaboration with the Government of India carried out a cross-sectional, community-based study of the elderly population 60 years and above at 10 different sites in different states and union territories of India to evaluate the disease burden.3 So to cater the needs of more elderly people efficiently in the society is the need of the hour. As much of the research work is not done on this population of our region, we are conducting the present study on the admitted geriatric patients of the Medicine wards of Bundelkhand Govt. Medical college Sagar, in the duration of 6 months duration (Feb 2019-July 2019)

Aims and objectives of the study

The primary aim of the study is to estimate the morbidity profile of various diseases in geriatric patients admitted in Medicine wards of BMC Sagar, MP. And to access the outcomes of various diseases in terms of number of discharge /DOR/LAMA/Deaths/ Referral to higher centres in the geriatric age group.

Secondary aim of the study is to assist in the planning of better health care facilities for Geriatric patients of Bundelkhand region of Sagar, according to the disease burden of the same in the society, as it is still underprivileged as compared to other states in terms of per capita income and health care facilities.

Materials and Methods

This is a retrospective, observational, study design. The study was conducted on the convenience sample taken from Geriatric patients above the age of 60 yrs, who were admitted in the medicine wards of Bundelkhand Medical College Sagar, MP in the duration of 6 months starting from Feb 2019 to July 2019 after taking proper approval from the ethical committee of BMC Sagar, MP to conduct the study.(IEC/BMC/12/2020).

Inclusion criteria

  1. Age should be at or above 60 yrs.

  2. Both the sexes were registered

  3. Patient should be registered at BMC Sagar.

Exclusion criteria

  1. Patients not registered in IPD of BMC Sagar.

  2. Age below 60 yrs.

  3. Patients whose data/ files were not complete.

All the registered patients who fulfilled the criteria were included in the study. Both the sexes were included. The data were obtained from the MRD of our hospital, and then data examination of medical records of these patients were done & data obtained according to pre decided study proforma. Which included the socio economic and demographic details of patients, presenting complaints on admission, clinical condition on admission & various available investigations and final diagnosis with outcomes of the patient on records. Various comorbidities were also included along with the final diagnosis. All the previous medical records pertaining to specific medical disorder were seen thoroughly. The General examination and systemic examination findings were included. (Which is according to the case records available). Relevant investigations like FBS/ PPBS, Lipid profile, LFT, RFT, TFT, HbA1C, ECG, X-Ray Chest were included. Special investigations like TMT, USG Abdomen, CT Scan/ MRI scan were included where ever available on records. Then the master chart were prepared on Microsoft excel sheet and then data were statistically analysed on SPSS Software version 20. P value of < 0.05 is considered significant. Demographic and clinical informations were determined by descriptive variables. The unpaired two tailed ‘t’ test was used in the statistical study.

Observations & Results

Table 1 - in our study total 970 patients were included, out of which (n=581, 59.9%) were males and (n=389, 40.1%) were females. The ratio of male and female patients was 1.5:1.

Table 1

Number and percentage of Male and Female patients -

Gender

Frequency (n=970)

Percentage (%)

Male

581

59.9

Female

389

40.1

Total

970

100

[i] M:F Ratio-1.5:1

Figure 1

Distribution of cases according to age

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/31211f01-8284-4cb5-8fea-eb46ea152e56image1.png

Table 2

Sex distribution in study with age group (60-69, 70-79, 80-89, 90yrs and above)

Age group

Male

Female

Total

Frequency

Percentage

Frequency

Percentage

Frequency

Percentage

60-69

359

61.8

231

59.4

590

60.8

70-79

157

27

99

25.4

256

26.4

80-89

57

9.8

49

12.6

106

10.9

≥90

8

1.4

10

2.6

18

1.9

Total

581

100

389

100

970

100

P=0.274

[i] Mean age of males- 67.6±7.53

[ii] Mean age of females-68.4±7.98

Table 3

Association of Gender with System involvement -

System

Male

Female

Total

Frequency

Percentage

Frequency

Percentage

Frequency

Percentage

Cardiovascular

112

19.3

104

26.7

216

22.3

Cerebrovascular

43

7.4

32

8.2

75

7.7

Respiratory

200

34.4

62

15.9

262

27

Gastrointestinal

50

8.6

61

15.7

111

11.4

Genitourinary

32

5.5

23

5.9

55

5.7

Endocrine

27

4.6

22

5.7

49

5.1

Eye

8

1.4

3

0.8

11

1.1

Infections

27

4.6

19

4.9

46

4.7

Ear

2

0.3

3

0.8

5

0.5

Hepatobiliary

13

2.2

11

2.8

24

2.5

Nutritional

16

2.8

10

2.6

26

2.7

Bone

2

0.3

3

0.8

5

0.5

Cancer

26

4.5

14

3.6

40

4.1

Skin

1

0.2

0

0

1

0.1

Other

22

3.8

22

5.7

44

4.5

Total

581

100

389

100

970

100

P=0.001

[i] Others included - General debility,Oedema, Anorexia Nervosa.

