Live Covid-19
United States 98,254,659
Cases: 98,254,659
Deaths: 1,084,893
Recovered: 95,188,388
Active: 1,981,378
India 44,597,498
Cases: 44,597,498
Deaths: 528,701
Recovered: 44,032,671
Active: 36,126
France 35,475,260
Cases: 35,475,260
Deaths: 155,112
Recovered: 34,567,599
Active: 752,549
Brazil 34,721,228
Cases: 34,721,228
Deaths: 686,366
Recovered: 33,853,693
Active: 181,169
Germany 33,386,229
Cases: 33,386,229
Deaths: 150,064
Recovered: 32,382,900
Active: 853,265
South Korea 24,831,761
Cases: 24,831,761
Deaths: 28,509
Recovered: 24,235,981
Active: 567,271
United Kingdom 23,672,855
Cases: 23,672,855
Deaths: 190,317
Recovered: 23,360,723
Active: 121,815
Italy 22,542,568
Cases: 22,542,568
Deaths: 177,197
Recovered: 21,898,422
Active: 466,949
Japan 21,345,939
Cases: 21,345,939
Deaths: 45,018
Recovered: 20,400,911
Active: 900,010
Russia 21,073,185
Cases: 21,073,185
Deaths: 387,559
Recovered: 20,175,902
Active: 509,724
Turkey 16,873,793
Cases: 16,873,793
Deaths: 101,139
Recovered: 16,763,477
Active: 9,177
Spain 13,422,984
Cases: 13,422,984
Deaths: 114,179
Recovered: 13,225,964
Active: 82,841
Vietnam 11,481,314
Cases: 11,481,314
Deaths: 43,149
Recovered: 10,593,181
Active: 844,984
Australia 10,241,739
Cases: 10,241,739
Deaths: 15,221
Recovered: 10,172,662
Active: 53,856
Argentina 9,711,355
Cases: 9,711,355
Deaths: 129,937
Recovered: 9,566,732
Active: 14,686
Netherlands 8,430,861
Cases: 8,430,861
Deaths: 22,650
Recovered: 8,366,038
Active: 42,173
Iran 7,550,021
Cases: 7,550,021
Deaths: 144,448
Recovered: 7,326,508
Active: 79,065
Mexico 7,090,330
Cases: 7,090,330
Deaths: 330,131
Recovered: 6,359,142
Active: 401,057
Taiwan 6,581,117
Cases: 6,581,117
Deaths: 11,201
Recovered: 5,743,472
Active: 826,444
Indonesia 6,435,719
Cases: 6,435,719
Deaths: 158,143
Recovered: 6,261,282
Active: 16,294
Colombia 6,307,372
Cases: 6,307,372
Deaths: 141,794
Recovered: 6,134,690
Active: 30,888
Poland 6,297,656
Cases: 6,297,656
Deaths: 117,598
Recovered: 5,335,940
Active: 844,118
Portugal 5,498,126
Cases: 5,498,126
Deaths: 25,058
Recovered: 5,402,037
Active: 71,031
Ukraine 5,177,217
Cases: 5,177,217
Deaths: 109,206
Recovered: 4,983,781
Active: 84,230
Austria 5,162,934
Cases: 5,162,934
Deaths: 20,758
Recovered: 5,030,658
Active: 111,518
Greece 4,920,192
Cases: 4,920,192
Deaths: 33,111
Recovered: 4,854,954
Active: 32,127
Malaysia 4,843,865
Cases: 4,843,865
Deaths: 36,375
Recovered: 4,783,393
Active: 24,097
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0
Thailand 4,682,132
Cases: 4,682,132
Deaths: 32,771
Recovered: 4,642,894
Active: 6,467
Israel 4,663,515
Cases: 4,663,515
Deaths: 11,698
Recovered: 4,644,081
Active: 7,736

Organizational Planning and Revenue Generation of Public Tertiary Health Institutions in Enugu State, Nigeria

Organizational Planning and Revenue Generation of Public Tertiary Health Institutions in Enugu State, Nigeria

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  • August 31, 2022
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The study examined the organizational planning and revenue generation of public tertiary health institutions in Enugu state, Nigeria. The specific objectives were to; examine the relationship between leadership planning and grants; relationship between programs and fees and the relationship between budgets and surplus of public tertiary health institutions in Enugu state, Nigeria. The area of the study comprised of staff Enugu State University Teaching Hospital, Park Lane and staff of University of Nigeria Teaching Hospital Enugu (UNTH), Enugu. The study used the descriptive survey design approach. A total population of four thousand, one hundred and twenty-five (4,125), staff was used. The sample size of 351, using Cochrains statistic formula at 5 percent margin of error. 282 staff returned the questionnaire and accurately filled. Data was presented and analyzed by mean score and standard deviation using Sprint Likert Scale. The hypotheses were analyzed using Pearson correlation coefficient (r) statistics tool. The findings indicated that there was positive relationship between leadership planning and grants (r= .691 <.872, p<.05). There was positive relationship between programs and fees (r= .677 <.871., p<.05). There was positive relationship between budgets and surplus of public tertiary leadership planning health institutions in Enugu state, Nigeria (r= .691 <.872, p<.05). The study concluded that organizational planning and revenue generation of public tertiary health institutions in Enugu state, Nigeria. The study recommended among others that the management of tertiary institutions should have effective leadership planning to be more comfortable when there is a plan in place.

Keywords: Organizational Planning; Revenue Generation; Public Tertiary Health Institutions

Authorship: Iwu, Francis PhD, Okolie, J. I., & Nwobia, C. E | FULL PDF

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