Table 4

Association of Gender with Diagnosis

Diagnosis

Male

Female

Total

Frequency

Percentage

Frequency

Percentage

Frequency

Percentage

COPD

121

20.8

26

6.7

147

15.2

Hypertension

22

3.8

36

9.3

58

6.0

CAD

33

5.7

23

5.9

56

13.1

Diabetes

26

4.5

18

4.6

44

4.5

Pulmonary TB

59

10.2

15

3.9

74

7.6

CVA

32

5.5

27

6.9

59

6.1

Cancer

26

4.5

14

3.6

40

4.1

Other

262

45.1

230

59.1

492

50.7

Total

581

100

389

100

970

100

P=0.001

Table 5

Distribution according to outcome (Discharge / LAMA/ Death / Referral / Other) 

Outcome

Frequency

Percentage

Discharge

728

75.1

DOR

60

6.2

LAMA

70

7.2

Refer

6

.6

Abscond

61

6.3

Death

45

4.6

Total

970

100

Table 6

Outcome accordingly to duration of stay 

Duration of stay (days)

Discharge

Lama/abs/refer

Death

Total

Frequency

Percentage

Frequency

Percentage

Frequency

Percentage

Frequency

Percentage

≤7 days

637

80.8

124

90.5

41

91.1

802

82.7

7-21 days

142

18

11

8.0

4

8.9

157

16.2

>21 days

9

1.1

2

1.5

0

0

11

1.1

Total

45

100

788

100

137

100

970

100

P=0.024

Figure 1 - Above figure shows that majority of patients belonged to 60 to 69 years of age (60.8%), followed by 24.6% and 10.9% patients belonging to 70 to 79 and 80 to 89 years of age respectively. Only 1.9% patients belonged to >90 years of age.

Table 2 - Mean age of males in our study was 67.6±7.53 years whereas that of females was 68.4±7.98 years. About 61.8% males and 59.4% females belonged to 60 to 69 years of age respectively. The present study observed no significant association between age and gender (p>0.05).

Table 3 - The present study documented that respiratory system was the most commonly involved amongst males (34.4%) whereas cardiovascular system was the most commonly involved amongst females. Test of significance observed statistically highly significant difference between system and gender (p<0.01).

Table 4 - COPD was observed in 20.8% males, whereas in 9.3% females hypertension was the most common diagnosis. The present study documented statistically significant association of diagnosis with gender (p<0.01).

Table 5 - About 75.1% patients were discharged whereas 6.2% patients were discharged on request or LAMA. Death was documented in only 4.6% patients and about 0.6% cases were referred to higher centre.

Table 6 - show Death was observed in 91.1% cases within 7 days of admission whereas about 80.8% cases were discharged within 7 days. The present study documented statistically significant association between duration of stay and outcome (p<0.05).

Discussion

People can be considered old because of certain changes in their activities or social roles as the older people have a limited role in the society. Also old people have limited regenerative abilities and are more prone to disease, syndromes, and sickness as compared to young adults. The medical study of the aging process is called Gerontology and the study of diseases that afflict the elderly is Geriatrics. Old age is not a disease in itself, but the elderly are vulnerable to long term diseases of insidious onset such as cardiovascular illness, CVA, cancers, diabetes, musculoskeletal and mental illnesses. They have multiple symptoms due to decline in the functioning of various body systems.4  Both perceived health and chronic illness are major elements of health status in elderly and there is growing evidence that older people are at risk for multiple comorbidities.5

Geriatric medicine is strongly oriented towards the International Classification of Function and Disability (ICF model) introduced by the World Health Organization (WHO) in 2001.6

In our study Mean age for males was 67.6 ± 7.53 and for females 68.4 ± 7.89. In our study Male: Female ratio is 1.5:1, The present study observed no significant association between age and gender (p>0.05). Which is slightly different with the study done by Vinay at el where number of males were significantly higher.7

In our study highest number of patients were found in 60-69yrs age group in both the sexes, (Male n=359, 61.8%) and (Female n=231, 59.4%) with total number of (n=590, 60.8%). In age group of 70-79yrs Male patients (n=157, 27%) and Female patients (n=99, 25.4%), In age groups 80-89yrs male (n=57, 9.8%) and female (n=49, 12.6%) and above 90yrs there is slightly higher number of females (n=10, 2.6%) as compared to male (n=8, 1.4%). This is similar to the study done by vinay k at el7 where they have found out the highest cases in age group of 70-79yrs (40.0%) and study done by Praveen kumar et al8 where they found highest patients in 60-69yrs (60%).

In our study various system involvement shows respiratory diseases comprises main cause of morbidity among geriatric patients which is comprised of non infective and infective causes both (N=262, 27%), Cardiovascular causes comes on the second place which consist of CAD, Hypertension and Myocardial infarction (n=216, 22.3%), after that Gastrointestinal causes which are comprised of abdominal pain, Dyspepsia, and Gastroenteritis (n=111, 11.4%), Cerebrovascular accidents both cerebral infarction and haemorrhage (n=75,7.7%), Genitourinary causes (n=55, 5.7%), Endocrine causes (n=49, 5.1%) and infections comprised of (n=46, 4.7%). Our findings are consistent with the findings done by vinay K et al7 and in contrast to the study done by Prakash et al4 where they found less cases of respiratory diseases (36%) .

The present study documented that respiratory system was the most commonly involved amongst males (34.4%) whereas cardiovascular system was the most commonly involved amongst females in cases of Hypertension (n=36, 9.3%). Test of significance observed statistically highly significant difference between system and gender (p<0.01).

COPD was observed in 20.8% males whereas in 9.3% females hypertension was the most common diagnosis. The present study documented statistically significant association of diagnosis with gender (p<0.01).

In our study CAD is second most common (13.1%) problem in the elderly population. Hypertension (male n=22,3.8%, Female n=36 9.3%) and among them also it was more common among females. Which is in contrast to other studies done by other authors. Our observation is different with other studies done in different parts of India and world as Hypertension more common among males 42.5% in Jaipur and 40.5% in Shimla, 53.8% in United States and 48% in Canada.8, 9, 10 In a study by Chadha et al11 reported a similar finding as of our study, hypertension as 52.2% and 58.4% among males and females respectively.

Our study is in discordance with the study on hypertension which showed higher prevalence of Hypertension 77.3% (male 74.4%, female 79.6%) among older adults (50 years and older) in South Africa.12

As hypertension is powerful, independent, and modifiable risk factor for the development of all the major clinical manifestations of atherosclerotic cardiovascular disease (Non communicable diseases),13 we should do early diagnosis and treatment of this silent disorder.

In our study majority of the patients were discharged (n=728, 75.1%) after that left against medical advise LAMA (n=70, 7.2%), discharge on request and Absconded (n=60, 6.2%), death rate comprised of (n=45, 4.6%) which is mainly in late age groups 80-89yrs and above 90 yrs.

In our study majority of the patients were discharged in less than 7 days (n=802, 82.7%) and in duration of 7-14 days (n=157, 16.2%) and very less patients are admitted in the medicine wards for more than 21 days (n=11, 1.1%).

Conclusions

This highlights the increasing trend of burden of geriatric health problems in India as there are trends of increasing life expectancy. For a substantial impact on this burden, unique preventive health care strategies specific to the elderly people in the early stages of geriatric patients should be clearly formulated and tested to reduce number of multiple comorbidities and disease complications and life is more convenient and independent at later age groups also. It reduces the cost of treatment as well.

For that the elderly should be encouraged to undergo periodic medical checks at a clinic for routine appraisal of their health status, so as to allow early detection and treatment of their morbidities.

Limitations of study

Some limitations are noted in this study. As Being a retrospective, observational (record based) study design, extraction of final diagnoses from patient’s files with multiple complaints/morbidities could alter the actual prevalence of disease recorded and finally the probability of missing data cannot be excluded.

Conflict of Interest

The authors declare that there are no conflicts of interest in this paper.

Source of Funding

None.

References

1 

Situation analysis of elderly in India. 2011http://mospi.nic.in/mospi_new/upload/elderly_in_india.pdf.

2 

WHO. World Health Day–toolkit for organizers. [Last cited on 2012]http://www.who.int/world.health.day/2012/toolkit/background/en/index.html

3 

World Health Organization Collaborative Programme supported by the Government of India. Multicentric study to establish epidemiological data on health problems in elderly. [Last cited on 2007]. 2007http://www.whoindia.org/LinkFiles/Health_Care_for_the_Elderly_Multicentric_study_healthcareelderly_exe.pdf

4 

R Prakash SK Choudhary US Singh A study of morbidity pattern among geriatric population in an urban area ofIndian J Commun Med2004293540

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R Gijsen N Hoeymans FG Schellevis D Ruwaard WA Satariano GA Van Den Bos Causes and consequences of comorbidity: A reviewJ Clin Epidemiol20015476617410.1016/s0895-4356(00)00363-2

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World Health Organization. International classification of functioning, disability and health: ICF. Geneva: World Health Organization2001

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R Prakash SK Choudhary US Singh A study of morbidity pattern among geriatric population in an urban area ofIndian J Commun Med20042913540

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V Kumar Morbidity pattern in elderly patients attending Medicine department of tertiary care centreInt J Adv Med2017411803

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D Sharma S R Mazta A Parashar Morbidity pattern and health-seeking behavior of aged population residing in Shimla hills of north India: a cross-sectional studyJ Family Med Prim Care2013221889310.4103/2249-4863.117421

10 

MS Kaplan N Huguet DH Feeny BH Mcfarland Self-reported hypertension prevalence and income among older adults in Canada and the United StatesSoc Sci Med2010706844910.1016/j.socscimed.2009.11.019

11 

SL Chadha S Radhakrishna Epidemiological study of Coronary heart disease in urban population of Delhi IndianJ Med Res19909242430

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MS Kaplan N Huguet DH Feeny BH Mcfarland prevalence and income among older adults in Canada and theUnited StatesSoc Sci Med2010708449

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G M Reaven Insulin resistance, hyper-insulinaemia and hypertriglyceridaemia in the aetiology, clinical course of hypertensionAm J Med1991902A712



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